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Hamid Reza Najafi
Department of Electrical and Computer Engineering, University of Birjand, Birjand, Iran

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Journal article
Published: 05 January 2021 in International Journal of Electrical Power & Energy Systems
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Changing the operation mode of the sources leads to change in the fault current passing through overcurrent relays, their operating time and relay pairs coordination. In this paper, a new adaptive method is proposed to maintain the coordination of overcurrent relays under uncertainty of the presence of DGs in a distribution network. In this method, the relay settings are first calculated in the base structure (in the absence of DGs) and coordination is established. The fault currents of the new structure are then calculated from the Thevenin equivalent circuit. The Thevenin equivalent circuit is determined from the relay point of view using voltage and current measured at the relay location before a fault occurrence. Adaptive coefficients are then defined as ratios of the base structure fault currents to the new structure fault currents. Using these adaptive coefficients, the fault currents in the new structure are converted into the equivalent values in the base structure, and the coordination of relay pairs is maintained. The proposed adaptive relays coordination is compared with the conventional relays coordination in networks with radial, ring and mesh configurations. The simulation results show the superiority of the proposed method in maintaining coordination.

ACS Style

Nader Hatefi Torshizi; Hamidreza Najafi; Abbas Saberi Noghabi; Javad Sadeh. An adaptive characteristic for overcurrent relays considering uncertainty in presence of distributed generation. International Journal of Electrical Power & Energy Systems 2021, 128, 106688 .

AMA Style

Nader Hatefi Torshizi, Hamidreza Najafi, Abbas Saberi Noghabi, Javad Sadeh. An adaptive characteristic for overcurrent relays considering uncertainty in presence of distributed generation. International Journal of Electrical Power & Energy Systems. 2021; 128 ():106688.

Chicago/Turabian Style

Nader Hatefi Torshizi; Hamidreza Najafi; Abbas Saberi Noghabi; Javad Sadeh. 2021. "An adaptive characteristic for overcurrent relays considering uncertainty in presence of distributed generation." International Journal of Electrical Power & Energy Systems 128, no. : 106688.

Journal article
Published: 15 July 2020 in IEEE Transactions on Power Systems
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Intentional controlled islanding (ICI) is the last resort to split an endangered power system into smaller islands to prevent blackout. New lines that are planned by transmission expansion planning (TEP) can affect the stability of islands during ICI. In this paper, an ICI-TEP method is proposed to improve the stability of islands by more efficient planning of transmission assets. Moreover, by developing a criterion for the frequency of center of inertia (COI) in each island, the frequency deviations of generators from the COI frequency are minimized to result in more stable islands. The proposed ICI-TEP, incorporating AC network representation, is modeled as mixed-integer linear programming and quadratic convex problems ensuring tractability. A Benders decomposition strategy is also proposed to solve the problem. Results of testing the proposed ICI-TEP method on IEEE 39-bus and 300-bus test systems confirm its effectiveness, compared to conventional TEP, in terms of coping with sever disturbances by creating more stable islands with a lower load shedding.

ACS Style

Masoud Esmaili; Mohammad Ghamsari-Yazdel; Nima Amjady; C. Y. Chung. Convex Model for Controlled Islanding in Transmission Expansion Planning to Improve Frequency Stability. IEEE Transactions on Power Systems 2020, 36, 58 -67.

AMA Style

Masoud Esmaili, Mohammad Ghamsari-Yazdel, Nima Amjady, C. Y. Chung. Convex Model for Controlled Islanding in Transmission Expansion Planning to Improve Frequency Stability. IEEE Transactions on Power Systems. 2020; 36 (1):58-67.

Chicago/Turabian Style

Masoud Esmaili; Mohammad Ghamsari-Yazdel; Nima Amjady; C. Y. Chung. 2020. "Convex Model for Controlled Islanding in Transmission Expansion Planning to Improve Frequency Stability." IEEE Transactions on Power Systems 36, no. 1: 58-67.

Journal article
Published: 20 April 2020 in IEEE Transactions on Power Systems
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We propose a transmission expansion planning model that integrates thyristor-controlled series compensators (TCSCs) to enhance line transmission capacity, and superconducting fault current limiters (SFCLs) to control short-circuit levels. The harmonious interplay between TCSCs and SFCLs results in effective and economically attractive optimal expansion plans. This multi-stage planning model translates into a complex mixed-integer nonlinear programming problem, which is hard to solve. To solve it, we propose a successive linearization technique within a Benders’ decomposition scheme that proves effective in finding optimal solutions and efficient in terms of computational burden. We illustrate the methodology proposed using the IEEE 39-bus system.

