This page has only limited features, please log in for full access.

Dr. Taher Niknam
Shiraz University of Technology

Basic Info

Basic Info is private.

Research Keywords & Expertise

0 Optimization Algorithms
0 Protection
0 Smart Grid
0 microgrid
0 Control and Modelling of Power Converters

Fingerprints

microgrid
Optimization Algorithms
Protection
Smart Grid
cyber security in smart grid

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 09 August 2021 in Electronics
Reads 0
Downloads 0

Nowadays, the role of cyber-physical systems (CPSs) is of paramount importance in power system security since they are more vulnerable to different cyber-attacks. Detection of cyber-attacks on a direct current microgrid (DC-MG) has become a pivotal issue due to the increasing use of them in various electrical engineering applications, from renewable power generations to the distribution of electricity and power system of public transportation and subway electric network. In this study, a novel strategy was provided to diagnose possible false data injection attacks (FDIA) in DC-MGs to enhance the cyber-security of electrical systems. Accordingly, to diagnose cyber-attacks in DC-MG and to identify the FDIA to distributed energy resource (DER) unit, a new procedure of wavelet transform (WT) and singular value decomposition (SVD) based on deep machine learning was proposed. Additionally, this paper presents a developed selective ensemble deep learning (DL) approach using the gray wolf optimization (GWO) algorithm to identify the FDIA in DC-MG. In the first stage, in the paper, to gather sufficient data within the ordinary performance required for the training of the DL network, a DC-MG was operated and controlled with no FDIAs. In the information generation procedure, load changing was considered to have diagnosing datasets for cyber-attack and load variation schemes. The obtained simulation results were compared with the new Shallow model and Hilbert Huang Transform methods, and the results confirmed that the presented approach could more precisely and robustly identify multiple forms of FDIAs with more than 95% precision.

ACS Style

Moslem Dehghani; Taher Niknam; Mohammad Ghiasi; Navid Bayati; Mehdi Savaghebi. Cyber-Attack Detection in DC Microgrids Based on Deep Machine Learning and Wavelet Singular Values Approach. Electronics 2021, 10, 1914 .

AMA Style

Moslem Dehghani, Taher Niknam, Mohammad Ghiasi, Navid Bayati, Mehdi Savaghebi. Cyber-Attack Detection in DC Microgrids Based on Deep Machine Learning and Wavelet Singular Values Approach. Electronics. 2021; 10 (16):1914.

Chicago/Turabian Style

Moslem Dehghani; Taher Niknam; Mohammad Ghiasi; Navid Bayati; Mehdi Savaghebi. 2021. "Cyber-Attack Detection in DC Microgrids Based on Deep Machine Learning and Wavelet Singular Values Approach." Electronics 10, no. 16: 1914.

Journal article
Published: 15 July 2021 in Applied Energy
Reads 0
Downloads 0

Electric spring (ES) as a novel concept in power electronics has been developed for the purpose of dealing with demand-side management. In this paper, to conquer the challenges imposed by intermittent nature of renewable energy sources (RESs) and other uncertainties for constructing a secure modern microgrid (MG), the hybrid distributed operation of ESs and electric vehicles (EVs) parking lot is suggested. The proposed approach is implemented in the context of a hybrid stochastic/robust optimization (HSRO) problem, where the stochastic programming based on unscented transformation (UT) method models the uncertainties associated with load, energy price, RESs, and availability of MG equipment. Also, the bounded uncertainty-based robust optimization (BURO) is employed to model the uncertain parameters of EVs parking lot to achieve the robust potentials of EVs in improving MG indices. In the subsequent stage, the proposed non-linear problem model is converted to linear approximated counterpart to obtain an optimal solution with low calculation time and error. Finally, the proposed power management strategy is analyzed on 32-bus test MG to investigate the hybrid cooperation of ESs and EVs parking lot capabilities in different cases. The numerical results corroborate the efficiency and feasibility of the proposed solution in modifying MG indices.

ACS Style

Mohammadali Norouzi; Jamshid Aghaei; Sasan Pirouzi; Taher Niknam; Mahmud Fotuhi-Firuzabad; Miadreza Shafie-Khah. Hybrid stochastic/robust flexible and reliable scheduling of secure networked microgrids with electric springs and electric vehicles. Applied Energy 2021, 300, 117395 .

AMA Style

Mohammadali Norouzi, Jamshid Aghaei, Sasan Pirouzi, Taher Niknam, Mahmud Fotuhi-Firuzabad, Miadreza Shafie-Khah. Hybrid stochastic/robust flexible and reliable scheduling of secure networked microgrids with electric springs and electric vehicles. Applied Energy. 2021; 300 ():117395.

Chicago/Turabian Style

Mohammadali Norouzi; Jamshid Aghaei; Sasan Pirouzi; Taher Niknam; Mahmud Fotuhi-Firuzabad; Miadreza Shafie-Khah. 2021. "Hybrid stochastic/robust flexible and reliable scheduling of secure networked microgrids with electric springs and electric vehicles." Applied Energy 300, no. : 117395.

Journal article
Published: 21 June 2021 in IEEE Access
Reads 0
Downloads 0

This paper endeavors a probabilistic framework to ascertain optimal operation of a microgrid with a special focus on challenges that storage systems bring about. The objective function optimizes the operation of renewable energy resources and startup/shutdown costs of nonrenewable energy resources along with the main grid and storage units’ costs as a mixed-integer nonlinear programming (MINLP) problem. The optimization problem is solved based on a modified bird mating optimization (MBMO) algorithm and a novel cumulative mutation process. In order to capture the high uncertainties associated with the market price, Photovoltaic, Wind Turbine output powers, and load demands, a reduced unscented transformation (RUT) method has been exploited. The RUT method can effectively model the correlation of variables using (m+2) sampling points. The framework presented in this paper has considered five case studies with multiple seasonal and property features. Implementing the proposed framework on a typical test microgrid and a real large-scale microgrid proves its effectiveness and accuracy through various operational conditions, changing the storage units’ structure and characteristics, RESs’ correlation modeling, and avoiding convergence to local minimums by adopting a newly mutated population. This extensive analysis provides options for MG operation by studying compound cases and providing solutions for every scenario. Promising results regarding the execution time, cost function and its SD values as well as head-to-head points for battery investment costs have been found.

