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Benham Mohammadi-ivatloo received a B.S. degree in electrical engineering from the University of Tabriz in Tabriz, Iran in 2006 and M.S. and Ph.D. degrees from the Sharif University of Technology in Tehran, Iran in 2008, all with honors. He is currently a Professor with Faculty of Electrical and Computer Engineering at the University of Tabriz in Tabriz, Iran. His main area of research is economics, operation, and the planning of intelligent energy systems in a competitive market environment.
The diesel generators are usually used for supplying the electrical demand of the semi-submersible oil drilling rigs. The specific fuel consumption (SFC) of each diesel engine changes nonlinearly with respect to its power product. Hence, this paper presents an economic fuel dispatch model for diesel engines powered oil rig platforms using the cubic spline interpolation curve fitting of the SFC-power non-linear dependence. Moreover, the total fuel consumption of the diesel generators significantly reduces by shifting a partial part of the electricity demand of the offshore drilling rigs from on-peak time intervals to off-peak periods. In addition, battery energy storage contributes to the load curve smoothing strategy. A mixed-integer non-linear programming problem is developed under generalized algebraic mathematical modeling system to find the optimum fuel consumption and power generation schedules of the diesel producers, the value of demand increase/decrease, and the charge/discharge pattern of the battery at each operating time interval. A benchmark oil rig with eight diesel engines and four tidal turbines is considered to validate the proposed methodology. Four cases are studied without and with application of battery and load shifting program. It is found that implementation of peak-clipping and valley filling to energy demand pattern and battery integration with tidal-diesel driven oil rigs cause a significant fuel saving. In the presence of battery, 70 g fuel saving is achieved over a 24-hours study horizon. Moreover, the implementation of time-based load shifting program with the capability of 30% load decreasing (at peak hours) and increasing (at off-peak periods) makes it possible to save 282 g diesel fuel according to the base electrical demand profile. Finally, simultaneous integration of battery and demand-side management programs (with maximum 10% load flexibility) causes 216 g fuel saving in sample operation day.
Farkhondeh Jabari; Hamidreza Arasteh; Alireza Sheikhi‐Fini; Behnam Mohammadi‐Ivatloo. Optimization of a tidal‐battery‐diesel driven energy‐efficient standalone microgrid considering the load‐curve flattening program. International Transactions on Electrical Energy Systems 2021, e12993 .
AMA StyleFarkhondeh Jabari, Hamidreza Arasteh, Alireza Sheikhi‐Fini, Behnam Mohammadi‐Ivatloo. Optimization of a tidal‐battery‐diesel driven energy‐efficient standalone microgrid considering the load‐curve flattening program. International Transactions on Electrical Energy Systems. 2021; ():e12993.
Chicago/Turabian StyleFarkhondeh Jabari; Hamidreza Arasteh; Alireza Sheikhi‐Fini; Behnam Mohammadi‐Ivatloo. 2021. "Optimization of a tidal‐battery‐diesel driven energy‐efficient standalone microgrid considering the load‐curve flattening program." International Transactions on Electrical Energy Systems , no. : e12993.
While a lot of countries put renewable energy sources at the heart of their decarbonization strategies with directed incentive mechanisms, the variability of the renewable energy sources, remains a major challenge for electricity system operators in ensuring the security of supply. This challenge is particularly onerous when there is a coincidence between this variability and congestion of the tie-lines. Renewable generation spillage often leads to constraints being placed on the output of renewable energy sources. This situation causes a significant cost for electricity system operators due to the need for constraint payments to be made to renewable generations. These increased costs will ultimately be recovered from energy customers. Maintaining the balance in the aforementioned decarbonization, security of supply and affordability is a challenge that constitutes the energy trilemma. The integration of electric power systems with other energy infrastructures, e.g., natural gas, could be a promising solution for achieving a balanced performance in the energy trilemma, controlling the fluctuation of renewable energy sources, and increasing the flexibility of the integrated systems. Considering this, a hybrid bridging-operational framework based on the vector-bridging system concept is proposed. Also, a day-ahead integrated scheduling model is proposed that optimizes the integrated operation by considering the constraint payment costs in a linear optimization model. Simulation results on a large test system indicated that the hybrid bridging-operational framework could reduce the total cost of the congested system by 65% and release up to 10% of the pipeline capacities while harvesting the wind generation and removing constraint payments to wind generators.
Vahid Vahidinasab; Mahdi Habibi; Behnam Mohammadi-Ivatloo; Phil Taylor. Value of regional constraint management services of vector-bridging systems in a heavily constrained network. Applied Energy 2021, 301, 117421 .
AMA StyleVahid Vahidinasab, Mahdi Habibi, Behnam Mohammadi-Ivatloo, Phil Taylor. Value of regional constraint management services of vector-bridging systems in a heavily constrained network. Applied Energy. 2021; 301 ():117421.
