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Hamed Nafisi
Department of Electrical Engineering, Amirkabir University of Technology, Iran

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Journal article
Published: 01 May 2021 in Applied Sciences
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In this study, a microgrid scheme encompassing photovoltaic panels, an energy storage system, and a diesel generator as a backup supply source is designed, and the optimal placement for installation is suggested. The main purpose of this microgrid is to meet the intrinsic demand without being supplied by the upstream network. Thus, the main objective in the design of the microgrid is to minimize the operational cost of microgrid’s sources subject to satisfy the loads by these sources. Therefore, the considered problem in this study is to determine the optimal size and placement for generation sources simultaneously for a microgrid with the objectives of minimization of cost of generation resources along with mitigation of power losses. In order to deal with uncertainties of PV generation and load forecasting, the lognormal distribution model and Gaussian process quantile regression (GPQR) approaches are employed. In order to solve the optimization problem, the lightning attachment procedure optimization (LAPO) and artificial bee colony (ABC) methods are employed, and the results are compared. The results imply the more effectiveness and priority of the LAPO approach in comparison with ABC in convergence speed and the accuracy of solution-finding.

ACS Style

Amin Nematollahi; Hossein Shahinzadeh; Hamed Nafisi; Behrooz Vahidi; Yassine Amirat; Mohamed Benbouzid. Sizing and Sitting of DERs in Active Distribution Networks Incorporating Load Prevailing Uncertainties Using Probabilistic Approaches. Applied Sciences 2021, 11, 4156 .

AMA Style

Amin Nematollahi, Hossein Shahinzadeh, Hamed Nafisi, Behrooz Vahidi, Yassine Amirat, Mohamed Benbouzid. Sizing and Sitting of DERs in Active Distribution Networks Incorporating Load Prevailing Uncertainties Using Probabilistic Approaches. Applied Sciences. 2021; 11 (9):4156.

Chicago/Turabian Style

Amin Nematollahi; Hossein Shahinzadeh; Hamed Nafisi; Behrooz Vahidi; Yassine Amirat; Mohamed Benbouzid. 2021. "Sizing and Sitting of DERs in Active Distribution Networks Incorporating Load Prevailing Uncertainties Using Probabilistic Approaches." Applied Sciences 11, no. 9: 4156.

Journal article
Published: 30 April 2021 in Sustainable Cities and Society
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The optimal performance of the smart home energy management system (SHEMS) in coordinating and integrating the equipment in the house plays a significant role in increasing the efficiency and economic benefits of the smart home. This paper proposes a two-level optimization algorithm for the energy management of residential appliances within a smart home, including interruptible, uninterruptible, thermostatically controlled, and non-schedulable loads, as well as the charging/discharging strategies of electric vehicles (EVs) and energy storage systems (ESSs) in the presence of distributed energy resources (DERs). In the first level of optimization, to minimize the cost of electricity, the operating time of smart home components is determined by SHEMS, and active power is exchanged between equipment. At this level, the impact of demand response (DR) constraints on the cost and load factor (LF) of the smart home have also been investigated. In the second level, considering the optimal cost obtained in the first level, in addition to the active power, the reactive power required by loads is also provided by using the additional capacity of EV and ESS inverters and improves the power factor (PF) of the house at the connection point to the grid. Day-ahead electricity costs are calculated depending on different pricing signals (TOU, RTP) with the power exchange capacity (buying/ selling) with the grid. The effectiveness of the proposed strategy is examined on a typical smart home over a 24-h. By reviewing the numerical results obtained for the cost and the LF in different scenarios, and observing the increase of the PF of home from 0.65 to 0.94 and also examining the performance of the equipment during the planning time, the efficiency of the model is proved.

ACS Style

Samaneh Zamanloo; Hossein Askarian Abyaneh; Hamed Nafisi; Mohsen Azizi. Optimal two-level active and reactive energy management of residential appliances in smart homes. Sustainable Cities and Society 2021, 71, 102972 .

AMA Style

Samaneh Zamanloo, Hossein Askarian Abyaneh, Hamed Nafisi, Mohsen Azizi. Optimal two-level active and reactive energy management of residential appliances in smart homes. Sustainable Cities and Society. 2021; 71 ():102972.

Chicago/Turabian Style

Samaneh Zamanloo; Hossein Askarian Abyaneh; Hamed Nafisi; Mohsen Azizi. 2021. "Optimal two-level active and reactive energy management of residential appliances in smart homes." Sustainable Cities and Society 71, no. : 102972.