ACS Style

Masoud Esmaili; Mohammad Ghamsari-Yazdel; Nima Amjady; C. Y. Chung; Antonio J. Conejo. Transmission Expansion Planning Including TCSCs and SFCLs: A MINLP Approach. IEEE Transactions on Power Systems 2020, 35, 4396 -4407.

AMA Style

Masoud Esmaili, Mohammad Ghamsari-Yazdel, Nima Amjady, C. Y. Chung, Antonio J. Conejo. Transmission Expansion Planning Including TCSCs and SFCLs: A MINLP Approach. IEEE Transactions on Power Systems. 2020; 35 (6):4396-4407.

Chicago/Turabian Style

Masoud Esmaili; Mohammad Ghamsari-Yazdel; Nima Amjady; C. Y. Chung; Antonio J. Conejo. 2020. "Transmission Expansion Planning Including TCSCs and SFCLs: A MINLP Approach." IEEE Transactions on Power Systems 35, no. 6: 4396-4407.

Journal article
Published: 02 July 2019 in IEEE Transactions on Power Systems
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System Expansion Planning (SEP) models do not generally represent voltage levels, bundled conductors in transmission lines, and short-circuit limits. These modeling assumptions may result in suboptimal planning outcomes. To overcome this potential flaw, we propose a Short-Circuit constrained dynamic SEP (SC-SEP) that allows for investment decisions at different stages of the planning horizon and includes a detailed representation of voltage levels, alternative bundled conductor options per line and short-circuit limits. An effective linearization technique is used to transform the resulting mixed-integer nonlinear model into a mixed-integer linear one. The accuracy of the proposed model and the effectiveness of the proposed linearization technique are illustrated using the IEEE 39-bus system.

ACS Style

Masoud Esmaili; Mohammad Ghamsari-Yazdel; Nima Amjady; Antonio J. Conejo. Short-Circuit Constrained Power System Expansion Planning Considering Bundling and Voltage Levels of Lines. IEEE Transactions on Power Systems 2019, 35, 584 -593.

AMA Style

Masoud Esmaili, Mohammad Ghamsari-Yazdel, Nima Amjady, Antonio J. Conejo. Short-Circuit Constrained Power System Expansion Planning Considering Bundling and Voltage Levels of Lines. IEEE Transactions on Power Systems. 2019; 35 (1):584-593.

Chicago/Turabian Style

Masoud Esmaili; Mohammad Ghamsari-Yazdel; Nima Amjady; Antonio J. Conejo. 2019. "Short-Circuit Constrained Power System Expansion Planning Considering Bundling and Voltage Levels of Lines." IEEE Transactions on Power Systems 35, no. 1: 584-593.

Journal article
Published: 27 December 2018 in Electric Power Systems Research
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In this paper, a new method is proposed for security-oriented, optimal placement of phasor measurement units (PMUs) incorporating efficient observability redundancy. In this way, novel concepts in zero-injection buses (ZIBs) are introduced. The proposed concepts regard aspects of the ZIBs effect that have not yet been studied; thus, by applying this concept, maximum possible capacity of the ZIBs will be available for use. Therefore, the proposed method is capable of producing optimum possible results with tangibly higher ZIBs capacity usage and measurement redundancy levels than those reached in preceding works. In addition, the reliability of fragile areas monitoring from overvoltage viewpoint is enhanced. Considering the fact that complete synchronized network observability is undeniably significant for making control decision in critical conditions to avoid brownouts or blackouts, a novel practical framework is proposed based on backup observability concept in order to model branch outage in addition to PMU loss and channel failure. All proposed security models can be tested by practical, large-scale test systems such as Polish 2383- and 3375-bus. Also, in the case of branch outage, selective security criteria are considered so as to enhance security of network observability against cascading failures in electric power systems.

ACS Style

Mohammad Ghamsari-Yazdel; Hamid Reza Najafi; Nima Amjady. Novel notions of zero injection property of buses in optimal PMU location with efficient observability enhancement focusing on security concepts. Electric Power Systems Research 2018, 169, 24 -34.