Chicago/Turabian StyleVahid Vahidinasab; Mahdi Habibi; Behnam Mohammadi-Ivatloo; Phil Taylor. 2021. "Value of regional constraint management services of vector-bridging systems in a heavily constrained network." Applied Energy 301, no. : 117421.
Nowadays, the renewable energy sources in microgrids (MGs) have high participation to supply the consumer’s demand. In such MGs, the problems such as the system frequency stability, inertia, and damping reduction are threatened. To overcome this challenge, employing the virtual inertia control (VIC) concept in the MG structure could be considered as a viable solution to improve the system frequency response. Hence, this work proposes a novel modeling for VIC in an islanded MG that provides simultaneous emulation of the primary frequency control, virtual inertia, and damping. To show the efficiency of the proposed technique, a comparison is made between the dynamic performance of the proposed VIC and conventional VIC under different scenarios. The results indicate that the proposed VIC presents superior frequency performance in comparison with conventional VIC. In addition to VIC modeling, a new cascade controller based on three-degrees of freedom and fractional-order controllers (FOCs) is proposed as an MG secondary controller. The effectiveness of the proposed controller is compared to tilt-integral-derivative and FO proportional-integral-derivative controllers. The Squirrel search algorithm is utilized to obtain the optimal coefficients of the controllers. The results demonstrate that the proposed controller improves the MG frequency performance over other controllers. Eventually, the sensitivity analysis is performed to investigate the robustness of the proposed controller in the face of the variations of the parameters.
Soroush Oshnoei; Mohammadreza Aghamohammadi; Siavash Oshnoei; Arman Oshnoei; Behnam Mohammadi-Ivatloo. Provision of Frequency Stability of an Islanded Microgrid Using a Novel Virtual Inertia Control and a Fractional Order Cascade Controller. Energies 2021, 14, 4152 .
AMA StyleSoroush Oshnoei, Mohammadreza Aghamohammadi, Siavash Oshnoei, Arman Oshnoei, Behnam Mohammadi-Ivatloo. Provision of Frequency Stability of an Islanded Microgrid Using a Novel Virtual Inertia Control and a Fractional Order Cascade Controller. Energies. 2021; 14 (14):4152.
Chicago/Turabian StyleSoroush Oshnoei; Mohammadreza Aghamohammadi; Siavash Oshnoei; Arman Oshnoei; Behnam Mohammadi-Ivatloo. 2021. "Provision of Frequency Stability of an Islanded Microgrid Using a Novel Virtual Inertia Control and a Fractional Order Cascade Controller." Energies 14, no. 14: 4152.
Mohammad Amin Mirzaei; Mohammad Hemmati; Kazem Zare; Behnam Mohammadi‐Ivatloo; Mehdi Abapour; Mousa Marzband; Reza Razzaghi; Amjad Anvari‐Moghaddam. Network‐constrained rail transportation and power system scheduling with mobile battery energy storage under a multi‐objective two‐stage stochastic programming. International Journal of Energy Research 2021, 1 .
AMA StyleMohammad Amin Mirzaei, Mohammad Hemmati, Kazem Zare, Behnam Mohammadi‐Ivatloo, Mehdi Abapour, Mousa Marzband, Reza Razzaghi, Amjad Anvari‐Moghaddam. Network‐constrained rail transportation and power system scheduling with mobile battery energy storage under a multi‐objective two‐stage stochastic programming. International Journal of Energy Research. 2021; ():1.
Chicago/Turabian StyleMohammad Amin Mirzaei; Mohammad Hemmati; Kazem Zare; Behnam Mohammadi‐Ivatloo; Mehdi Abapour; Mousa Marzband; Reza Razzaghi; Amjad Anvari‐Moghaddam. 2021. "Network‐constrained rail transportation and power system scheduling with mobile battery energy storage under a multi‐objective two‐stage stochastic programming." International Journal of Energy Research , no. : 1.
This paper proposes a distributed false data injection attack (FDIA) by attacking to the boundary buses in an interconnected power system. The proposed attack utilizes the measurements corresponding to a set of boundary buses in each neighboring areas to inject arbitrary errors to the estimated states of those buses. It is demonstrated that the attack not only gets through the robust distributed estimators but also bypasses the convergence-based detection methods. Furthermore, in an illustrative example, the differences in the attack with the conventional FDIA are briefly explained. Then, finding the optimal attack vector to minimize the maximum difference between the per area errors by considering the attacker's limitations is formulated as a mixed-integer second-order cone programming (MISOCP) problem. Finally, an unsupervised machine learning-based detection method is proposed utilizing a kernel density estimation technique along with statistical measures. This follows an outlier detection to filter out attacks. To show the performance of the detector, the $n-1$ contingency, which changes the probability distribution of data is analyzed. The proposed attack and
Alireza Shefaei; Mostafa Mohammadpourfard; Behnam Mohammadi-Ivatloo; Yang Weng. Revealing a New Vulnerability of Distributed State Estimation: A Data Integrity Attack and an Unsupervised Detection Algorithm. IEEE Transactions on Control of Network Systems 2021, PP, 1 -1.