ACS Style

Motahareh Pourbehzadi; Taher Niknam; Jamshid Aghaei; Abdollah Kavousi-Fard; Ali Dehghan; Giti Javidi; Ehsan Sheybani. Short-term Scheduling of a Renewable-based Microgrid: Stochastic/Economic Battery modeling. IEEE Access 2021, 9, 1 -1.

AMA Style

Motahareh Pourbehzadi, Taher Niknam, Jamshid Aghaei, Abdollah Kavousi-Fard, Ali Dehghan, Giti Javidi, Ehsan Sheybani. Short-term Scheduling of a Renewable-based Microgrid: Stochastic/Economic Battery modeling. IEEE Access. 2021; 9 ():1-1.

Chicago/Turabian Style

Motahareh Pourbehzadi; Taher Niknam; Jamshid Aghaei; Abdollah Kavousi-Fard; Ali Dehghan; Giti Javidi; Ehsan Sheybani. 2021. "Short-term Scheduling of a Renewable-based Microgrid: Stochastic/Economic Battery modeling." IEEE Access 9, no. : 1-1.

Journal article
Published: 20 June 2021 in Applied Sciences
Reads 0
Downloads 0

Cyber-physical threats as false data injection attacks (FDIAs) in islanded smart microgrids (ISMGs) are typical accretion attacks, which need urgent consideration. In this regard, this paper proposes a novel cyber-attack detection model to detect FDIAs based on singular value decomposition (SVD) and fast Fourier transform (FFT). Since new research are mostly focusing on FDIAs detection in DC systems, paying attention to AC systems attack detection is also necessary; hence, AC state estimation (SE) have been used in SI analysis and in considering renewable energy sources effect. Whenever malicious data are added into the system state vectors, vectors’ temporal and spatial datum relations might drift from usual operating conditions. In this approach, switching surface based on sliding mode controllers is dialyzed to regulate detailed FFT’s coefficients to calculate singular values. Indexes are determined according to the composition of FFT and SVD in voltage/current switching surface to distinguish the potential cyber-attack. This protection layout is presented for cyber-attack detection and is studied in various types of FDIA forms like amplitude and vector derivation of signals, which exchanged between agents such as smart sensor, control units, smart loads, etc. The prominent advantage of the proposed detection layout is to reduce the time (less than 10 milliseconds from the attack outset) in several kinds of case studies. The proposed method can detect more than 96% accuracy from 2967 sample tests. The performances of the method are carried out on AC-ISMG in MATLAB/Simulink environment.

ACS Style

Moslem Dehghani; Taher Niknam; Mohammad Ghiasi; Pierluigi Siano; Hassan Haes Alhelou; Amer Al-Hinai. Fourier Singular Values-Based False Data Injection Attack Detection in AC Smart-Grids. Applied Sciences 2021, 11, 5706 .

AMA Style

Moslem Dehghani, Taher Niknam, Mohammad Ghiasi, Pierluigi Siano, Hassan Haes Alhelou, Amer Al-Hinai. Fourier Singular Values-Based False Data Injection Attack Detection in AC Smart-Grids. Applied Sciences. 2021; 11 (12):5706.

Chicago/Turabian Style

Moslem Dehghani; Taher Niknam; Mohammad Ghiasi; Pierluigi Siano; Hassan Haes Alhelou; Amer Al-Hinai. 2021. "Fourier Singular Values-Based False Data Injection Attack Detection in AC Smart-Grids." Applied Sciences 11, no. 12: 5706.

Journal article
Published: 03 June 2021 in Electric Power Systems Research
Reads 0
Downloads 0

The presence of gas-to-power (G2P) and power-to-gas (P2G) systems in the power system has led to the interdependency of gas and electricity energies. Thus, to increase energy efficiency and achieve desirable financial profit to the mentioned elements, an energy market and ancillary services combined by gas and electricity energies are required so that interdependency of electrical and gas energies and vice versa and the dependency of price to energy can be observable. Hence, this paper presents the strategic offering method for gas and electricity producers (GPs and EPs) in the coupled gas and electricity market as the day-ahead (DA) energy and reserve model. This strategy includes a two-stage problem, where the first stage contains a bi-level model that minimizes the difference between the expected operation cost and expected revenue of all strategic EPs (SEPs) in DA electricity energy and reserve markets subjects to the SEPs model in the upper-level. The lower-level problem minimizes the expected non-SEPs operation cost limited to DC optimal power flow equations, reserve, and non-SEPs formulation. The same problem with the first stage formulation is repeated for GPs in the second stage. Strategic GPs (SGPs) participation model in the DA gas energy and reserve markets presents in the upper-level problem but the market clearing price (MCP) method in the gas network expresses in the lower-level problem. This scheme includes uncertainties of demand and renewable power that are modeled by stochastic programming. The Karush-Kuhn-Tucker (KKT) approach obtains a single-level formulation in each stage, and thus, the master/salve decomposition algorithm solves the proposed strategy to achieve the optimal solution. Finally, this method is simulated on a standard test system to examine its capabilities. The numerical results obtained by the algorithm highlights that it can find the optimal solution in the least possible time considering the least computational errors. Furthermore, units with inexpensive fuel generally participate in the energy market following the proposed strategy; however, all units participate in the reserve market at all operating hours, which aims to achieve high optimal financial profit for the units. Following this, SEPs and SGPs in the mentioned market succeeded to obtain a profit of 37.5% and 13.6%, respectively, in their operating cost.