AMA Style

Mohammad Ghamsari-Yazdel, Hamid Reza Najafi, Nima Amjady. Novel notions of zero injection property of buses in optimal PMU location with efficient observability enhancement focusing on security concepts. Electric Power Systems Research. 2018; 169 ():24-34.

Chicago/Turabian Style

Mohammad Ghamsari-Yazdel; Hamid Reza Najafi; Nima Amjady. 2018. "Novel notions of zero injection property of buses in optimal PMU location with efficient observability enhancement focusing on security concepts." Electric Power Systems Research 169, no. : 24-34.

Journal article
Published: 12 September 2018 in Energies
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This paper proposes the problem of decision making of an electric vehicle (EV) aggregator in a competitive market in the presence of different uncertain resources. In the proposed model, a bi-level problem is formulated where, in the upper-level, the objective of the aggregator is to maximize its expected profit through its interactions and, in the lower-level, the EV owners minimize their payments. Therefore, the objectives of the upper and the lower-level are contrary. To solve the obtained nonlinear bi-level program, Karush-Kuhn-Tucker (KKT) optimality conditions and strong duality are applied to transform the initial problem into a linear single-level problem. Moreover, to deal with various uncertainties, including market prices, EVs charge/discharge demands and the prices offered by rivals, a risk measurement tool is incorporated into the problem. The proposed model is finally applied to a test system and its effectiveness is evaluated. Simulation results show that the proposed approach has the potential to offer significant benefits to the aggregator and EV owners for better decision-making in an uncertain environment. During different situations, it is observed that with increasing risk-aversion factor, as the aggregator tries to hedge against volatilities, its purchases from day-ahead and negative balancing markets decreases significantly. However, the participation of EV aggregator in the positive balancing market increases accordingly to make more profit.

ACS Style

Homa Rashidizadeh-Kermani; Hamid Reza Najafi; Amjad Anvari-Moghaddam; Josep M. Guerrero. Optimal Decision-Making Strategy of an Electric Vehicle Aggregator in Short-Term Electricity Markets. Energies 2018, 11, 2413 .

AMA Style

Homa Rashidizadeh-Kermani, Hamid Reza Najafi, Amjad Anvari-Moghaddam, Josep M. Guerrero. Optimal Decision-Making Strategy of an Electric Vehicle Aggregator in Short-Term Electricity Markets. Energies. 2018; 11 (9):2413.

Chicago/Turabian Style

Homa Rashidizadeh-Kermani; Hamid Reza Najafi; Amjad Anvari-Moghaddam; Josep M. Guerrero. 2018. "Optimal Decision-Making Strategy of an Electric Vehicle Aggregator in Short-Term Electricity Markets." Energies 11, no. 9: 2413.

Research article
Published: 10 May 2018 in International Transactions on Electrical Energy Systems
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In this paper, a stochastic model for scheduling of AC security‐constrained unit commitment associated with demand response (DR) actions is developed in an islanded residential microgrid. The proposed model maximizes the expected profit of microgrid operator and minimizes the total customers' payments for electricity consumption under load and renewable energy sources uncertainties. In this regard, a stochastic dispatch model for responsive load is developed in order to investigate the effect of price‐based DR programs in a microgrid environment. In this scheme, customers are able to participate in real‐time price program with shifting and curtailing their responsive loads. A multi‐segment AC‐optimal power flow, which allows the voltage and reactive power to be considered directly, is also used to study the effects of DR participation on microgrid operation. The proposed AC security‐constrained unit commitment and DR scheduling problem is modeled as a mixed‐integer programming problem and is solved using the CPLEX solver in the general algebraic modeling system.

ACS Style

Mostafa Vahedipour-Dahraei; Hamid Reza Najafi; Amjad Anvari-Moghaddan; Josep Guerrero. Security-constrained unit commitment in AC microgrids considering stochastic price-based demand response and renewable generation. International Transactions on Electrical Energy Systems 2018, 28, e2596 .

AMA Style

Mostafa Vahedipour-Dahraei, Hamid Reza Najafi, Amjad Anvari-Moghaddan, Josep Guerrero. Security-constrained unit commitment in AC microgrids considering stochastic price-based demand response and renewable generation. International Transactions on Electrical Energy Systems. 2018; 28 (9):e2596.