Journal article
Published: 06 April 2021 in IEEE Systems Journal
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The inappropriate mechanism designs for demand response (DR) in the community of microgirds (CoMGs) may cause massive problems, such as increase of consumers’ costs, rebound peaks, and thereby lack of optimality in the network. In this article, a bilevel energy management system (EMS) is proposed to tackle the challenges associated with DR programs for CoMGs. The current structure successfully models users’ behavior and dissatisfaction in the first level of optimization to develop best DR program for each of them. Moreover, in the second level, power system constraints are taken into account to prevent voltage and current deviation from their statutory limits. Each user is assumed to be part of a microgrid (MG) whose operation is controlled and optimized through its local EMS in the first level. On the other hand, the overall operation of all MGs is delegated to the whole system operator, which acts as the central EMS (CEMS) in the second level. An iterative transactive energy management method is proposed by CEMS to fairly limit the excess power of the MGs one day ahead for voltage and current regulation. The obtained results indicate the effectiveness of the proposed structure in preventing discomfort issues, voltage deviation and creation of the rebound peaks in the system.

ACS Style

Nastaran Gholizadeh; Mehrdad Abedi; Hamed Nafisi; Mousa Marzband; Abdolah Loni; Ghanim A. Putrus. Fair-Optimal Bilevel Transactive Energy Management for Community of Microgrids. IEEE Systems Journal 2021, PP, 1 -11.

AMA Style

Nastaran Gholizadeh, Mehrdad Abedi, Hamed Nafisi, Mousa Marzband, Abdolah Loni, Ghanim A. Putrus. Fair-Optimal Bilevel Transactive Energy Management for Community of Microgrids. IEEE Systems Journal. 2021; PP (99):1-11.

Chicago/Turabian Style

Nastaran Gholizadeh; Mehrdad Abedi; Hamed Nafisi; Mousa Marzband; Abdolah Loni; Ghanim A. Putrus. 2021. "Fair-Optimal Bilevel Transactive Energy Management for Community of Microgrids." IEEE Systems Journal PP, no. 99: 1-11.

Chapter
Published: 06 April 2021 in Numerical Methods for Energy Applications
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Multi-carrier energy networks (MCENs) can participate in different markets and optimize the economical operation of MCEN by optimizing the revenues and costs in these markets. One of the most important markets is the electricity market, where the MCEN purchases or sells electricity to provide the consumers’ demand. Also, there are some ancillary markets (e.g., power balancing services market), capacity market, and local balancing services, which apply extra revenues for MCEN and help the power system operation technically. Moreover, MCEN must consider the use of system charges, tax, and environmental and social obligations in the power management problem. The consumed gas of MCEN consumers is purchased from the gas market. There are imbalance charges for purchased gas on over/under-delivered gas compared to the relevant contracts. In addition to the mentioned markets, there are other markets and incentives such as CO2 emissions market, energy efficiency market, and low-carbon incentives, which can be considered to improve the MCEN operation technically and environmentally in addition to optimized revenue. More storage capacity and availability of energy prices/incentives for MCEN consumers with communication infrastructure are two reasons of the MCEN higher efficiency in these markets compared to traditional networks, which are described in more detail in this chapter.

ACS Style

Seyed Mahdi Kazemi-Razi; Hamed Nafisi. Energy Markets of Multi-carrier Energy Networks. Numerical Methods for Energy Applications 2021, 87 -119.

AMA Style

Seyed Mahdi Kazemi-Razi, Hamed Nafisi. Energy Markets of Multi-carrier Energy Networks. Numerical Methods for Energy Applications. 2021; ():87-119.

Chicago/Turabian Style

Seyed Mahdi Kazemi-Razi; Hamed Nafisi. 2021. "Energy Markets of Multi-carrier Energy Networks." Numerical Methods for Energy Applications , no. : 87-119.

Journal article
Published: 22 February 2021 in Energies
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In this paper, the virtual synchronous generator (VSG) concept is utilized in the controller of the grid-connected dual two-level voltage source inverter (DTL VSI). First, the topology of the VSG and the DTL VSI are presented. Then, the state-space equations of the DTL VSI and the grid-connected two-level voltage source inverter (TL VSI), regarding the presence of the phase-locked loop (PLL) and the VSG, are given. Next, the small-signal modeling of the DTL VSI and the TL VSI is realized. Eventually, the stability enhancement in the DTL VSI compared with the TL VSI is demonstrated. In the TL VSI, large values of virtual inertia could result in oscillations in the power system. However, the ability of the DTL VSI in damping oscillations is deduced. Furthermore, in the presence of nonlinear loads, the potentiality of the DTL VSI in reducing grid current Total Harmonic Distortion (THD) is evaluated. Finally, by using a proper reference current command signal, the abilities of the DTL VSI and the TL VSI in supplying nonlinear loads and providing virtual inertia are assessed simultaneously. The simulation results prove the advantages of the DTL VSI compared with the TL VSI in virtual inertia emulation and oscillation damping, which are realized by small-signal analysis.

ACS Style

Mohammad Dashtaki; Hamed Nafisi; Amir Khorsandi; Mojgan Hojabri; Edris Pouresmaeil. Dual Two-Level Voltage Source Inverter Virtual Inertia Emulation: A Comparative Study. Energies 2021, 14, 1160 .

AMA Style

Mohammad Dashtaki, Hamed Nafisi, Amir Khorsandi, Mojgan Hojabri, Edris Pouresmaeil. Dual Two-Level Voltage Source Inverter Virtual Inertia Emulation: A Comparative Study. Energies. 2021; 14 (4):1160.