ACS Style

Ali Asghar Baziar; Taher Niknam; Mohsen Simab. Strategic offering of producers in the day-ahead coupled gas and electricity market including energy and reserve models. Electric Power Systems Research 2021, 199, 107376 .

AMA Style

Ali Asghar Baziar, Taher Niknam, Mohsen Simab. Strategic offering of producers in the day-ahead coupled gas and electricity market including energy and reserve models. Electric Power Systems Research. 2021; 199 ():107376.

Chicago/Turabian Style

Ali Asghar Baziar; Taher Niknam; Mohsen Simab. 2021. "Strategic offering of producers in the day-ahead coupled gas and electricity market including energy and reserve models." Electric Power Systems Research 199, no. : 107376.

Journal article
Published: 19 April 2021 in Applied Sciences
Reads 0
Downloads 0

Today, in various leading power utilities in developing countries, achieving optimal operational energy management and planning, taking into account the costs reduction of generation, transmission and distribution of electricity, and also reducing the emission of an environmental pollutant becomes more and more important. Optimal use of renewable energy sources (RESs) is an effective way to achieve these goals. In this regard, in this research article, an improved multi-objective differential evolutionary (IMODE) optimization algorithm is suggested and performed to dispatch electricity generations in a smart microgrid (MG) system, taking into account economy and emission as competitive issues. In this paper, a nonlinear equation of multi-objective optimization issue with various equality and inequality limitations is formulated in order to lower the total operational costs of the MG considering environmental pollution effects simultaneously. In order to address the issue of optimal operation of the MG in single-objective and multi-objective forms, an intelligent method according to the improved differential evolutionary (IDE) optimization is utilized and performed and the proposed algorithm is implemented on different problems. First, it is assumed that there is no limit to the exchange of power overhead, and secondly, the limitation of power exchange with the upstream grid is considered. In multi-objective mode, these two modes are also considered. In order to show the impact of renewable energy on the cost, in the third part of the simulations, the operation is solved with maximum participation of renewable energy sources. In the final section, the sensitivity analysis on the number of populations in this problem is performed. The obtained results of the simulation are compared to differential evolutionary (DE) and particle swarm optimization (PSO) techniques. The effectiveness of the suggested multi-operational energy management method is confirmed by applying a study case system.

ACS Style

Mohammad Ghiasi; Taher Niknam; Moslem Dehghani; Pierluigi Siano; Hassan Haes Alhelou; Amer Al-Hinai. Optimal Multi-Operation Energy Management in Smart Microgrids in the Presence of RESs Based on Multi-Objective Improved DE Algorithm: Cost-Emission Based Optimization. Applied Sciences 2021, 11, 3661 .

AMA Style

Mohammad Ghiasi, Taher Niknam, Moslem Dehghani, Pierluigi Siano, Hassan Haes Alhelou, Amer Al-Hinai. Optimal Multi-Operation Energy Management in Smart Microgrids in the Presence of RESs Based on Multi-Objective Improved DE Algorithm: Cost-Emission Based Optimization. Applied Sciences. 2021; 11 (8):3661.

Chicago/Turabian Style

Mohammad Ghiasi; Taher Niknam; Moslem Dehghani; Pierluigi Siano; Hassan Haes Alhelou; Amer Al-Hinai. 2021. "Optimal Multi-Operation Energy Management in Smart Microgrids in the Presence of RESs Based on Multi-Objective Improved DE Algorithm: Cost-Emission Based Optimization." Applied Sciences 11, no. 8: 3661.

Journal article
Published: 15 April 2021 in IEEE Transactions on Industry Applications
Reads 0
Downloads 0

The smart grid is a fully automatic delivery grid for electricity power with a two-way reliable flow of electricity and information among different equipment on the grid. Smart meters and sensors monitoring the system provide a huge amount of data in various part of smart grid. To logically manage this trouble, a new lossy data compression approach for big data compression is proposed. The optimal singular value decomposition (OSVD) is applied to a matrix that achieves the optimal number of singular values to the sending process, and the other ones will be neglected. This goal is done due to the quality of retrieved data and the compression ratio. In the presented scheme, to implementation of the optimization framework, various intelligent optimization methods are used to determine the number of optimal values in the elimination stage. The efficiency and capabilities of the proposed method are examined using a wide range of data types, from electricity market data to image processing benchmarks. The comparisons show that the compression level obtained by the proposed method can dominate the points given by the existing SVD rank reduction methods. Also, as the other finding of the paper, the performance of the rank reduction methods depends on the application and data types. It means that a rank reduction method can reveal a good performance in one application and performs unacceptably for another purpose. So, the optimized rank reduction can pave the way toward a robust and reliable performance.

ACS Style

Seyed Hashemipour; Jamshid Aghaei; Abdollah Kavousi-Fard; Niknam Taher; Ladan Salimi; Pedro Crespo del Granado; Miadreza Shafie-Khah; Fei Wang; Joao P. S. Catalao. Optimal Singular Value Decomposition Based Big Data Compression Approach in Smart Grids. IEEE Transactions on Industry Applications 2021, 57, 3296 -3305.

AMA Style

Seyed Hashemipour, Jamshid Aghaei, Abdollah Kavousi-Fard, Niknam Taher, Ladan Salimi, Pedro Crespo del Granado, Miadreza Shafie-Khah, Fei Wang, Joao P. S. Catalao. Optimal Singular Value Decomposition Based Big Data Compression Approach in Smart Grids. IEEE Transactions on Industry Applications. 2021; 57 (4):3296-3305.