Chicago/Turabian Style

Mostafa Vahedipour-Dahraei; Hamid Reza Najafi; Amjad Anvari-Moghaddan; Josep Guerrero. 2018. "Security-constrained unit commitment in AC microgrids considering stochastic price-based demand response and renewable generation." International Transactions on Electrical Energy Systems 28, no. 9: e2596.

Journal article
Published: 01 March 2018 in Journal of Renewable and Sustainable Energy
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Low inertia of distributed energy resources (DERs), high penetration levels of renewable energy sources (RESs), and load demand variations put the islanded microgrids' (MGs) security at the risk of instability. This paper proposes a two-stage stochastic model for coordination of DERs and responsive loads in islanded MGs with regard to voltage and frequency security constraints. Based on the proposed model, scheduling of the controllable units in both supply and demand sides is done in a way not only to maximize the expected profit of the MG operator (MGO) but also to minimize the energy payments of customers under the premise of security and stability of MG. An AC optimal power flow procedure is also used to study the operating condition of the system under uncertainties and to guarantee acceptable nodal voltages and system frequency under different scenarios. The proposed stochastic optimization model is then applied to a typical autonomous MG, and its effectiveness is demonstrated through different scenarios under uncertainties in load consumption and renewable energy resource (RES) productions. Simulation results demonstrate that customers' participation in DR programs has a significant effect on the system's performance in terms of voltage and frequency stability. Moreover, optimal coordination of DERs and responsive loads can increase the expected profit of MGO significantly. The effectiveness of the proposed scheduling approach is verified on an islanded MG test system over a 24-h period.

ACS Style

Mostafa Vahedipour-Dahraie; Hamid Reza Najafi; Amjad Anvari-Moghaddam; Josep M. Guerrero. Optimal scheduling of distributed energy resources and responsive loads in islanded microgrids considering voltage and frequency security constraints. Journal of Renewable and Sustainable Energy 2018, 10, 025903 .

AMA Style

Mostafa Vahedipour-Dahraie, Hamid Reza Najafi, Amjad Anvari-Moghaddam, Josep M. Guerrero. Optimal scheduling of distributed energy resources and responsive loads in islanded microgrids considering voltage and frequency security constraints. Journal of Renewable and Sustainable Energy. 2018; 10 (2):025903.

Chicago/Turabian Style

Mostafa Vahedipour-Dahraie; Hamid Reza Najafi; Amjad Anvari-Moghaddam; Josep M. Guerrero. 2018. "Optimal scheduling of distributed energy resources and responsive loads in islanded microgrids considering voltage and frequency security constraints." Journal of Renewable and Sustainable Energy 10, no. 2: 025903.

Journal article
Published: 24 October 2017 in Applied Sciences
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This paper proposes a stochastic bi-level decision-making model for an electric vehicle (EV) aggregator in a competitive environment. In this approach, the EV aggregator decides to participate in day-ahead (DA) and balancing markets, and provides energy price offers to the EV owners in order to maximize its expected profit. Moreover, from the EV owners’ viewpoint, energy procurement cost of their EVs should be minimized in an uncertain environment. In this study, the sources of uncertainty―including the EVs demand, DA and balancing prices and selling prices offered by rival aggregators―are modeled via stochastic programming. Therefore, a two-level problem is formulated here, in which the aggregator makes decisions in the upper level and the EV clients purchase energy to charge their EVs in the lower level. Then the obtained nonlinear bi-level framework is transformed into a single-level model using Karush–Kuhn–Tucker (KKT) optimality conditions. Strong duality is also applied to the problem to linearize the bilinear products. To deal with the unwilling effects of uncertain resources, a risk measurement is also applied in the proposed formulation. The performance of the proposed framework is assessed in a realistic case study and the results show that the proposed model would be effective for an EV aggregator decision-making problem in a competitive environment.

ACS Style

Homa Rashidizadeh-Kermani; Mostafa Vahedipour-Dahraie; Hamid Reza Najafi; Amjad Anvari-Moghaddam; Josep M. Guerrero. A Stochastic Bi-Level Scheduling Approach for the Participation of EV Aggregators in Competitive Electricity Markets. Applied Sciences 2017, 7, 1100 .