AMA StyleAlireza Shefaei, Mostafa Mohammadpourfard, Behnam Mohammadi-Ivatloo, Yang Weng. Revealing a New Vulnerability of Distributed State Estimation: A Data Integrity Attack and an Unsupervised Detection Algorithm. IEEE Transactions on Control of Network Systems. 2021; PP (99):1-1.
Chicago/Turabian StyleAlireza Shefaei; Mostafa Mohammadpourfard; Behnam Mohammadi-Ivatloo; Yang Weng. 2021. "Revealing a New Vulnerability of Distributed State Estimation: A Data Integrity Attack and an Unsupervised Detection Algorithm." IEEE Transactions on Control of Network Systems PP, no. 99: 1-1.
In recent years, energy saving has attracted the attention of researchers due to environment, energy, and reliability issues. Energy saving due to these advantages is one of the major steps toward sustainable cities and society. In this regard, the low-voltage section of the distribution system, including buildings and public lighting systems (PLSs), has great energy-saving potential. Accordingly, the present work reviews the potential of different energy-saving options and their environmental impact on buildings of different sectors and PLSs. In addition to direct energy-saving options such as using renewable energy sources and energy-efficient luminaries, available indirect options such as transactive energy, using energy storage systems and demand response programs are reviewed. For both the building and PLS sectors, available control strategies and technologies and related energy and emission saving potential are discussed. The detailed highlights of the previous works associated with the location of each research or experimental study are given in this review study. Finally, the key findings regarding the gap in the literature of the energy saving topic are discussed. This study is influential for policy-makers to take effective actions for energy saving through existing approaches and technologies, and is beneficial for researchers of the energy saving topic.
Omid Sadeghian; Arash Moradzadeh; Behnam Mohammadi-Ivatloo; Mehdi Abapour; Amjad Anvari-Moghaddam; Jeng Shiun Lim; Fausto Pedro Garcia Marquez. A comprehensive review on energy saving options and saving potential in low voltage electricity distribution networks: Building and public lighting. Sustainable Cities and Society 2021, 72, 103064 .
AMA StyleOmid Sadeghian, Arash Moradzadeh, Behnam Mohammadi-Ivatloo, Mehdi Abapour, Amjad Anvari-Moghaddam, Jeng Shiun Lim, Fausto Pedro Garcia Marquez. A comprehensive review on energy saving options and saving potential in low voltage electricity distribution networks: Building and public lighting. Sustainable Cities and Society. 2021; 72 ():103064.
Chicago/Turabian StyleOmid Sadeghian; Arash Moradzadeh; Behnam Mohammadi-Ivatloo; Mehdi Abapour; Amjad Anvari-Moghaddam; Jeng Shiun Lim; Fausto Pedro Garcia Marquez. 2021. "A comprehensive review on energy saving options and saving potential in low voltage electricity distribution networks: Building and public lighting." Sustainable Cities and Society 72, no. : 103064.
Nowadays, industrial parks play a significant role in the development of electricity market plans, and can thus provide excellent opportunities for market players to actively participate in various electricity markets. The demand response aggregator (DRA) is a major market player that can take advantage of these opportunities. In restructured electricity markets, identifying the consumption patterns of different classes of consumers can be effective in furthering the goals of the DRA. In previous studies on the self-scheduling of the DRA, consumer behavior has not been considered. Such an approach leads to numerous technical problems in the restructured electricity markets. For this purpose, herein, a practical mechanism is presented for executing the self-scheduling process of the DRA by considering the load disaggregation algorithm. The integration of self-scheduling and load disaggregation processes creates a hierarchical optimization problem. The main aim of the constructed hierarchical structure is to find the optimal self-scheduling of the DRA to consciously participate in the electricity markets by identifying the behavior of different consumers. The proposed structure is implemented and evaluated on the industrial park in Saveh, Iran. The time-of-use (TOU) and reward-based demand response (DR) programs are considered as the tools available for the DRA to trade the DR volumes in the day-ahead and balancing electricity markets.
Morteza Zare Oskouei; Sevda Zeinal-Kheiri; Behnam Mohammadi-Ivatloo; Mehdi Abapour; Hasan Mehrjerdi. Optimal Scheduling of Demand Response Aggregators in Industrial Parks Based on Load Disaggregation Algorithm. IEEE Systems Journal 2021, PP, 1 -10.
AMA StyleMorteza Zare Oskouei, Sevda Zeinal-Kheiri, Behnam Mohammadi-Ivatloo, Mehdi Abapour, Hasan Mehrjerdi. Optimal Scheduling of Demand Response Aggregators in Industrial Parks Based on Load Disaggregation Algorithm. IEEE Systems Journal. 2021; PP (99):1-10.