Chicago/Turabian Style

Seyed Hashemipour; Jamshid Aghaei; Abdollah Kavousi-Fard; Niknam Taher; Ladan Salimi; Pedro Crespo del Granado; Miadreza Shafie-Khah; Fei Wang; Joao P. S. Catalao. 2021. "Optimal Singular Value Decomposition Based Big Data Compression Approach in Smart Grids." IEEE Transactions on Industry Applications 57, no. 4: 3296-3305.

Journal article
Published: 02 April 2021 in IEEE Transactions on Intelligent Transportation Systems
Reads 0
Downloads 0

The concept of smart cities has emerged as an ongoing research in recent years. In this case, there is a proven association between the smart cities and the smart devices, which have caused the power systems to become more flexible, controllable and detectable. Along with these promising results, many disputes have been generated over the cyber-attacks as unpredictable destructive threats, if not properly repelled, which could seriously endanger the power system. With this in mind, this paper explores a novel stochastic virtual assignment (SVA) method based on a directed acyclic graph (DAG) approach, where the essential data of the system sections are broadcasted decentralized through the data blocks, as a worthwhile step to deal with the cyber attacks' risk. To do so, an additional security layer is added to the data blocks aiming to enhance the security of the data against the long lasting data sampling by virtually assigning the hash addresses (HAs) to the data blocks, which are randomly changed based on a stochastic process. The basic network architecture is based on a Provchain structure as a new framework to constantly monitor data operation. Two pivotal strategies also represented to deal with the energy and time needed for the HAs generation process, which have improved the proposed method. In this paper, the proposed security framework is implemented in a smart city environment to provide a secure energy transaction platform. Results show the authenticity of this model and demonstrate the effectiveness of the SVA method in decreasing the successful probability of cyber threat, increasing the time needed for the cyber attacker to decrypt and manipulate the data block.

ACS Style

Morteza Sheikh; Jamshid Aghaei; Hossein Chabok; Mahmoud Roustaei; Taher Niknam; Abdollah Kavousi-Fard; Miadreza Shafie-Khah; Joao P. S. Catalao. Synergies Between Transportation Systems, Energy Hub and the Grid in Smart Cities. IEEE Transactions on Intelligent Transportation Systems 2021, PP, 1 -15.

AMA Style

Morteza Sheikh, Jamshid Aghaei, Hossein Chabok, Mahmoud Roustaei, Taher Niknam, Abdollah Kavousi-Fard, Miadreza Shafie-Khah, Joao P. S. Catalao. Synergies Between Transportation Systems, Energy Hub and the Grid in Smart Cities. IEEE Transactions on Intelligent Transportation Systems. 2021; PP (99):1-15.

Chicago/Turabian Style

Morteza Sheikh; Jamshid Aghaei; Hossein Chabok; Mahmoud Roustaei; Taher Niknam; Abdollah Kavousi-Fard; Miadreza Shafie-Khah; Joao P. S. Catalao. 2021. "Synergies Between Transportation Systems, Energy Hub and the Grid in Smart Cities." IEEE Transactions on Intelligent Transportation Systems PP, no. 99: 1-15.

Journal article
Published: 17 March 2021 in IEEE Access
Reads 0
Downloads 0

Unexpected natural disasters or physical attacks can have various consequences, including extensive and prolonged blackouts on power systems. Energy systems should be resistant to unwanted events, and their performance is not easily affected by such conditions. The power system should also have sufficient flexibility to adapt to severe disturbances without losing its full version; it should restore itself immediately after resolving the disturbance. This critical feature of the behavior of infrastructure systems in power grids is called resilience. In this paper, the concepts related to resilience in the power system against severe disturbance are explained. The resilience and evaluation process components are introduced; then, an optimal design of resilient substations in the Noorabad city distribution grid against physical attack is presented. This research proposes an optimal solution for simultaneously allocating the feeder routing issue and substation facilities and finding the models of installed conductors and economic hardening of power lines due to unexpected physical attacks on vital urban operational infrastructure. The values of distribution networks are calculated using the grey wolf optimization (GWO) algorithm to solve the problem of designing an optimal distribution network scheme (ODNS) and optimal resilient distribution network scheme (ORDNS). Obtained results confirm the effectiveness of the proposed resiliency-cost-based optimization approach.

ACS Style

Mohammad Ghiasi; Moslem Dehghani; Taher Niknam; Hamid Reza Baghaee; Sanjeevikumar Padmanaban; Gevork B. Gharehpetian; Hamdulah Aliev. Resiliency/Cost-Based Optimal Design of Distribution Network to Maintain Power System Stability Against Physical Attacks: A Practical Study Case. IEEE Access 2021, 9, 43862 -43875.

AMA Style

Mohammad Ghiasi, Moslem Dehghani, Taher Niknam, Hamid Reza Baghaee, Sanjeevikumar Padmanaban, Gevork B. Gharehpetian, Hamdulah Aliev. Resiliency/Cost-Based Optimal Design of Distribution Network to Maintain Power System Stability Against Physical Attacks: A Practical Study Case. IEEE Access. 2021; 9 ():43862-43875.

Chicago/Turabian Style

Mohammad Ghiasi; Moslem Dehghani; Taher Niknam; Hamid Reza Baghaee; Sanjeevikumar Padmanaban; Gevork B. Gharehpetian; Hamdulah Aliev. 2021. "Resiliency/Cost-Based Optimal Design of Distribution Network to Maintain Power System Stability Against Physical Attacks: A Practical Study Case." IEEE Access 9, no. : 43862-43875.