AMA Style

Homa Rashidizadeh-Kermani, Mostafa Vahedipour-Dahraie, Hamid Reza Najafi, Amjad Anvari-Moghaddam, Josep M. Guerrero. A Stochastic Bi-Level Scheduling Approach for the Participation of EV Aggregators in Competitive Electricity Markets. Applied Sciences. 2017; 7 (10):1100.

Chicago/Turabian Style

Homa Rashidizadeh-Kermani; Mostafa Vahedipour-Dahraie; Hamid Reza Najafi; Amjad Anvari-Moghaddam; Josep M. Guerrero. 2017. "A Stochastic Bi-Level Scheduling Approach for the Participation of EV Aggregators in Competitive Electricity Markets." Applied Sciences 7, no. 10: 1100.

Research article
Published: 17 October 2017 in IET Renewable Power Generation
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Increasing penetration of intermittent renewable energy sources and the development of advanced information give rise to questions on how responsive loads can be managed to optimise the use of resources and assets. In this context, demand response as a way for modifying the consumption pattern of customers can be effectively applied to balance the demand and supply in electricity networks. This study presents a novel stochastic model from a microgrid (MG) operator perspective for energy and reserve scheduling considering risk management strategy. It is assumed that the MG operator can procure energy from various sources, including local generating units and demand-side resources to serve the customers. The operator sells electricity to customers under real-time pricing scheme and the customers response to electricity prices by adjusting their loads to reduce consumption costs. The objective is to determine the optimal scheduling with considering risk aversion and system frequency security to maximise the expected profit of operator. To deal with various uncertainties, a risk-constrained two-stage stochastic programming model is proposed where the risk aversion of MG operator is modelled using conditional value at risk method. Extensive numerical results are shown to demonstrate the effectiveness of the proposed framework.

ACS Style

Mostafa Vahedipour‐Dahraie; Homa Rashidizadeh‐Kermani; Hamid Reza Najafi; Amjad Anvari‐Moghaddam; Josep M. Guerrero. Stochastic security and risk‐constrained scheduling for an autonomous microgrid with demand response and renewable energy resources. IET Renewable Power Generation 2017, 11, 1812 -1821.

AMA Style

Mostafa Vahedipour‐Dahraie, Homa Rashidizadeh‐Kermani, Hamid Reza Najafi, Amjad Anvari‐Moghaddam, Josep M. Guerrero. Stochastic security and risk‐constrained scheduling for an autonomous microgrid with demand response and renewable energy resources. IET Renewable Power Generation. 2017; 11 (14):1812-1821.

Chicago/Turabian Style

Mostafa Vahedipour‐Dahraie; Homa Rashidizadeh‐Kermani; Hamid Reza Najafi; Amjad Anvari‐Moghaddam; Josep M. Guerrero. 2017. "Stochastic security and risk‐constrained scheduling for an autonomous microgrid with demand response and renewable energy resources." IET Renewable Power Generation 11, no. 14: 1812-1821.

Journal article
Published: 24 May 2017 in Applied Sciences
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Increasing the penetration levels of renewable energy sources (RESs) in microgrids (MGs) may lead to frequency instability issues due to intermittent nature of RESs and low inertia of MG generating units. On the other hand, presence of electric vehicles (EVs), as new high-electricity- consuming appliances, can be a good opportunity to contribute in mitigating the frequency deviations and help the system stability. This paper proposes an optimal charging/discharging scheduling of EVs with the goal of improving frequency stability of MG during autonomous operating condition. To this end, an efficient approach is applied to reschedule the generating units considering the EVs owners’ behaviors. An EV power controller (EVPC) is also designed to determine charge and discharge process of EVs based on the forecasted day-ahead load and renewable generation profiles. The performance of the proposed strategy is tested in different operating scenarios and compared to those from non-optimized methodologies. Numerical simulations indicate that the MG performance improves considerably in terms of economy and stability using the proposed strategy.

ACS Style

Mostafa Vahedipour-Dahraie; Homa Rashidizaheh-Kermani; Hamid Reza Najafi; Amjad Anvari-Moghaddam; Josep M. Guerrero. Coordination of EVs Participation for Load Frequency Control in Isolated Microgrids. Applied Sciences 2017, 7, 539 .