Chicago/Turabian StyleMorteza Zare Oskouei; Sevda Zeinal-Kheiri; Behnam Mohammadi-Ivatloo; Mehdi Abapour; Hasan Mehrjerdi. 2021. "Optimal Scheduling of Demand Response Aggregators in Industrial Parks Based on Load Disaggregation Algorithm." IEEE Systems Journal PP, no. 99: 1-10.
This paper proposes an approach for optimal planning of the power to gas energy storage facilities faced by a strategic investor in an electricity market while considering the network constraints. The proposed approach relies on a bi-level programming model whose upper-level problem determines both investment and bidding decisions to maximize the expected profit of the investor and the lower-level problem corresponds to the electricity market clearing. The bi-level model is transferred into a mathematical program with equilibrium constraints through replacing the lower-level problem by its optimality conditions. The resulting nonlinear mathematical program with equilibrium constraints is linearized by using the duality theory and Karush-Kuhn-Tucker optimality conditions. The mixed-integer linear programming problem is solved using GAMS with CPLEX solver. Results pertaining to an illustrative example and a case study are reported and discussed, which validate the proposed approach.
Farnaz Sohrabi; M.J. Vahid-Pakdel; Behnam Mohammadi-Ivatloo; Amjad Anvari-Moghaddam. Strategic planning of power to gas energy storage facilities in electricity market. Sustainable Energy Technologies and Assessments 2021, 46, 101238 .
AMA StyleFarnaz Sohrabi, M.J. Vahid-Pakdel, Behnam Mohammadi-Ivatloo, Amjad Anvari-Moghaddam. Strategic planning of power to gas energy storage facilities in electricity market. Sustainable Energy Technologies and Assessments. 2021; 46 ():101238.
Chicago/Turabian StyleFarnaz Sohrabi; M.J. Vahid-Pakdel; Behnam Mohammadi-Ivatloo; Amjad Anvari-Moghaddam. 2021. "Strategic planning of power to gas energy storage facilities in electricity market." Sustainable Energy Technologies and Assessments 46, no. : 101238.
Despite the increasing level of renewable power generation in power grids, fossil fuel power plants still have a significant role in producing carbon emissions. The integration of carbon capturing and storing systems to the conventional power plants can significantly reduce the spread of carbon emissions. In this paper, the economic-emission dispatch of combined renewable and coal power plants equipped with carbon capture systems is addressed in a multi-objective optimization framework. The power systems flexibility is enhanced by hydropower plants, pumped hydro storage, and demand response program. The wind generation and load consumption uncertainties are modeled using stochastic programming. The DC power flow model is implemented on a modified IEEE 24-bus test system. Solving the problem resulted in an optimal Pareto frontier, while the fuzzy decision-making method found the best solution. The sensitivity of the objective functions concerning the generation-side is also investigated.
Alireza Akbari-Dibavar; Behnam Mohammadi-Ivatloo; Kazem Zare; Tohid Khalili; Ali Bidram. Economic-Emission Dispatch Problem in Power Systems with Carbon Capture Power Plants. IEEE Transactions on Industry Applications 2021, PP, 1 -1.
AMA StyleAlireza Akbari-Dibavar, Behnam Mohammadi-Ivatloo, Kazem Zare, Tohid Khalili, Ali Bidram. Economic-Emission Dispatch Problem in Power Systems with Carbon Capture Power Plants. IEEE Transactions on Industry Applications. 2021; PP (99):1-1.
Chicago/Turabian StyleAlireza Akbari-Dibavar; Behnam Mohammadi-Ivatloo; Kazem Zare; Tohid Khalili; Ali Bidram. 2021. "Economic-Emission Dispatch Problem in Power Systems with Carbon Capture Power Plants." IEEE Transactions on Industry Applications PP, no. 99: 1-1.
Coordinated operation of several industrial energy hubs (IEHs) to realize local energy management concepts at strategic points like industrial parks has attracted the attention of power grid operators worldwide. Deriving an operational model for integrating a large set of IEHs to trade energy in various markets is a fundamental challenge that has not yet been addressed. In this context, this paper presents an optimal market participation strategy for a virtual energy hub (VEH) consisting of multiple IEHs and industrial consumers. The proposed strategy seeks to answer two questions: (1) how can a VEH operator (VEHO) minimize its operation cost when participating in different energy markets (2) how can ancillary services affect the economic performance of VEH To address these questions, a two-stage robust-stochastic optimization model is proposed with the aim of minimizing the total operation cost of VEH and compensating the operational risks associated with the existing uncertainties considering the operational limits of the power grid. To this aim, the advanced ancillary services, i.e., market-based demand response programs and transactive energy management mechanism are used in line with the optimization problem. Furthermore, the role of the multi-supply facilities is included in the developed strategy to improve VEH flexibility.