Journal article
Published: 12 March 2021 in Sustainability
Reads 0
Downloads 0

Multi-carrier energy systems (MCESs) provide collaboration between various kinds of energy carriers to supply the electricity, heating, and cooling demands. With the widespread use of MCESs in recent years, the security assessment of energy systems has attracted the attention of many contemporary researchers. However, the complexity of an MCES, including electrical, natural gas, and district heating networks, and different uncertainties imposes vast challenges to keep a safe operation energy supply. In this paper, a systematic methodology for the security analysis of MCESs is presented. For this purpose, considering electrical, natural gas, and district heating networks, an integrated model of energy systems is introduced. The security analysis of this framework is evaluated using some indices. In this approach, two well-known performance indices, including power performance index (PIP) and voltage performance index (PIV), are used to analyze the electrical networks’ security. Besides, the concept of Energy not supplied (ENS) is used for natural gas and district heating networks. In this regard, security analysis of a typical MCES including the IEEE 14-bus electrical network, the IEEE 30-bus electrical network, 20-node Belgian natural gas network, and 14-node district heating network is examined. The applicability of the proposed technique will be proven using comprehensive simulation analysis.

ACS Style

Javad Estakhr; Mohsen Simab; Taher Niknam. Security Analysis of Hybrid Multi-Carrier Energy Systems. Sustainability 2021, 13, 3102 .

AMA Style

Javad Estakhr, Mohsen Simab, Taher Niknam. Security Analysis of Hybrid Multi-Carrier Energy Systems. Sustainability. 2021; 13 (6):3102.

Chicago/Turabian Style

Javad Estakhr; Mohsen Simab; Taher Niknam. 2021. "Security Analysis of Hybrid Multi-Carrier Energy Systems." Sustainability 13, no. 6: 3102.

Journal article
Published: 12 February 2021 in IEEE Access
Reads 0
Downloads 0

Due to the simultaneous development of DC-microgrids (DC-MGs) and the use of intelligent control, monitoring and operation methods, as well as their structure, these networks can be threatened by various cyber-attacks. Overall, a typical smart DC-MG includes battery, supercapacitors and power electronic devices, fuel cell, solar Photovoltaic (PV) systems, and loads such as smart homes, plug-in hybrid electrical vehicle (PHEV), smart sensors and network communication like fiber cable or wireless to send and receive data. Given these issues, cyber-attack detection and securing data exchanged in smart DC-MGs like CPS has been considered by experts as a significant subject in recent years. In this study, in order to detect false data injection attacks (FDIAs) in a MG system, Hilbert-Huang transform methodology along with blockchain-based ledger technology is used for enhancing the security in the smart DC-MGs with analyzing the voltage and current signals in smart sensors and controllers by extracting the signal details. Results of simulation on the different cases are considered with the objective of verifying the efficacy of the proposed model. The results offer that the suggested model can provide a more precise and robust detection mechanism against FDIA and improve the security of data exchanging in a smart DC-MG.

ACS Style

Mohammad Ghiasi; Moslem Dehghani; Taher Niknam; Abdollah Kavousi-Fard; Pierluigi Siano; Hassan Haes Alhelou. Cyber-Attack Detection and Cyber-Security Enhancement in Smart DC-Microgrid Based on Blockchain Technology and Hilbert Huang Transform. IEEE Access 2021, 9, 29429 -29440.

AMA Style

Mohammad Ghiasi, Moslem Dehghani, Taher Niknam, Abdollah Kavousi-Fard, Pierluigi Siano, Hassan Haes Alhelou. Cyber-Attack Detection and Cyber-Security Enhancement in Smart DC-Microgrid Based on Blockchain Technology and Hilbert Huang Transform. IEEE Access. 2021; 9 ():29429-29440.

Chicago/Turabian Style

Mohammad Ghiasi; Moslem Dehghani; Taher Niknam; Abdollah Kavousi-Fard; Pierluigi Siano; Hassan Haes Alhelou. 2021. "Cyber-Attack Detection and Cyber-Security Enhancement in Smart DC-Microgrid Based on Blockchain Technology and Hilbert Huang Transform." IEEE Access 9, no. : 29429-29440.

Original paper
Published: 03 February 2021 in Electrical Engineering
Reads 0
Downloads 0

This paper proposes a multi-carrier energy system or energy hub in which natural gas and electricity resources are used as inputs. The output demand profile includes electrical, heating and cooling energy, which is evaluated in four seasons. The significant differences in simulations and evaluation of the considered energy hub in different seasons have led to climate variation, resulting in higher electrical energy consumption in warmer seasons than thermal energy, while it is contrariwise in the cold season. When the customers are willing to participate in the demand response programs, total energy consumption decreases, and this can only change the pattern of customer consumption in the warmer seasons. A mixed-integer linear programing (MILP) formulation for this optimization problem is proposed and solved using the CPLEX solver in general algebraic modeling system (GAMS). Simulations of the energy hub system, including renewable wind and solar sources, will confirm and verify that the model provided represents a growth in energy hub profit, reducing the cost of purchased power from electricity grid as well as decreasing cost of social welfare.

ACS Style

J. Ebrahimi; T. Niknam; B. Bahmani Firouzi. Electrical and thermal power management in an energy hub system considering hybrid renewables. Electrical Engineering 2021, 103, 1965 -1976.

AMA Style

J. Ebrahimi, T. Niknam, B. Bahmani Firouzi. Electrical and thermal power management in an energy hub system considering hybrid renewables. Electrical Engineering. 2021; 103 (4):1965-1976.