AMA Style

Mostafa Vahedipour-Dahraie, Homa Rashidizaheh-Kermani, Hamid Reza Najafi, Amjad Anvari-Moghaddam, Josep M. Guerrero. Coordination of EVs Participation for Load Frequency Control in Isolated Microgrids. Applied Sciences. 2017; 7 (6):539.

Chicago/Turabian Style

Mostafa Vahedipour-Dahraie; Homa Rashidizaheh-Kermani; Hamid Reza Najafi; Amjad Anvari-Moghaddam; Josep M. Guerrero. 2017. "Coordination of EVs Participation for Load Frequency Control in Isolated Microgrids." Applied Sciences 7, no. 6: 539.

Journal article
Published: 11 April 2017 in Applied Sciences
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In recent deregulated power systems, demand response (DR) has become one of the most cost-effective and efficient solutions for smoothing the load profile when the system is under stress. By participating in DR programs, customers are able to change their energy consumption habits in response to energy price changes and get incentives in return. In this paper, we study the effect of various time-based rate (TBR) programs on the stochastic day-ahead energy and reserve scheduling in residential islanded microgrids (MGs). An effective approach is presented to schedule both energy and reserve in presence of renewable energy resources (RESs) and electric vehicles (EVs). An economic model of responsive load is also proposed on the basis of elasticity factor to model the behavior of customers participating in various DR programs. A two-stage stochastic programming model is developed accordingly to minimize the expected cost of MG under different TBR programs. To verify the effectiveness and applicability of the proposed approach, a number of simulations are performed under different scenarios using real data; and the impact of TBR-DR actions on energy and reserve scheduling are studied and compared subsequently.

ACS Style

Mostafa Vahedipour-Dahraie; Hamid Reza Najafi; Amjad Anvari-Moghaddam; Josep M. Guerrero. Study of the Effect of Time-Based Rate Demand Response Programs on Stochastic Day-Ahead Energy and Reserve Scheduling in Islanded Residential Microgrids. Applied Sciences 2017, 7, 378 .

AMA Style

Mostafa Vahedipour-Dahraie, Hamid Reza Najafi, Amjad Anvari-Moghaddam, Josep M. Guerrero. Study of the Effect of Time-Based Rate Demand Response Programs on Stochastic Day-Ahead Energy and Reserve Scheduling in Islanded Residential Microgrids. Applied Sciences. 2017; 7 (4):378.

Chicago/Turabian Style

Mostafa Vahedipour-Dahraie; Hamid Reza Najafi; Amjad Anvari-Moghaddam; Josep M. Guerrero. 2017. "Study of the Effect of Time-Based Rate Demand Response Programs on Stochastic Day-Ahead Energy and Reserve Scheduling in Islanded Residential Microgrids." Applied Sciences 7, no. 4: 378.

Conference paper
Published: 13 March 2017 in 2016 Iranian Conference on Renewable Energy & Distributed Generation (ICREDG)
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The penetration level of renewable energy resources such as wind and photovoltaic in power systems is increasing. The intermittent nature of such resources introduces challenges for frequency and voltage regulation. On the other hand, with increasing the presence of EVs in the future grids and their charging/discharging management can provide ancillary services, such as frequency regulation to the microgrid. In this paper, a new strategy for charging or discharging of EVs in the presence of renewable resources is proposed. In this strategy, with the application of day-ahead load and generation of renewables, a cost signal is obtained to manage EVs charging and discharging process. Based on this cost signal, EVs are encouraged to discharge their stored energy while the microgrid power reserve is low and they charge when the power reserve is high. Moreover, four modes are defined in a way that EVs respond to frequency deviations in both charging and discharging processes. The results show that the proposed strategy in decreasing the frequency deviations and improving the power reserve of the microgrid is successful.

ACS Style

Homa Rashidizadeh Kermani; Mostafa Vahedipour Dahraie; Hamid Reza Najafi. Frequency control of a microgrid including renewable resources with energy management of electric vehicles. 2016 Iranian Conference on Renewable Energy & Distributed Generation (ICREDG) 2017, 114 -118.

AMA Style

Homa Rashidizadeh Kermani, Mostafa Vahedipour Dahraie, Hamid Reza Najafi. Frequency control of a microgrid including renewable resources with energy management of electric vehicles. 2016 Iranian Conference on Renewable Energy & Distributed Generation (ICREDG). 2017; ():114-118.