Morteza Zare Oskouei; Behnam Mohammadi-Ivatloo; Mehdi Abapour; Mahmood Shafiee; Amjad Anvari-Moghaddam. Strategic Operation of a Virtual Energy Hub with the Provision of Advanced Ancillary Services in Industrial Parks. IEEE Transactions on Sustainable Energy 2021, PP, 1 -1.
AMA StyleMorteza Zare Oskouei, Behnam Mohammadi-Ivatloo, Mehdi Abapour, Mahmood Shafiee, Amjad Anvari-Moghaddam. Strategic Operation of a Virtual Energy Hub with the Provision of Advanced Ancillary Services in Industrial Parks. IEEE Transactions on Sustainable Energy. 2021; PP (99):1-1.
Chicago/Turabian StyleMorteza Zare Oskouei; Behnam Mohammadi-Ivatloo; Mehdi Abapour; Mahmood Shafiee; Amjad Anvari-Moghaddam. 2021. "Strategic Operation of a Virtual Energy Hub with the Provision of Advanced Ancillary Services in Industrial Parks." IEEE Transactions on Sustainable Energy PP, no. 99: 1-1.
Predicting the final folded structure of protein molecules and simulating their folding pathways is of crucial importance for designing viral drugs and studying diseases such as Alzheimer’s at the molecular level. To this end, this paper investigates the problem of protein conformation prediction under the constraint of avoiding high-entropy-loss routes during folding. Using the wellestablished kinetostatic compliance (KCM)-based nonlinear dynamics of a protein molecule, this paper formulates the protein conformation prediction as a pointwise optimal control synthesis problem cast as a quadratic program (QP). It is shown that the KCM torques in the protein folding literature can be utilized for defining a reference vector field for the QP-based control generation problem. The resulting kinetostatic control torque inputs will be close to the KCM-based reference vector field and guaranteed to be constrained by a predetermined bound; hence, highentropy-loss routes during folding are avoided while the energy of the molecule is decreased.
A. Mohammadi; Mark W. Spong. Quadratic Optimization-Based Nonlinear Control for Protein Conformation Prediction. IEEE Control Systems Letters 2021, 6, 373 -378.
AMA StyleA. Mohammadi, Mark W. Spong. Quadratic Optimization-Based Nonlinear Control for Protein Conformation Prediction. IEEE Control Systems Letters. 2021; 6 (99):373-378.
Chicago/Turabian StyleA. Mohammadi; Mark W. Spong. 2021. "Quadratic Optimization-Based Nonlinear Control for Protein Conformation Prediction." IEEE Control Systems Letters 6, no. 99: 373-378.
Increasing applications of CHP units have turned the problem of finding the best optimization model into a significant subject for scholars. In this respect, this paper is aimed at driving a novel formulation to the multi-objective day-ahead scheduling of CHP units using Bernstein polynomials, which more optimally schedules power and heat generations as well as ramping trajectories. This procedure includes yielding an affine function that closely approximates real-time net-load and generation trajectories, which is demonstrated to have a superior performance to the conventional hourly day-ahead scheduling of CHP units based on discrete-time approximation. The problem of how to handle various objective functions by function space method is also addressed. The simulations conducted on the sample test systems, which consist of CHP systems, thermal and heat-only units, as well as thermal and electrical loads, show that the suggested multi-objective model can perfectly cover the total heat and electrical loads in terms of economic and environmental criteria. More importantly, the results indicate that the accuracy of the proposed approach renders cost saving of 1.67% and emission saving of 1.46% in comparison with the conventional hourly-based model, apart from leading to fewer ramping scarcities in real-time operations.
Elnaz Davoodi; Salar Balaei-Sani; Behnam Mohammadi-Ivatloo; Mehdi Abapour. Flexible Continuous-Time Modeling for Multi-Objective Day-Ahead Scheduling of CHP Units. Sustainability 2021, 13, 5058 .
AMA StyleElnaz Davoodi, Salar Balaei-Sani, Behnam Mohammadi-Ivatloo, Mehdi Abapour. Flexible Continuous-Time Modeling for Multi-Objective Day-Ahead Scheduling of CHP Units. Sustainability. 2021; 13 (9):5058.
Chicago/Turabian StyleElnaz Davoodi; Salar Balaei-Sani; Behnam Mohammadi-Ivatloo; Mehdi Abapour. 2021. "Flexible Continuous-Time Modeling for Multi-Objective Day-Ahead Scheduling of CHP Units." Sustainability 13, no. 9: 5058.
