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Hossein Shayeghi
Energy Management Research Center, University of Mohaghegh Ardabili, Ardabil, Iran

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Journal article
Published: 03 June 2021 in Journal of Energy Storage
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Energy hub as a novel model which has provided more efficiency, flexibility, and reliability. Also, due to using different multi carriers as renewable and non-renewable sources and storage devices in energy hubs, optimal operation scheduling becomes more challenging. In this paper, the day-ahead scheduling of energy hub is studied in the presence of wind turbine, electrical, thermal, and a novel water-based storage called Pico hydel energy storage. A useful method using the Monte-Carlo and k-mines clustering method is developed to estimate the uncertainty associated with wind speed, load, and market price. On the other hand, Conditional Value at Risk and Second-Order Stochastic Dominance (SSD) method are applied as a risk-averse method. To find the best operation performance of energy hub, multiple objectives consist of economic, emission pollution, electrical, and load profile deviation are defined. As well, the demand response program for gas, electricity, water, and thermal are implemented to improve the energy hub performance. Mixed-integer non-linear program formulation for the day-ahead scheduling of energy hub has been solved by executing CPLEX solver of GAMS optimization software in five different cases. Simulation results show that the hub's operation cost and emission reduce up to 4.8% and 5.6% by implementing four objective functions in the presence of the Pico hydel energy storage and demand response programing.

ACS Style

Elham Mokaramian; Hossein Shayeghi; Farzad Sedaghati; Amin Safari. Four-Objective Optimal Scheduling of Energy Hub Using a Novel Energy Storage, Considering Reliability and Risk Indices. Journal of Energy Storage 2021, 40, 102731 .

AMA Style

Elham Mokaramian, Hossein Shayeghi, Farzad Sedaghati, Amin Safari. Four-Objective Optimal Scheduling of Energy Hub Using a Novel Energy Storage, Considering Reliability and Risk Indices. Journal of Energy Storage. 2021; 40 ():102731.

Chicago/Turabian Style

Elham Mokaramian; Hossein Shayeghi; Farzad Sedaghati; Amin Safari. 2021. "Four-Objective Optimal Scheduling of Energy Hub Using a Novel Energy Storage, Considering Reliability and Risk Indices." Journal of Energy Storage 40, no. : 102731.

Original research paper
Published: 27 May 2021 in IET Power Electronics
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This paper proposes a non-isolated dual-input DC-DC converter with high voltage rate recommended for hybrid renewable sources/energy storage applications. The suggested converter can transfer power between two different sources in different conditions and can also provide the required energy of the load at the desired voltage level. The output voltage can be improved by utilizing magnetic coupling and a super voltage lift circuit (SLVC). The maximum voltage through the semiconductors can be decreased by using the SLVC technique. In addition, the suggested converter can draw continuous input current from two input DC supplies that lead to an increase in the lifetime of the input supplies. Besides, there is soft-switching capability throughout the diodes, which leads to alleviate the reverse recovery losses and improve efficiency. To prove the performance of the suggested topology, the technical survey and mathematical analysis are carried out in the literature. A laboratory prototype with 20 and 12 V input DC supplies is prepared in this work to demonstrate the correctness of the recommenced converter operation.

ACS Style

Saeed Pourjafar; Hossein Shayeghi; Farzad Sedaghat; SeyedJalal SeyedShenava. A dual‐input DC‐DC structure with high voltage gain suggested for hybrid energy systems. IET Power Electronics 2021, 1 .

AMA Style

Saeed Pourjafar, Hossein Shayeghi, Farzad Sedaghat, SeyedJalal SeyedShenava. A dual‐input DC‐DC structure with high voltage gain suggested for hybrid energy systems. IET Power Electronics. 2021; ():1.

Chicago/Turabian Style

Saeed Pourjafar; Hossein Shayeghi; Farzad Sedaghat; SeyedJalal SeyedShenava. 2021. "A dual‐input DC‐DC structure with high voltage gain suggested for hybrid energy systems." IET Power Electronics , no. : 1.

Original research paper
Published: 13 May 2021 in IET Power Electronics
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This paper introduces a novel bidirectional multi‐port DC–DC converter recommended for electric vehicle applications. The proposed structure has three ports with bidirectional features which can be operated in both step‐up and step‐down modes. This converter can supply the load from two independent voltage sources and can obtain a high voltage conversion ratio in both step‐up and step‐down operations. The low voltage stress throughout the power switches, high efficiency, and low components count are the characteristics of the proposed topology. For demonstrating the proposed structure's performance, the principle of operation modes, steady‐state analysis, and comparison results with other similar works are provided. Finally, an experimental prototype is built with a 120 W power level at 50 kHz operating, which validates the suggested converter's effectiveness and bidirectional trait. The suggested converter's efficiency in boost and buck mode is obtained about 94.2% and 94.37%, respectively that makes this converter to be used in renewable energy systems and electric vehicles with hybrid energy sources.