Chicago/Turabian Style

Homa Rashidizadeh Kermani; Mostafa Vahedipour Dahraie; Hamid Reza Najafi. 2017. "Frequency control of a microgrid including renewable resources with energy management of electric vehicles." 2016 Iranian Conference on Renewable Energy & Distributed Generation (ICREDG) , no. : 114-118.

Conference paper
Published: 10 October 2016 in 2016 24th Iranian Conference on Electrical Engineering (ICEE)
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This paper investigates an energy management strategy to schedule charging/discharging of EVs in the microgrid. Presence of renewable resources such as wind turbine and photovoltaic in the microgrid and their intermittent nature causes that we use a special pattern to achieve buying/selling cost signal for EVs charging/discharging process. In order to reach this goal, a new method is proposed to obtain cost signal in order to manage charging/discharging of EVs. Based on this strategy, by the application of cost signal obtained from the prediction of renewable generation and day-ahead load, the exchanged power between EVs and microgrid is scheduled and consequently the power balance is kept in the microgrid. By using this strategy, the microgrid performance improves in comparison with that of with unscheduled charging/discharging process. The assessment of the microgrid in isolated mode shows that with the application of proposed scheme, the system has frequency stability. But results demonstrate that, in unscheduled scheme, the frequency instability occurs in some hours.

ACS Style

Mostafa Vahedipour Dahraie; Homa Rashidizadeh Kermani; Hamid Reza Najafi. A proposed strategy to manage charge/discharge of EVs in a microgrid including renewable resources. 2016 24th Iranian Conference on Electrical Engineering (ICEE) 2016, 649 -654.

AMA Style

Mostafa Vahedipour Dahraie, Homa Rashidizadeh Kermani, Hamid Reza Najafi. A proposed strategy to manage charge/discharge of EVs in a microgrid including renewable resources. 2016 24th Iranian Conference on Electrical Engineering (ICEE). 2016; ():649-654.

Chicago/Turabian Style

Mostafa Vahedipour Dahraie; Homa Rashidizadeh Kermani; Hamid Reza Najafi. 2016. "A proposed strategy to manage charge/discharge of EVs in a microgrid including renewable resources." 2016 24th Iranian Conference on Electrical Engineering (ICEE) , no. : 649-654.

Conference paper
Published: 01 April 2015 in 2015 20th Conference on Electrical Power Distribution Networks Conference (EPDC)
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Electrification of rural places is always a big challenge. Such regions are usually far from utility grid, so an autonomous microgrid is a proper option to increase the availability of electricity in those places. Since Sistan Va Baluchestan has windy and sunny weather, it is proposed to use an autonomous microgrid including photovoltaic (PV), wind turbine (WT) and diesel generator based on synchronous generator (SG) its rural places. In the proposed model, SG keeps balance between generation and demand as a backup unit. When PV and WT are able to supply the rural load, SG goes to stand by mode and While PV and WT are not able to supply the customers, SG generates. In this scheme, to keep frequency within its nominal value, a specific strategy is used. In this strategy, some Non-Critical Loads (N-CLs) which are able to adjust their consumption based on the frequency variation are used. The dominant characteristic of this model is to control frequency without any storage. Different scenarios are defined to assess the successful performance of the system.

ACS Style

Homa Rashidizadeh Kermani; Mostafa Vahedipour Dahraie; Hamid Reza Najafi. Evaluation of an autonomous microgrid for rural electrification in Zahedan, Sistan Va Baluchestan. 2015 20th Conference on Electrical Power Distribution Networks Conference (EPDC) 2015, 66 -71.

AMA Style

Homa Rashidizadeh Kermani, Mostafa Vahedipour Dahraie, Hamid Reza Najafi. Evaluation of an autonomous microgrid for rural electrification in Zahedan, Sistan Va Baluchestan. 2015 20th Conference on Electrical Power Distribution Networks Conference (EPDC). 2015; ():66-71.

Chicago/Turabian Style

Homa Rashidizadeh Kermani; Mostafa Vahedipour Dahraie; Hamid Reza Najafi. 2015. "Evaluation of an autonomous microgrid for rural electrification in Zahedan, Sistan Va Baluchestan." 2015 20th Conference on Electrical Power Distribution Networks Conference (EPDC) , no. : 66-71.