Chicago/Turabian Style

Mohammad Dashtaki; Hamed Nafisi; Amir Khorsandi; Mojgan Hojabri; Edris Pouresmaeil. 2021. "Dual Two-Level Voltage Source Inverter Virtual Inertia Emulation: A Comparative Study." Energies 14, no. 4: 1160.

Journal article
Published: 31 August 2020 in IEEE Transactions on Transportation Electrification
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The global transport sector has a significant share of greenhouse gas emissions. Thus, plug-in electric vehicles (PEVs) can play a vital role in the reduction of pollution. However, high penetration of PEVs can pose severe challenges to power systems, such as an increase in energy losses and a decrease in the transformers expected life. In this paper, a new day-ahead co-optimization algorithm is proposed to reduce the unwanted effects of PEVs on the power system. The aim of the proposed algorithm is minimizing the cost of energy losses as well as transformer operating cost by the management of active and reactive powers simultaneously. Moreover, the effect of harmonics, which are produced by the charger of PEVs, are considered in the proposed algorithm. Also, the transformer operating cost is obtained from a method that contains the purchase price, loading, and losses cost of the transformer. Another advantage of the proposed algorithm is that it can improve power quality parameters, e.g., voltage and power factor of the distribution network by managing the reactive power. Afterward, the proposed algorithm is applied to a real distribution network. The results show that the proposed algorithm optimizes the daily operating cost of the distribution network efficiently. Finally, the robustness of the proposed algorithm to the number and distribution of PEVs is verified by simulation results.

ACS Style

Seyed Soroush Karimi Madahi; Hamed Nafisi; Hossein Askarian Abyaneh; Mousa Marzband. Co-Optimization of Energy Losses and Transformer Operating Costs Based on Smart Charging Algorithm for Plug-In Electric Vehicle Parking Lots. IEEE Transactions on Transportation Electrification 2020, 7, 527 -541.

AMA Style

Seyed Soroush Karimi Madahi, Hamed Nafisi, Hossein Askarian Abyaneh, Mousa Marzband. Co-Optimization of Energy Losses and Transformer Operating Costs Based on Smart Charging Algorithm for Plug-In Electric Vehicle Parking Lots. IEEE Transactions on Transportation Electrification. 2020; 7 (2):527-541.

Chicago/Turabian Style

Seyed Soroush Karimi Madahi; Hamed Nafisi; Hossein Askarian Abyaneh; Mousa Marzband. 2020. "Co-Optimization of Energy Losses and Transformer Operating Costs Based on Smart Charging Algorithm for Plug-In Electric Vehicle Parking Lots." IEEE Transactions on Transportation Electrification 7, no. 2: 527-541.

Journal article
Published: 10 August 2020 in IEEE Journal of Emerging and Selected Topics in Power Electronics
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This paper proposes a novel mathematical approach to deal with cyberattacks impacting on modernized microgrid’s tertiary control. Modernized microgrids use many entities based on voltage-source converters to form the fully integrated power and energy system. Having such a power and energy system for modernized microgrids necessitates engineers considering cybersecurity and addressing its effects from the beginning of designing and building systems. Using innovative mathematical tools based on information gap decision theory (also known as IGDT), this paper incorporates the data integrity attacks into tertiary controls of the fully integrated power and energy system of modernized microgrids. The proposed methodology [named cyberattack-tolerant tertiary control (CT2C) herein] is able to effectively find the most susceptible points of cyberattack in modernized microgrids when both severe and negligible uncertainties caused by cyberattacks take place. They are able to include both severe data integrity attacks and negligible ones (or undetectable attacks). Here, the most vulnerable points of cyberattack cause the most impactful changes in the tertiary control’s principal objective, which is minimizing the operating cost of the whole modernized microgrids. In this regard, this paper describes a hypothesis, and in supporting that, comparative simulation results are given. The outcomes generated by the General Algebraic Modeling System (commonly known as GAMS) environment are able to provide researchers and engineers with appropriate maps for sensitive points of cyberattack. Using the proposed CT2C, investments in modernized microgrids cybersecurity will be more accurate and, more importantly, mathematically optimized. Finally, potential ways to implement the proposed methodology are elaborated.

ACS Style

Masoud Davari; Hamed Nafisi; Mohamad-Amin Nasr; Frede Blaabjerg. A Novel IGDT-Based Method to Find the Most Susceptible Points of Cyberattack Impacting Operating Costs of VSC-Based Microgrids. IEEE Journal of Emerging and Selected Topics in Power Electronics 2020, 9, 3695 -3714.

AMA Style

Masoud Davari, Hamed Nafisi, Mohamad-Amin Nasr, Frede Blaabjerg. A Novel IGDT-Based Method to Find the Most Susceptible Points of Cyberattack Impacting Operating Costs of VSC-Based Microgrids. IEEE Journal of Emerging and Selected Topics in Power Electronics. 2020; 9 (3):3695-3714.