Chicago/Turabian Style

J. Ebrahimi; T. Niknam; B. Bahmani Firouzi. 2021. "Electrical and thermal power management in an energy hub system considering hybrid renewables." Electrical Engineering 103, no. 4: 1965-1976.

Journal article
Published: 26 December 2020 in International Journal of Electrical Power & Energy Systems
Reads 0
Downloads 0

Sectionalizing switches (SSs) have been installed in Distribution networks with the aim of providing maneuver and ring points, so raising service reliability. It is usually assumed that these switches are totally reliable although, in practice, they have not ideal efficiency at all times. In fact, the switches might occasionally face failure, which decreases their capability with the aim of enhancing system reliability. A model with the aim of considering the failure probability of the switches in their optimal placement issue is proposed in this paper. The model aids with the aim of minimizing the whole costs of SSs and the interruption costs incurred through interrupted users. This study uses the discrete Markov chain model with the aim of obtaining the malfunction possibility under various states. Afterwards, the placement problem is solved with the aim of obtaining the global optimal solution with genetic algorithm. The advantage of the suggested model has been investigated according to sensitivity analysis and various scenarios. The research illustrates how the outcomes of the placement issue have been influenced through the uncertainty arising from the possible failure of the switches and how ignoring the uncertainty is able to cause deviation of the anticipated profit from the real one. The efficiency of the suggested procedure has been evaluated and shown through investigating on the Ahwaz city distribution network. The outcomes of simulation prove the ability and precision of the suggested procedure.

ACS Style

Hassan Karimi; Taher Niknam; Jamshid Aghaei; Mina GhasemiGarpachi; Moslem Dehghani. Switches optimal placement of automated distribution networks with probability customer interruption cost model: A case study. International Journal of Electrical Power & Energy Systems 2020, 127, 106708 .

AMA Style

Hassan Karimi, Taher Niknam, Jamshid Aghaei, Mina GhasemiGarpachi, Moslem Dehghani. Switches optimal placement of automated distribution networks with probability customer interruption cost model: A case study. International Journal of Electrical Power & Energy Systems. 2020; 127 ():106708.

Chicago/Turabian Style

Hassan Karimi; Taher Niknam; Jamshid Aghaei; Mina GhasemiGarpachi; Moslem Dehghani. 2020. "Switches optimal placement of automated distribution networks with probability customer interruption cost model: A case study." International Journal of Electrical Power & Energy Systems 127, no. : 106708.

Journal article
Published: 23 December 2020 in Sustainability
Reads 0
Downloads 0

Using blockchain technology as one of the new methods to enhance the cyber and physical security of power systems has grown in importance over the past few years. Blockchain can also be used to improve social welfare and provide sustainable energy for consumers. In this article, the effect of distributed generation (DG) resources on the transmission power lines and consequently fixing its conjunction and reaching the optimal goals and policies of this issue to exploit these resources is investigated. In order to evaluate the system security level, a false data injection attack (FDIA) is launched on the information exchanged between independent system operation (ISO) and under-operating agents. The results are analyzed based on the cyber-attack, wherein the loss of network stability as well as economic losses to the operator would be the outcomes. It is demonstrated that cyber-attacks can cause the operation of distributed production resources to not be carried out correctly and the network conjunction will fall to a large extent; with the elimination of social welfare, the main goals and policies of an independent system operator as an upstream entity are not fulfilled. Besides, the contracts between independent system operators with distributed production resources are not properly closed. In order to stop malicious attacks, a secured policy architecture based on blockchain is developed to keep the security of the data exchanged between ISO and under-operating agents. The obtained results of the simulation confirm the effectiveness of using blockchain to enhance the social welfare for power system users. Besides, it is demonstrated that ISO can modify its polices and use the potential and benefits of distributed generation units to increase social welfare and reduce line density by concluding contracts in accordance with the production values given.

ACS Style

Moslem Dehghani; Mohammad Ghiasi; Taher Niknam; Abdollah Kavousi-Fard; Mokhtar Shasadeghi; Noradin Ghadimi; Farhad Taghizadeh-Hesary. Blockchain-Based Securing of Data Exchange in a Power Transmission System Considering Congestion Management and Social Welfare. Sustainability 2020, 13, 90 .

AMA Style

Moslem Dehghani, Mohammad Ghiasi, Taher Niknam, Abdollah Kavousi-Fard, Mokhtar Shasadeghi, Noradin Ghadimi, Farhad Taghizadeh-Hesary. Blockchain-Based Securing of Data Exchange in a Power Transmission System Considering Congestion Management and Social Welfare. Sustainability. 2020; 13 (1):90.

Chicago/Turabian Style

Moslem Dehghani; Mohammad Ghiasi; Taher Niknam; Abdollah Kavousi-Fard; Mokhtar Shasadeghi; Noradin Ghadimi; Farhad Taghizadeh-Hesary. 2020. "Blockchain-Based Securing of Data Exchange in a Power Transmission System Considering Congestion Management and Social Welfare." Sustainability 13, no. 1: 90.

Journal article
Published: 01 December 2020 in IEEE Access
Reads 0
Downloads 0

Due to the widespread use of electric motors in various industries, it is very important to have optimally designed motors in that they have high efficiency and lower negative effects on the quality of the power grid. Therefore, in this paper, the effects of winding type (wide and concentrated) on ripple torque in internal permanent magnet motor (IPMM) are investigated. In order to reduce the ripple torque and to increase the average torque, by making optimal holes in the rotor surface and using the sensitivity analysis method, the structure of the IPMM is improved. In this method, the number, dimensions and location of holes are optimized using the sensitivity analysis approach, which reduces the ripple torque of the motor. Using a concentrated winding instead of a wide winding, the toothed ripple torque is reduced by approximately 75% while maintaining the average torque value. Also, by making holes in the rotor surface and optimizing them using the finite element technique and sensitivity analysis, it is demonstrated that the amount of ripple torque by 20%. In the proposed approach, it is proved that in the concentrated winding, in addition to reducing the spatial harmonics, the average amount of torque can also be improved. Obtained results of the simulation confirm the effectiveness of the proposed method.