ACS Style

Hossein Shayeghi; Saeed Pourjafar; Seyed Majid Hashemzadeh. A switching capacitor based multi‐port bidirectional DC–DC converter. IET Power Electronics 2021, 14, 1622 -1636.

AMA Style

Hossein Shayeghi, Saeed Pourjafar, Seyed Majid Hashemzadeh. A switching capacitor based multi‐port bidirectional DC–DC converter. IET Power Electronics. 2021; 14 (9):1622-1636.

Chicago/Turabian Style

Hossein Shayeghi; Saeed Pourjafar; Seyed Majid Hashemzadeh. 2021. "A switching capacitor based multi‐port bidirectional DC–DC converter." IET Power Electronics 14, no. 9: 1622-1636.

Journal article
Published: 10 May 2021 in International Journal of Electrical Power & Energy Systems
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In this paper, the applicability of Microgrids (MGs) is reviewed for power system resilience against low-probability high-impact (LPHI) events. Financial issues have been always one of the major priorities in the scheduling of MGs. Although these systems can feed their loads in islanding mode, resilient operation of them under critical situations caused by LPHI events is a challenging problem. Improving resilience increases MG costs, therefore it is necessary to establish a trade-off between resilience and economic metrics. Therefore, the main purpose of this paper is to develop a novel multi-objective resilience-economic stochastic MG scheduling model. The proposed bi-level resilience-oriented stochastic scheduling integrates the economic perspective along with resilience function simultaneously using a multi-objective mixed-integer linear programming approach. The considered MG resilience function includes various metrics such as the ability to withstand, quick recovery, and the technical criteria in the face of low-probability high-impact events. The proposed method is tested on the modified IEEE 33-bus power system with a set of distributed energy resources, energy storage systems, and electric vehicle parking lots. The results outlined that, although, the integration of the resilience metrics in the MG scheduling problem has increased the operation cost of the MG approximately 25%, but improved the MG resilience more than 70%. On the other hand, the proper management of the independent distributed energy resources enhanced the resilience of the MG approximately 16% while decreased the operation cost of the MG by at least 28%.

ACS Style

Abdollah Younesi; Hossein Shayeghi; Pierluigi Siano; Amin Safari. A multi-objective resilience-economic stochastic scheduling method for microgrid. International Journal of Electrical Power & Energy Systems 2021, 131, 106974 .

AMA Style

Abdollah Younesi, Hossein Shayeghi, Pierluigi Siano, Amin Safari. A multi-objective resilience-economic stochastic scheduling method for microgrid. International Journal of Electrical Power & Energy Systems. 2021; 131 ():106974.

Chicago/Turabian Style

Abdollah Younesi; Hossein Shayeghi; Pierluigi Siano; Amin Safari. 2021. "A multi-objective resilience-economic stochastic scheduling method for microgrid." International Journal of Electrical Power & Energy Systems 131, no. : 106974.

Original research paper
Published: 02 May 2021 in IET Power Electronics
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This paper introduces a new DC–DC structure with a high voltage gain. The proposed structure can achieve higher voltage gain by using magnetic coupling and voltage multiplier circuit (VMC). The VMC is also used as a clamp circuit to suppress the voltage spike through the switch which leads to increase the overall system efficiency. Moreover, the peak voltage through the semiconductors of the proposed converter is low. The existence of soft‐switching such as zero‐current switching (ZCS) in OFF‐state and zero‐voltage switching (ZVS) in ON‐state of diodes is another merit of the proposed converter. The recommended structure uses one power MOSFET with low on‐state resistance (RDS‐ON) that leads to decrease the conduction loss. For demonstrating the proficiency of the proposed structure, technical analysis, mathematical survey, and comparison results with other similar previous structures are carried out. Finally, laboratory results with 200 W output power and 50 kHz switching frequency are provided, which prove the usefulness of the suggested converter. The proposed converter's efficiency in 200 W output power is 96.98 %. Also, the voltage gain, maximum voltage stress across the power switch and didoes for n (turn‐ratio) = 2 and D (duty‐cycle) = 0.6 are equal to 10, 0.25, and 0.75, respectively.