Chicago/Turabian Style

Masoud Davari; Hamed Nafisi; Mohamad-Amin Nasr; Frede Blaabjerg. 2020. "A Novel IGDT-Based Method to Find the Most Susceptible Points of Cyberattack Impacting Operating Costs of VSC-Based Microgrids." IEEE Journal of Emerging and Selected Topics in Power Electronics 9, no. 3: 3695-3714.

Journal article
Published: 18 July 2020 in Electric Power Systems Research
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Vulnerability of power electronic converters in DC microgrids in case of fault occurrence in DC cables necessitates using a fast fault detection and isolation scheme. In this paper, a modified, fast and selective protection scheme has been presented, which provides the required tripping of low voltage DC (LVDC) microgrids. This protection scheme has been developed based on the natural characteristics of the fault current, in which the first and second derivatives of the fault current have been employed to define thresholds for discriminating between faulted and non-faulted situations. To enhance fault detection capability of the protection scheme, definition of thresholds have been improved by introducing compensation gains, which makes the thresholds adaptive to amplitude of line current. Furthermore, in order to extend time validity of the thresholds which are calculated by approximated equations, artificial line inductance (ALI) technique has been proposed. Since no communication link is involved and all measurements are local, any types of fault can be detected without time delay. As a result, fault detection is achieved within 250 μs. To show the superiority of the proposed protection scheme, different case studies are investigated and results are compared with the earlier study.

ACS Style

Morteza Shamsoddini; Behrooz Vahidi; Ramin Razani; Hamed Nafisi. Extending protection selectivity in low voltage DC microgrids using compensation gain and artificial line inductance. Electric Power Systems Research 2020, 188, 106530 .

AMA Style

Morteza Shamsoddini, Behrooz Vahidi, Ramin Razani, Hamed Nafisi. Extending protection selectivity in low voltage DC microgrids using compensation gain and artificial line inductance. Electric Power Systems Research. 2020; 188 ():106530.

Chicago/Turabian Style

Morteza Shamsoddini; Behrooz Vahidi; Ramin Razani; Hamed Nafisi. 2020. "Extending protection selectivity in low voltage DC microgrids using compensation gain and artificial line inductance." Electric Power Systems Research 188, no. : 106530.

Conference paper
Published: 01 February 2020 in 2020 11th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC)
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In this paper, the implementation of virtual inertia in a dual two-level voltage source inverter (DTL VSI) configuration is investigated. The derivative control method is employed to provide virtual inertia. The virtual synchronous generator (VSG) topology is presented, and its elements are introduced. According to the frequency changes, the active power reference is generated. Moreover, the control structure is designed and presented to control the DTL VSI properly. By means of the derivative control method, the DTL VSI participates in the frequency regulation, and the frequency oscillations during contingencies are confined. The results show that the controller follows its reference in all cases. The potentiality of the proposed controller is confirmed through MATLAB simulations. Compared to the conventional DTL VSI, the rate of change of frequency (ROCOF) and frequency nadir are reduced during disturbances.

ACS Style

Mohammad Ali Dashtaki; Hamed Nafisi; Edris Pouresmaeil; Amir Khorsandi. Virtual Inertia Implementation in Dual Two-Level Voltage Source Inverters. 2020 11th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC) 2020, 1 -6.

AMA Style

Mohammad Ali Dashtaki, Hamed Nafisi, Edris Pouresmaeil, Amir Khorsandi. Virtual Inertia Implementation in Dual Two-Level Voltage Source Inverters. 2020 11th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC). 2020; ():1-6.

Chicago/Turabian Style

Mohammad Ali Dashtaki; Hamed Nafisi; Edris Pouresmaeil; Amir Khorsandi. 2020. "Virtual Inertia Implementation in Dual Two-Level Voltage Source Inverters." 2020 11th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC) , no. : 1-6.

Conference paper
Published: 01 December 2019 in 2019 International Power System Conference (PSC)
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The characteristics of fuel cell (FC) power generating system are basically different from the conventional synchronous generator. Their dynamic behavior is subjected by the specification of power conditioner and they do not have inertia. Therefore, it is important to investigate the effect of using solid oxide fuel cell (SOFC) generation on the power system dynamic performance. This paper surveys the impact of SOFC generation on the power system small signal stability in the presence of conventional generation units along with power system stabilizers (PSSs). Eigenvalue analysis and particle swarm optimization (PSO) algorithm are applied to tune the PSS parameters of conventional generator, power conditioner parameters of FC and power output of SOFC simultaneously in order to increase the small signal stability of power system.

ACS Style

Mohammadreza Saidabadi; Mehrdad Abedi; Hamed Nafisi; Amir Khorsandi. Small signal stability improvement via coordination of PSS's and SOFC power conditioner by PSO algorithm. 2019 International Power System Conference (PSC) 2019, 557 -564.