ACS Style

Alireza Ramezani; Mohammad Ghiasi; Moslem Dehghani; Taher Niknam; Pierluigi Siano; Hassan Haes Alhelou. Reduction of Ripple Toothed Torque in the Internal Permanent Magnet Electric Motor by Creating Optimal Combination of Holes in the Rotor Surface Considering Harmonic Effects. IEEE Access 2020, 8, 215107 -215124.

AMA Style

Alireza Ramezani, Mohammad Ghiasi, Moslem Dehghani, Taher Niknam, Pierluigi Siano, Hassan Haes Alhelou. Reduction of Ripple Toothed Torque in the Internal Permanent Magnet Electric Motor by Creating Optimal Combination of Holes in the Rotor Surface Considering Harmonic Effects. IEEE Access. 2020; 8 (99):215107-215124.

Chicago/Turabian Style

Alireza Ramezani; Mohammad Ghiasi; Moslem Dehghani; Taher Niknam; Pierluigi Siano; Hassan Haes Alhelou. 2020. "Reduction of Ripple Toothed Torque in the Internal Permanent Magnet Electric Motor by Creating Optimal Combination of Holes in the Rotor Surface Considering Harmonic Effects." IEEE Access 8, no. 99: 215107-215124.

Journal article
Published: 19 October 2020 in Energy
Reads 0
Downloads 0

Serious challenges such as rapid growth in population, environmental pollution, and possibility of energy shortage have motivated researchers for designing optimal energy operation strategies through the concept of smart city. Buildings and electric transport systems, especially subway systems and Plug in Electric Vehicles (PEVs), are among the major energy consumption systems in a smart city. In this paper, a linear model is proposed for the co-optimization planning and operation of distributed energy resources and transportation systems in an interconnected system that analyzes the interactions of such an interconnected system. The idea of Regenerative Breaking Energy (RBE) is deployed to improve the operation of the subway system through the interconnected subway system in the smart city. For the optimal operation of the smart city, an optimization formulation is devised to minimize the total cost of the city in the presence of subway RBE. In this paper, the traffic and length of the routes are modeled considering Vehicle to Grid (V2G) and Vehicle to Subway (V2S) located in the parking lots. Furthermore, the degradation model is developed to increase the PEVs’ battery life. An unscented transformation (UT) approach is utilized to construct a stochastic framework based on the uncertainty method, to handle the uncertain behaviors of PEVs and distributed energy resource and loads in the smart city. Finally, the proposed model is implemented and its performance is analyzed in both the stochastic and deterministic frameworks.

ACS Style

Mina Jafari; Abdollah Kavousi-Fard; Taher Niknam; Omid Avatefipour. Stochastic synergies of urban transportation system and smart grid in smart cities considering V2G and V2S concepts. Energy 2020, 215, 119054 .

AMA Style

Mina Jafari, Abdollah Kavousi-Fard, Taher Niknam, Omid Avatefipour. Stochastic synergies of urban transportation system and smart grid in smart cities considering V2G and V2S concepts. Energy. 2020; 215 ():119054.

Chicago/Turabian Style

Mina Jafari; Abdollah Kavousi-Fard; Taher Niknam; Omid Avatefipour. 2020. "Stochastic synergies of urban transportation system and smart grid in smart cities considering V2G and V2S concepts." Energy 215, no. : 119054.

Original paper
Published: 08 July 2020 in Electrical Engineering
Reads 0
Downloads 0

It can be concluded from the results of the previously published studies that the dual-stator consequent-pole Vernier PM machine introduces several advantages including higher torque per PM volume density, lower cogging torque, improved efficiency and simpler and more robust structure in comparison with the other presented structures. However, the optimal design procedure of the machine is not established yet. The importance of this issue is because of different geometry than conventional radial flux machines, unbalanced magnetic forces and mechanical and thermal limitations. In this paper, design variables are selected based on sensitivity analyses using FE method. Then, the objective function is defined as maximizing torque, efficiency and power factor and minimizing cogging torque. Several design constrained are imposed on the geometry dimensions, current densities and magnetic flux densities in different regions and mechanical forces. Magnetic equivalent circuit model is implemented for predicting the machine performance by varying the design parameters in each iteration of population-based optimization algorithm. The results of an optimum designed 10 kW machine with 2 kNm torque for in-wheel electric vehicle application are verified using 3D FE method.

ACS Style

Mozaffar Vali; Taher Niknam; Hamed Gorginpour; Bahman Bahmani-Firouzi. Optimal design procedure of a high-torque-density dual-stator consequent-pole Vernier PM machine. Electrical Engineering 2020, 1 -17.

AMA Style

Mozaffar Vali, Taher Niknam, Hamed Gorginpour, Bahman Bahmani-Firouzi. Optimal design procedure of a high-torque-density dual-stator consequent-pole Vernier PM machine. Electrical Engineering. 2020; ():1-17.

Chicago/Turabian Style

Mozaffar Vali; Taher Niknam; Hamed Gorginpour; Bahman Bahmani-Firouzi. 2020. "Optimal design procedure of a high-torque-density dual-stator consequent-pole Vernier PM machine." Electrical Engineering , no. : 1-17.