This paper elaborates on optimal scheduling of coordinated power and natural gas (NG) networks in the presence of interconnected energy hubs considering reconfiguration as a flexibility source. With regard to the energy hub system consisting of several generation units, storage and conversion technologies, as well as natural gas‐fired units, the high interdependency between gas and electricity carriers should be captured. The hourly reconfiguration capability is developed for the first time in a multi‐energy system to enhance the optimal power dispatch and gas consumption pattern. The realistic interdependency of electrical and NG grids is investigated by employing the steady‐state Weymouth equation and AC‐power flow model for power and gas networks, respectively. Furthermore, to handle the risk associated with strong uncertainty of wind power, load, and real‐time power price, the conditional value at risk approach is employed. The proposed model is implemented on the integrated test system and simulation results are presented for different cases. The impact of the risk aversion level on operating cost and optimal scheduling of controllable units is examined. Numerical results demonstrate that reconfigurable capability reduces the operational cost up to 7.82%.
Mohammad Hemmati; Mehdi Abapour; Behnam Mohammadi‐Ivatloo; Amjad Anvari‐Moghaddam. Risk‐based optimal operation of coordinated natural gas and reconfigurable electrical networks with integrated energy hubs. IET Renewable Power Generation 2021, 1 .
AMA StyleMohammad Hemmati, Mehdi Abapour, Behnam Mohammadi‐Ivatloo, Amjad Anvari‐Moghaddam. Risk‐based optimal operation of coordinated natural gas and reconfigurable electrical networks with integrated energy hubs. IET Renewable Power Generation. 2021; ():1.
Chicago/Turabian StyleMohammad Hemmati; Mehdi Abapour; Behnam Mohammadi‐Ivatloo; Amjad Anvari‐Moghaddam. 2021. "Risk‐based optimal operation of coordinated natural gas and reconfigurable electrical networks with integrated energy hubs." IET Renewable Power Generation , no. : 1.
Over the last decades, environmental concerns and the global tendency to reduce the use of fossil fuels and replacing them with renewable energy sources (RESs) to face the increasing rate of greenhouse gas (GHG) emissions have increased. Buildings consume a significant amount of energy and therefore, they are responsible for a noticeable part of the total GHG emission. Thus, when we talk about decarbonization of the energy systems, buildings are an important sector of the energy system that needs to be considered. Using RESs, smart technologies, and information and communication technologies along with the improvement in energy efficiency, are a number of endeavors to increase the role of building on the way toward decarbonization. In the new environment, the buildings are not passive players of the energy systems and they are able to take an active role and participate in the energy-efficient operation. While they are able to manage their resources and serve the local energy requirements of the residents in the best possible manner, they can participate in the energy and balancing markets and support the network operators as a service provider. In this paper, we present a comprehensive review of active buildings’ concept, challenges and outlook to pave the way for the researchers from academia and industry who want to start working in this area.
Vahid Vahidinasab; Chenour Ardalan; Behnam Mohammadi-Ivatloo; Damian Giaouris; Sara L. Walker. Active Building as an Energy System: Concept, Challenges, and Outlook. IEEE Access 2021, 9, 1 -1.
AMA StyleVahid Vahidinasab, Chenour Ardalan, Behnam Mohammadi-Ivatloo, Damian Giaouris, Sara L. Walker. Active Building as an Energy System: Concept, Challenges, and Outlook. IEEE Access. 2021; 9 ():1-1.
Chicago/Turabian StyleVahid Vahidinasab; Chenour Ardalan; Behnam Mohammadi-Ivatloo; Damian Giaouris; Sara L. Walker. 2021. "Active Building as an Energy System: Concept, Challenges, and Outlook." IEEE Access 9, no. : 1-1.
The planning of hydrothermal power systems determines the best possible generation of thermal alongside hydro units to attain the optimum fuel cost of thermal power plants in a short term (1 day) or long term (1 week) in view of several electric system limits and also hydraulic constraints. Owing to complicating variables and decomposable framework of the problem, a dependable approach based upon Benders decomposition algorithm to handle the complex short-term hydrothermal generation planning issue is presented in this chapter. The efficiency of the suggested procedure is validated on a well-known multi-reservoir cascaded hydrothermal system containing four hydro and one thermal units. The approach presented here addresses constraints such as load production balance, unit generation restrictions, reservoir flow balance, reservoir physical appearance constraints, reservoir connection, and water transport delay between the connected reservoirs. Moreover, the cost function of the thermal units is inclusive of the valve point effect. The results are conducted by GAMS solvers and the strengths as well as weaknesses of the proposed method are weighted up with those in this chapter. The obtained simulation results evidently illustrate that the suggested Benders decomposition algorithm can provide great convergence behavior and considerably better solution than other methods associated with the total operation cost and execution time.
Elnaz Davoodi; Behnam Mohammadi-Ivatloo. A Decomposition-Based Efficient Method for Short-Term Operation Scheduling of Hydrothermal Problem with Valve-Point Loading Effects. Numerical Methods for Energy Applications 2021, 159 -178.
AMA StyleElnaz Davoodi, Behnam Mohammadi-Ivatloo. A Decomposition-Based Efficient Method for Short-Term Operation Scheduling of Hydrothermal Problem with Valve-Point Loading Effects. Numerical Methods for Energy Applications. 2021; ():159-178.