AMA Style

Mohammadreza Saidabadi, Mehrdad Abedi, Hamed Nafisi, Amir Khorsandi. Small signal stability improvement via coordination of PSS's and SOFC power conditioner by PSO algorithm. 2019 International Power System Conference (PSC). 2019; ():557-564.

Chicago/Turabian Style

Mohammadreza Saidabadi; Mehrdad Abedi; Hamed Nafisi; Amir Khorsandi. 2019. "Small signal stability improvement via coordination of PSS's and SOFC power conditioner by PSO algorithm." 2019 International Power System Conference (PSC) , no. : 557-564.

Conference paper
Published: 01 December 2019 in 2020 14th International Conference on Protection and Automation of Power Systems (IPAPS)
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Big data analytics is a virtually new term in power system terminology. This concept delves into the way a massive volume of data is acquired, processed, analyzed to extract insight from available data. In particular, big data analytics alludes to applications of artificial intelligence, machine learning techniques, data mining techniques, time-series forecasting methods. Decision-makers in power systems have been long plagued by incapability and weakness of classical methods in dealing with large-scale real practical cases due to the existence of thousands or millions of variables, being time-consuming, the requirement of a high computation burden, divergence of results, unjustifiable errors, and poor accuracy of the model. Big data analytics is an ongoing topic, which pinpoints how to extract insights from these large data sets. The extant article has enumerated the applications of big data analytics in future power systems through several layers from grid-scale to local-scale. Big data analytics has many applications in the areas of smart grid implementation, electricity markets, execution of collaborative operation schemes, enhancement of microgrid operation autonomy, management of electric vehicle operations in smart grids, active distribution network control, district hub system management, multi-agent energy systems, electricity theft detection, stability and security assessment by PMUs, and better exploitation of renewable energy sources. The employment of big data analytics entails some prerequisites, such as the proliferation of IoT-enabled devices, easily-accessible cloud space, blockchain, etc. This paper has comprehensively conducted an extensive review of the applications of big data analytics along with the prevailing challenges and solutions.

ACS Style

Jalal Moradi; Hossein Shahinzadeh; Hamed Nafisi; Mousa Marzband; Gevork B. Gharehpetian. Attributes of Big Data Analytics for Data-Driven Decision Making in Cyber-Physical Power Systems. 2020 14th International Conference on Protection and Automation of Power Systems (IPAPS) 2019, 83 -92.

AMA Style

Jalal Moradi, Hossein Shahinzadeh, Hamed Nafisi, Mousa Marzband, Gevork B. Gharehpetian. Attributes of Big Data Analytics for Data-Driven Decision Making in Cyber-Physical Power Systems. 2020 14th International Conference on Protection and Automation of Power Systems (IPAPS). 2019; ():83-92.

Chicago/Turabian Style

Jalal Moradi; Hossein Shahinzadeh; Hamed Nafisi; Mousa Marzband; Gevork B. Gharehpetian. 2019. "Attributes of Big Data Analytics for Data-Driven Decision Making in Cyber-Physical Power Systems." 2020 14th International Conference on Protection and Automation of Power Systems (IPAPS) , no. : 83-92.

Conference paper
Published: 01 December 2019 in 2019 Smart Grid Conference (SGC)
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Route mapping is a useful method to save time for drivers, but for electric vehicles (EVs), electrical energy saving should also be considered. In this paper, a novel approach to the route mapping of battery electric vehicles (BEVs) is proposed. The objective of this approach is to simultaneously optimize the total electrical energy consumption and travel time of the BEVs driving on a path. Four factors (vehicle speed, road grade, ambient temperature, and wind speed) are considered for the electrical energy management of BEVs. An artificial neural network (ANN) is used to correct the real-time speed data. Evaluation of the proposed approach is performed on a large part of Kowloon city and is implemented by MATLAB. It was found that using this approach, reduces the total electrical energy consumption and travel time of BEVs, as well as improving their lifespan.

ACS Style

Arian Shahkamrani; Hossein Askarian-Abyaneh; Hamed Nafisi; Amir Khorsandi; Mousa Marzband. An Innovative Method For Route Mapping of Battery Electric Vehicles. 2019 Smart Grid Conference (SGC) 2019, 1 -5.

AMA Style

Arian Shahkamrani, Hossein Askarian-Abyaneh, Hamed Nafisi, Amir Khorsandi, Mousa Marzband. An Innovative Method For Route Mapping of Battery Electric Vehicles. 2019 Smart Grid Conference (SGC). 2019; ():1-5.

Chicago/Turabian Style

Arian Shahkamrani; Hossein Askarian-Abyaneh; Hamed Nafisi; Amir Khorsandi; Mousa Marzband. 2019. "An Innovative Method For Route Mapping of Battery Electric Vehicles." 2019 Smart Grid Conference (SGC) , no. : 1-5.