Journal article
Published: 14 June 2020 in Energy
Reads 0
Downloads 0

The increasing growth of renewable energy resources (RESs) in microgrids and the uncertainty associated with their generation have led to problems in the management of smart active distribution networks. One of the main challenges in the planning for the operation of renewable power systems is net electrical load forecasting, therefore, increasing the accuracy of net-load forecasting is a vital issue. In this study, a deep neural network model is used to forecast the net-load. The structure of the deep neural network used in the proposed forecasting model has been constituted by several autoencoders and a cascade neural network. The net-load forecasting has been done in the presence of uncertainties arising from wind and photovoltaic (PV) generation and electrical load consumption. To improve the net-load forecasting precision, the wavelet transform has been applied to the inputs of the proposed model. The net-load forecast in different scenarios is conducted on an open dataset from 37 central European countries, from the perspective of different types of forecasting strategies and changes in the neural network architecture. The simulation results significantly confirm the accuracy of the proposed forecasting model by different indices.

ACS Style

Mohammadali Alipour; Jamshid Aghaei; Mohammadali Norouzi; Taher Niknam; Sattar Hashemi; Matti Lehtonen. A novel electrical net-load forecasting model based on deep neural networks and wavelet transform integration. Energy 2020, 205, 118106 .

AMA Style

Mohammadali Alipour, Jamshid Aghaei, Mohammadali Norouzi, Taher Niknam, Sattar Hashemi, Matti Lehtonen. A novel electrical net-load forecasting model based on deep neural networks and wavelet transform integration. Energy. 2020; 205 ():118106.

Chicago/Turabian Style

Mohammadali Alipour; Jamshid Aghaei; Mohammadali Norouzi; Taher Niknam; Sattar Hashemi; Matti Lehtonen. 2020. "A novel electrical net-load forecasting model based on deep neural networks and wavelet transform integration." Energy 205, no. : 118106.

Journal article
Published: 07 October 2019 in IEEE Systems Journal
Reads 0
Downloads 0

In security-constrained unit commitment (SCUC) problems, one approach to decrease operation costs is using a transmission switching (TS) tool. In SCUC problems with TS, one of the main challenges is that there is no limitation for the number of switching of circuit breakers (CB) in the system. In this article, the reliability of CB is merged into the SCUC problem with the TS and is considered as a limiting factor for switching. With a more reliable CB, the overall reliability of the system will be increased. So, it can be concluded that the reliability of a CB affects the amount of load shedding. Reliability of a CB is a nonlinear equation based on the number of switching in a period. An approach is presented to linearize the switch reliability equation. In this article, the power flow model uses an improved linear ac optimal power flow and a dynamic thermal line rating (DTLR) model, which considers the weather conditions. Other than CB reliability, DTLR in SCUC problems affects the number of switching and, as a result, operation costs will be significantly decreased. The proposed model is empowered by Bender's decomposition and is tested on 6-bus and 118-bus IEEE test systems.

ACS Style

Morteza Sheikh; Jamshid Aghaei; Armin Letafat; Mohammad Rajabdorri; Taher Niknam; Miadreza Shafie-Khah; Joao P. S. Catalao. Security-Constrained Unit Commitment Problem With Transmission Switching Reliability and Dynamic Thermal Line Rating. IEEE Systems Journal 2019, 13, 3933 -3943.

AMA Style

Morteza Sheikh, Jamshid Aghaei, Armin Letafat, Mohammad Rajabdorri, Taher Niknam, Miadreza Shafie-Khah, Joao P. S. Catalao. Security-Constrained Unit Commitment Problem With Transmission Switching Reliability and Dynamic Thermal Line Rating. IEEE Systems Journal. 2019; 13 (4):3933-3943.

Chicago/Turabian Style

Morteza Sheikh; Jamshid Aghaei; Armin Letafat; Mohammad Rajabdorri; Taher Niknam; Miadreza Shafie-Khah; Joao P. S. Catalao. 2019. "Security-Constrained Unit Commitment Problem With Transmission Switching Reliability and Dynamic Thermal Line Rating." IEEE Systems Journal 13, no. 4: 3933-3943.

Research paper
Published: 21 September 2019 in Iranian Journal of Science and Technology, Transactions of Electrical Engineering
Reads 0
Downloads 0

This paper develops a new management framework for optimal operation of the hybrid AC–DC microgrids incorporating renewable energy sources and storages. Hybrid microgrid consists of two parts of AC and DC to supply the AC and DC loads, respectively. The power exchange capability of hybrid microgrids between the AC and DC parts makes it possible to reduce the total microgrid costs, effectively. To make it a realistic analysis, a stochastic method based on cloud theory is proposed to model the uncertainty effects of wind turbine power, photovoltaic power, load demand and market price sufficiently. The proposed framework makes use of a new optimization algorithm based on flower pollination mechanism to minimize the total network costs through the optimal dispatch of the units. Also, a three-stage modification method is proposed to improve the population diversity and avoid the premature convergence. The performance of the proposed method is examined on the IEEE test system through two different operation scenarios.

ACS Style

Mohamadreza Askari; Taher Niknam. An Effective Stochastic Approach for Optimal Energy Resource Management in Hybrid AC–DC Microgrids. Iranian Journal of Science and Technology, Transactions of Electrical Engineering 2019, 44, 835 -848.

AMA Style

Mohamadreza Askari, Taher Niknam. An Effective Stochastic Approach for Optimal Energy Resource Management in Hybrid AC–DC Microgrids. Iranian Journal of Science and Technology, Transactions of Electrical Engineering. 2019; 44 (2):835-848.

Chicago/Turabian Style

Mohamadreza Askari; Taher Niknam. 2019. "An Effective Stochastic Approach for Optimal Energy Resource Management in Hybrid AC–DC Microgrids." Iranian Journal of Science and Technology, Transactions of Electrical Engineering 44, no. 2: 835-848.