Chicago/Turabian StyleElnaz Davoodi; Behnam Mohammadi-Ivatloo. 2021. "A Decomposition-Based Efficient Method for Short-Term Operation Scheduling of Hydrothermal Problem with Valve-Point Loading Effects." Numerical Methods for Energy Applications , no. : 159-178.
Renewable energy sources (RESs) have a remarkable role in advancing the goals of restructured power systems to reduce greenhouse gas emissions and increase the level of reliability. However, due to the non‐uniform utilisation of these resources in various sectors of power grids, a major part of the generated renewable energies is spilled to satisfy the power system constraints. Motivated by this challenge, the role of the reconfiguration mechanism in maximising the utilisation of RESs in active distribution networks (ADNs) is investigated herein. To this end, a two‐stage stochastic model is presented for optimal scheduling of reconfigurable distribution networks in the presence of high‐power hybrid wind/photovoltaic systems. The main goal of the presented model is to maximise the hybrid system owner's profit. In the first stage of the presented structure, the optimal hourly bilateral dispatches between the hybrid system and the ADN in the day‐ahead electricity market are determined to maximise the hybrid system owner's profit. In the second stage, the power spillage of the hybrid renewable energy systems are minimised using reconfiguration technology in the real‐time electricity market. For practical implementation, the proposed operational strategy is applied to the modified 33‐bus and 69‐bus distribution test systems, and is solved using GAMS software. The simulation results indicate that the proposed strategy can considerably reduce renewable power spillage, increase the hybrid system owner's profit, and decrease total active power loss of the ADN. According to the obtained results in the 33‐bus test system, the profit of the hybrid system owner is increased by up to 6.8% as well as the total active power loss being decreased by up 75.58% through the presented structure.
Morteza Zare Oskouei; Behnam Mohammadi‐Ivatloo; Mehdi Abapour; Reza Razzaghi. Optimal stochastic scheduling of reconfigurable active distribution networks hosting hybrid renewable energy systems. IET Smart Grid 2021, 1 .
AMA StyleMorteza Zare Oskouei, Behnam Mohammadi‐Ivatloo, Mehdi Abapour, Reza Razzaghi. Optimal stochastic scheduling of reconfigurable active distribution networks hosting hybrid renewable energy systems. IET Smart Grid. 2021; ():1.
Chicago/Turabian StyleMorteza Zare Oskouei; Behnam Mohammadi‐Ivatloo; Mehdi Abapour; Reza Razzaghi. 2021. "Optimal stochastic scheduling of reconfigurable active distribution networks hosting hybrid renewable energy systems." IET Smart Grid , no. : 1.
The way the world gets its energy is undergoing a rapid transition, driven by both the increased urgency of decarbonizing energy systems and the plummeting costs of renewable energy technologies
Amjad Anvari-Moghaddam; Vahid Vahidinasab; Behnam Mohammadi-Ivatloo; Reza Razzaghi; Fazel Mohammadi. Emerging Technologies for the Energy Systems of the Future. Inventions 2021, 6, 23 .
AMA StyleAmjad Anvari-Moghaddam, Vahid Vahidinasab, Behnam Mohammadi-Ivatloo, Reza Razzaghi, Fazel Mohammadi. Emerging Technologies for the Energy Systems of the Future. Inventions. 2021; 6 (2):23.
Chicago/Turabian StyleAmjad Anvari-Moghaddam; Vahid Vahidinasab; Behnam Mohammadi-Ivatloo; Reza Razzaghi; Fazel Mohammadi. 2021. "Emerging Technologies for the Energy Systems of the Future." Inventions 6, no. 2: 23.
Available transfer capability (ATC) plays an essential role in deregulated power network scheduling. This value determines the power that can be transferred between deregulated regions. The ATC value is limited by transmission line constraints and reliability marginal terms. In this article, the impact of dynamic line rating (DLR) instruments, which are generally used to enhance the capacity of transmission lines, on the ATC is investigated. In addition, a robust ATC evaluation model is proposed to find worst cases for determining the reliability marginal terms and considering them in the ATC evaluation. The robust ATC evaluation model includes a master problem, formulated to determine ATC and total transfer capability, as well as two bilevel subproblems, formulated to find the reliability marginal terms. The Benders decomposition algorithm is derived to solve the proposed robust ATC evaluation. An uncertain environment, including wind farm powers, dynamic line capacities, and load demand values, is also considered to cover the stochastic nature of such uncertainty sources. A probabilistic approach is proposed to calculate the expected value of ATC and depict the cumulative distribution function of each variable. The proposed probabilistic model is based on dividing the stochastic set into smaller groups, similar to clustering techniques. However, the significant differences between the proposed probabilistic and cluster-based models are due to detecting the optimal value of a reduced number of stochastic sets and finding the members of each cluster set. In other words, a sequential game-theoretic approach is applied to divide the data into smaller sets. The impact of DLR on the proposed robust ATC evaluation problem and the efficiency of the proposed probabilistic model are evaluated by comprehensive studies based on the IEEE 118-bus test system.