Conference paper
Published: 01 December 2019 in 2020 14th International Conference on Protection and Automation of Power Systems (IPAPS)
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Due to the growing use of photovoltaic (PV) systems in distribution networks and sensitivity of these systems to high current caused by faults, it is crucial to quickly detect the occurrence of a fault in the network and protect the PV system. This paper proposes a method that uses the direct-axis current component (id) and its rate of change, which is one of the control parameters of the PV system, to detect faults in less than a half cycle. For this purpose, the PV system is precisely modeled in PSCAD/EMTDC software. To verify the performance of the proposed method, various simulations are performed by considering load variations, irradiation fluctuations and various types of faults. The results show the effectiveness of the method both in distinguishing load variations and irradiation fluctuations from faults as well as fault detection.

ACS Style

Abdolhamid Farshadi; Hamed Nafisi; Hossein Askarian-Abyaneh. Fault Detection Method for DG Disconnection in Inverter-Interfaced Microgrids with Photovoltaic System. 2020 14th International Conference on Protection and Automation of Power Systems (IPAPS) 2019, 93 -98.

AMA Style

Abdolhamid Farshadi, Hamed Nafisi, Hossein Askarian-Abyaneh. Fault Detection Method for DG Disconnection in Inverter-Interfaced Microgrids with Photovoltaic System. 2020 14th International Conference on Protection and Automation of Power Systems (IPAPS). 2019; ():93-98.

Chicago/Turabian Style

Abdolhamid Farshadi; Hamed Nafisi; Hossein Askarian-Abyaneh. 2019. "Fault Detection Method for DG Disconnection in Inverter-Interfaced Microgrids with Photovoltaic System." 2020 14th International Conference on Protection and Automation of Power Systems (IPAPS) , no. : 93-98.

Conference paper
Published: 01 December 2019 in 2019 Smart Grid Conference (SGC)
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Greenhouse gas emissions and fossil fuel shortages have led to an increasing trend in the utilization of renewable resources. Due to the variable nature of these sources, new challenges have arisen in the daily operation of power systems. To cover these challenges, it is essential to increase the flexibility of power systems. Electrical vehicle parking lots (EVPLs) and demand response (DR) are introduced as two important solutions to provide a more flexible power system. To this end, this paper proposes a transmission constrained unit commitment based on AC power flow model (AC-TCUC) to minimize the daily cost of the integrated power system with EVPL, incentive-based DR and wind power. Additionally, an information gap decision theory (IGDT)-based robust approach is applied to handle the uncertainty of wind power production as a bi-level optimization problem with no need for probability distribution function (PDF). Numerical results illustrate the impact of EVPL and DR technologies on system operation cost reduction and the uncertainty of wind power.

ACS Style

Masoumeh Ahrabi; Mehrdad Abedi; Hamed Nafisi; Mohammad Amin Mirzaei; Behnam Mohammadi-Ivatloo; Mousa Marzband. Robust Transmission-Constrained AC unit Commitment in Presence of Smart Technologies. 2019 Smart Grid Conference (SGC) 2019, 1 -6.

AMA Style

Masoumeh Ahrabi, Mehrdad Abedi, Hamed Nafisi, Mohammad Amin Mirzaei, Behnam Mohammadi-Ivatloo, Mousa Marzband. Robust Transmission-Constrained AC unit Commitment in Presence of Smart Technologies. 2019 Smart Grid Conference (SGC). 2019; ():1-6.

Chicago/Turabian Style

Masoumeh Ahrabi; Mehrdad Abedi; Hamed Nafisi; Mohammad Amin Mirzaei; Behnam Mohammadi-Ivatloo; Mousa Marzband. 2019. "Robust Transmission-Constrained AC unit Commitment in Presence of Smart Technologies." 2019 Smart Grid Conference (SGC) , no. : 1-6.

Conference paper
Published: 01 December 2019 in 2020 14th International Conference on Protection and Automation of Power Systems (IPAPS)
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Prospective short circuit level for MV switchgears of an industrial network is supposed to increase in time, due to inevitable expansion of utility network, probable installation of local generators and increasing the production capacities resulting in more motor contribution. If this short circuit current exceeds the level for which the switchgear was designed, the plant owner shall take some measures to prevent from possible damage. To solve the problem without replacing existing equipment, current limiting protectors have been utilized. These devices could reduce prospective short circuit current coming from upstream and could be an economical solution to this problem. Meanwhile, as these devices are triggered by instantaneous current, events especially relating to sudden increase in current may cause them to operate. This ‘False Tripping’ is troublesome since these devices usually install on main incoming feeders of the network. This paper investigates the issue for a project aiming the reduction of short-circuit level from motor dynamics perspective including contribution to upstream fault and response to voltage dip using PSCAD/EMTDC software.

ACS Style

Behzad Keyvani; Hassan Bakhtiari; Hamed Nafisi. Investigation on Impact of Motor Dynamics on Operation of Current Limiting Protectors. 2020 14th International Conference on Protection and Automation of Power Systems (IPAPS) 2019, 105 -109.

AMA Style

Behzad Keyvani, Hassan Bakhtiari, Hamed Nafisi. Investigation on Impact of Motor Dynamics on Operation of Current Limiting Protectors. 2020 14th International Conference on Protection and Automation of Power Systems (IPAPS). 2019; ():105-109.