Sajad Madadi; Behnam Mohammadi-Ivatloo; Sajjad Tohidi. Probabilistic Available Transfer Capability Evaluation Considering Dynamic Line Rating Based on a Sequential Game-Theoretic Approach. IEEE Systems Journal 2021, PP, 1 -11.
AMA StyleSajad Madadi, Behnam Mohammadi-Ivatloo, Sajjad Tohidi. Probabilistic Available Transfer Capability Evaluation Considering Dynamic Line Rating Based on a Sequential Game-Theoretic Approach. IEEE Systems Journal. 2021; PP (99):1-11.
Chicago/Turabian StyleSajad Madadi; Behnam Mohammadi-Ivatloo; Sajjad Tohidi. 2021. "Probabilistic Available Transfer Capability Evaluation Considering Dynamic Line Rating Based on a Sequential Game-Theoretic Approach." IEEE Systems Journal PP, no. 99: 1-11.
The energy hub (EH) concept is an efficient way to integrate various energy carriers. In addition, demand response programmes (DRPs) are complementary to improving an EH's efficiency and increase energy system flexibility. The hydrogen storage system, as a green energy carrier, has an essential role in balancing supply and demand precisely, similar to other storage systems. A hybrid robust‐stochastic approach is applied herein to address fluctuations in wind power generation, multiple demands, and electricity market price in a hydrogen‐based smart micro‐energy hub (SMEH) with multi‐energy storage systems. The proposed hybrid approach enables the operator to manage the existing uncertainties with more flexibility. Also, flexible electrical and thermal demands under an integrated demand response programme (IDRP) are implemented in the proposed SMEH. The optimal scheduling of the hydrogen‐based SMEH problem considering wind power generation and electricity market price fluctuations, as well as IDRP, is modelled via a mixed‐integer linear programming problem. Finally, the validity and applicability of the proposed model are verified through simulation and numerical results.
Amin Mansour‐Satloo; Masoud Agabalaye‐Rahvar; Mohammad Amin Mirazaei; Behnam Mohammadi‐Ivatloo; Kazem Zare; Amjad Anvari‐Moghaddam. A hybrid robust‐stochastic approach for optimal scheduling of interconnected hydrogen‐based energy hubs. IET Smart Grid 2021, 4, 241 -254.
AMA StyleAmin Mansour‐Satloo, Masoud Agabalaye‐Rahvar, Mohammad Amin Mirazaei, Behnam Mohammadi‐Ivatloo, Kazem Zare, Amjad Anvari‐Moghaddam. A hybrid robust‐stochastic approach for optimal scheduling of interconnected hydrogen‐based energy hubs. IET Smart Grid. 2021; 4 (2):241-254.
Chicago/Turabian StyleAmin Mansour‐Satloo; Masoud Agabalaye‐Rahvar; Mohammad Amin Mirazaei; Behnam Mohammadi‐Ivatloo; Kazem Zare; Amjad Anvari‐Moghaddam. 2021. "A hybrid robust‐stochastic approach for optimal scheduling of interconnected hydrogen‐based energy hubs." IET Smart Grid 4, no. 2: 241-254.
This paper proposes a robust finite-time controller (FTC) for a permanent magnet synchronous generator (PMSG)-based wind turbine generator (WTG). An adaptive observer is used for the rotor angle, rotor speed, and turbine torque estimations of the PMSG, thus eliminating the use of anemometers. The robustness of the proposed FTC regarding parameter uncertainty and the external weak power grid is analyzed. The impacts of the power grid short-circuit ratio (SCR) at the point of common coupling (PCC) on the conventional proportional-integral (PI) controller and the proposed FTC are discussed. Case studies illustrate that the proposed observer-based FTC is able to estimate the mechanical variables accurately and provides robust control for WTGs with parameter uncertainty and weak power grids.
Roghayyeh Pourebrahim; Amin Shotorbani; Fausto Márquez; Sajjad Tohidi; Behnam Mohammadi-Ivatloo. Robust Control of a PMSG-Based Wind Turbine Generator Using Lyapunov Function. Energies 2021, 14, 1712 .
AMA StyleRoghayyeh Pourebrahim, Amin Shotorbani, Fausto Márquez, Sajjad Tohidi, Behnam Mohammadi-Ivatloo. Robust Control of a PMSG-Based Wind Turbine Generator Using Lyapunov Function. Energies. 2021; 14 (6):1712.
Chicago/Turabian StyleRoghayyeh Pourebrahim; Amin Shotorbani; Fausto Márquez; Sajjad Tohidi; Behnam Mohammadi-Ivatloo. 2021. "Robust Control of a PMSG-Based Wind Turbine Generator Using Lyapunov Function." Energies 14, no. 6: 1712.