Chicago/Turabian Style

Behzad Keyvani; Hassan Bakhtiari; Hamed Nafisi. 2019. "Investigation on Impact of Motor Dynamics on Operation of Current Limiting Protectors." 2020 14th International Conference on Protection and Automation of Power Systems (IPAPS) , no. : 105-109.

Journal article
Published: 20 November 2019 in IEEE Transactions on Industrial Informatics
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This paper introduces a novel mathematical approach to cope with the uncertainty of Renewable Energy Sources based on Information Gap Decision Theory (IGDT) for Energy Management System of isolated microgrids. The IGDT is a non-probabilistic method handling the uncertainties and can be utilized to evaluate various levels of risk without the availability of statistical data, such as Probability Density Functions of uncertain parameters. In this paper, Weighted Information Gap Decision Theory (W-IGDT) is proposed to obtain risk-based time-varying robustness bands instead of time-independent ones achieved by the conventional IGDT approach for Wind Turbines generation as a source of severe uncertainty in isolated micogrids. The proposed approach customized for multiperiod models is integrated with an EMS based on a coordinated Unit Commitment-Optimal Power Flow (UC-OPF) framework, which simultaneously considers the UC and OPF equations.A modified version of a CIGRE microgrid benchmark is used to illustrate the performance of the proposed technique

ACS Style

Mohamad-Amin Nasr; Ehsan Nasr-Azadani; Hamed Nafisi; Seyed Hossein Hosseinian; Pierluigi Siano. Assessing the Effectiveness of Weighted Information Gap Decision Theory Integrated With Energy Management Systems for Isolated Microgrids. IEEE Transactions on Industrial Informatics 2019, 16, 5286 -5299.

AMA Style

Mohamad-Amin Nasr, Ehsan Nasr-Azadani, Hamed Nafisi, Seyed Hossein Hosseinian, Pierluigi Siano. Assessing the Effectiveness of Weighted Information Gap Decision Theory Integrated With Energy Management Systems for Isolated Microgrids. IEEE Transactions on Industrial Informatics. 2019; 16 (8):5286-5299.

Chicago/Turabian Style

Mohamad-Amin Nasr; Ehsan Nasr-Azadani; Hamed Nafisi; Seyed Hossein Hosseinian; Pierluigi Siano. 2019. "Assessing the Effectiveness of Weighted Information Gap Decision Theory Integrated With Energy Management Systems for Isolated Microgrids." IEEE Transactions on Industrial Informatics 16, no. 8: 5286-5299.

Journal article
Published: 14 November 2019 in IEEE Journal of Emerging and Selected Topics in Power Electronics
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ACS Style

Amir Aghazadeh; Masoud Davari; Hamed Nafisi; Frede Blaabjerg. Grid Integration of a Dual Two-Level Voltage-Source Inverter Considering Grid Impedance and Phase-Locked Loop. IEEE Journal of Emerging and Selected Topics in Power Electronics 2019, 9, 401 -422.

AMA Style

Amir Aghazadeh, Masoud Davari, Hamed Nafisi, Frede Blaabjerg. Grid Integration of a Dual Two-Level Voltage-Source Inverter Considering Grid Impedance and Phase-Locked Loop. IEEE Journal of Emerging and Selected Topics in Power Electronics. 2019; 9 (1):401-422.

Chicago/Turabian Style

Amir Aghazadeh; Masoud Davari; Hamed Nafisi; Frede Blaabjerg. 2019. "Grid Integration of a Dual Two-Level Voltage-Source Inverter Considering Grid Impedance and Phase-Locked Loop." IEEE Journal of Emerging and Selected Topics in Power Electronics 9, no. 1: 401-422.

Journal article
Published: 19 September 2019 in Energy Conversion and Management
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Introduction of the power to gas and combined heat and power technologies, has led to remarkable interdependency between electrical and gas systems. By taking advantage of this interdependency, cleaner and more efficient energy management systems could be implemented. This paper attempts to establish an innovative energy management framework which takes advantage of this interdependency and devices like power to gas and combined heat and power to simultaneously smoothen electricity and natural gas demand profiles for a year ahead. The method outperforms this task using the electricity profile valleys to reduce peak natural gas consumption and using natural gas profile valleys to shave electricity consumption peak. In this way, the stress on both networks for supplying demand in peak periods is released. The proposed method is able to achieve demand smoothness and cost reduction objectives considering penalty factors for demand variance. For this purpose, multiple integrated energy hubs are used to simulate the energy consumption of an area. The designed mixed integer linear model is handled by General Algebraic Modeling Software and CPLEX solver. The results demonstrate that by applying the proposed method, the system is able to save 16.92% in the energy cost and decrease electricity and natural gas demand standard deviations by 8.34% and 66.64%, respectively.

ACS Style

N. Gholizadeh; Gevork B. Gharehpetian; M. Abedi; Hamed Nafisi; M. Marzband. An innovative energy management framework for cooperative operation management of electricity and natural gas demands. Energy Conversion and Management 2019, 200, 112069 .

AMA Style

N. Gholizadeh, Gevork B. Gharehpetian, M. Abedi, Hamed Nafisi, M. Marzband. An innovative energy management framework for cooperative operation management of electricity and natural gas demands. Energy Conversion and Management. 2019; 200 ():112069.

Chicago/Turabian Style

N. Gholizadeh; Gevork B. Gharehpetian; M. Abedi; Hamed Nafisi; M. Marzband. 2019. "An innovative energy management framework for cooperative operation management of electricity and natural gas demands." Energy Conversion and Management 200, no. : 112069.

Conference paper
Published: 01 June 2019 in 2019 Iranian Conference on Renewable Energy & Distributed Generation (ICREDG)
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In recent years, proposing the novel solutions to boost the efficiency of power systems and optimal management of energy consumption has become increasingly significant. Demand response (DR) program as an essential part of Demand-side-management (DSM), has always been one of the most efficient ways to attract consumers to alter their power consumption patterns. In general, DR’s programs can be carried out by implementing electricity retail pricing. In this paper, first, an overview of the principles and rules of retail electricity pricing in the context of Smart Grid is presented. Then, new retail pricing methods have been applied in an optimization framework of energy management in Micro-grid. It can be noted that the analysis of this residential Micro-grid is performed with the presence of multi-carrier energy including electricity and gas systems. Also, a hybrid tariff plan, that is more in line with other pricing principles is proposed to evaluate its effectiveness in studied home micro-grid surveyed. To appraise the efficiency of the optimization framework and the proposed method of retail electricity pricing, numerous numerical studies have been done. Finally, simulation results indicate that the economic and social indicators including benefit, energy payment cost (EPC) and social welfare of the customer are optimized by zeroing out EPC and receiving a daily charge of about 1.31 pounds –on average- due to the presence in the retail electricity market.

ACS Style

Ali Asghar Afrooz; Hamed Nafisi; Mousa Marzband; Gevork B. Gharehpetian. Retail Electricity Pricing Impacts on Demand Response and Electrical Vehicles Planning in Residential Micro-grid. 2019 Iranian Conference on Renewable Energy & Distributed Generation (ICREDG) 2019, 1 -8.

AMA Style

Ali Asghar Afrooz, Hamed Nafisi, Mousa Marzband, Gevork B. Gharehpetian. Retail Electricity Pricing Impacts on Demand Response and Electrical Vehicles Planning in Residential Micro-grid. 2019 Iranian Conference on Renewable Energy & Distributed Generation (ICREDG). 2019; ():1-8.

Chicago/Turabian Style

Ali Asghar Afrooz; Hamed Nafisi; Mousa Marzband; Gevork B. Gharehpetian. 2019. "Retail Electricity Pricing Impacts on Demand Response and Electrical Vehicles Planning in Residential Micro-grid." 2019 Iranian Conference on Renewable Energy & Distributed Generation (ICREDG) , no. : 1-8.

Research article
Published: 11 February 2019 in IET Power Electronics
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In this paper, a near-state pulse-width modulation (NSPWM) algorithm is proposed and implemented on dual-two-level voltage-source inverters (D2L-VSIs) in order to reduce the common-mode voltage (CMV), the inverter switching losses, the current total harmonic distortion, and the side effects of bearing currents --compared with space vector modulation (SVM) and PWM7. To gain these goals, two conventional two-level inverters of the D2L-VSI are controlled, separately, with specific switching sequences and an adjusted phase difference between the carriers of two inverters. For evaluating and comparing these PWM techniques mathematically, both CMV root mean square generated and switching losses of the D2L-VSI are formulated as a function of the power factor of the D2L-VSI, which is driven by the methods detailed in this study. Eventually, theories and analysis, as well as simulations and experimental results --which are generated by MATLAB/Simulink environment and a 300 W scaled-down D2LVSI prototype, respectively --authenticate the superiority of the proposed NSPWM over both SVM and PWM7.

ACS Style

Amir Aghazadeh; Naser Khodabakhshi‐Javinani; Hamed Nafisi; Masoud Davari; Edris Pouresmaeil. Adapted near‐state PWM for dual two‐level inverters in order to reduce common‐mode voltage and switching losses. IET Power Electronics 2019, 12, 676 -685.

AMA Style

Amir Aghazadeh, Naser Khodabakhshi‐Javinani, Hamed Nafisi, Masoud Davari, Edris Pouresmaeil. Adapted near‐state PWM for dual two‐level inverters in order to reduce common‐mode voltage and switching losses. IET Power Electronics. 2019; 12 (4):676-685.

Chicago/Turabian Style

Amir Aghazadeh; Naser Khodabakhshi‐Javinani; Hamed Nafisi; Masoud Davari; Edris Pouresmaeil. 2019. "Adapted near‐state PWM for dual two‐level inverters in order to reduce common‐mode voltage and switching losses." IET Power Electronics 12, no. 4: 676-685.