ACS Style

Saeed Pourjafar; Hossien Shayeghi; Seyed Majid Hashemzadeh; Farzad Sedaghati; Mohammad Maalandish. A non‐isolated high step‐up DC–DC converter using magnetic coupling and voltage multiplier circuit. IET Power Electronics 2021, 14, 1637 -1655.

AMA Style

Saeed Pourjafar, Hossien Shayeghi, Seyed Majid Hashemzadeh, Farzad Sedaghati, Mohammad Maalandish. A non‐isolated high step‐up DC–DC converter using magnetic coupling and voltage multiplier circuit. IET Power Electronics. 2021; 14 (9):1637-1655.

Chicago/Turabian Style

Saeed Pourjafar; Hossien Shayeghi; Seyed Majid Hashemzadeh; Farzad Sedaghati; Mohammad Maalandish. 2021. "A non‐isolated high step‐up DC–DC converter using magnetic coupling and voltage multiplier circuit." IET Power Electronics 14, no. 9: 1637-1655.

Chapter
Published: 23 March 2021 in Numerical Methods for Energy Applications
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Energy systems in the past alone were providing consumer's needs, and their management did independently. By industrialization of the lifestyle and high dependence of human societies into energy and on the other hand, a lack of fossil resources, system exploitation seeks to use multi-carrier energy to meet the needs of their consumer's needs. Therefore, the use of multi-carrier systems with the advancement of technology became possible to increase the reliability of the system in the presence of different energy sources. Of course, the critical and challenging issue in it is the way of managing these systems on a large scale. The concept of an energy hub, which is like a virtual box including production, conversion, storage, and consumption of various carriers, has been introduced and the high potential for the operation of multi-carrier systems and optimal management of them possess. This chapter aims to introduce a comprehensive energy hub and its application in the management of multi-carrier systems and express its advantages in preserving the existing resources for posterity alongside the increasing demand for consumers with the lowest cost of operation without limitation its size. Energy hub is used in various sectors such as commercial, industrial, and even agricultural, and can integrate with the integration of these small network hubs from Micro Hub, which are called Macro hub. Moreover, the management of these hubs has dealt with detail.

ACS Style

Hossein Shayeghi; Amir Mohammad Moghaddam. Advanced Energy Systems Based on Energy Hub Concept. Numerical Methods for Energy Applications 2021, 261 -283.

AMA Style

Hossein Shayeghi, Amir Mohammad Moghaddam. Advanced Energy Systems Based on Energy Hub Concept. Numerical Methods for Energy Applications. 2021; ():261-283.

Chicago/Turabian Style

Hossein Shayeghi; Amir Mohammad Moghaddam. 2021. "Advanced Energy Systems Based on Energy Hub Concept." Numerical Methods for Energy Applications , no. : 261-283.

Chapter
Published: 23 March 2021 in Numerical Methods for Energy Applications
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In the last years, smart homes have been introduced for improving the lifestyle of people. The energy system of a smart home is similar to the power network because both consumer and producer types of devices exist in the smart home. This complexity causes that manually managing the smart home becomes more difficult than a traditional home. Knowing the energy system of the smart home and automatically managing of its devices are important in increasing the efficiency of the smart home and the welfare of consumers. For this reason, analytical and mathematical modeling of devices of the smart home is investigated in this chapter. Modeling of the producer and consumer devices of the smart home’s energy system is presented analytically and mathematically. Moreover, an optimization algorithm is also presented to ponder the proposed model of the power system and select the optimal schedule of devices for having the highest operation of the energy system of smart homes. A technical-economic objective function is considered for finding the best schedule of devices. Ultimately, the proposed method is simulated in a sample smart home for evaluating the model of devices and energy system. Ultimately, the efficiency of the proposed energy system of the smart home is pondered based on the simulation results.

ACS Style

Hossein Shayeghi; Masoud Alilou. Modeling of Energy Systems for Smart Homes. Numerical Methods for Energy Applications 2021, 317 -340.

AMA Style

Hossein Shayeghi, Masoud Alilou. Modeling of Energy Systems for Smart Homes. Numerical Methods for Energy Applications. 2021; ():317-340.

Chicago/Turabian Style

Hossein Shayeghi; Masoud Alilou. 2021. "Modeling of Energy Systems for Smart Homes." Numerical Methods for Energy Applications , no. : 317-340.

Original paper
Published: 18 March 2021 in International Journal of Circuit Theory and Applications
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This paper presents a novel bidirectional multiport DC‐DC converter for the electrical vehicles with hybrid energy sources. The benefits of the suggested converter are high voltage conversion ratio and high efficiency, simple structure, low voltage stress across the semiconductor elements, low number of components, and common ground features. It has two bidirectional ports, which are suitable for energy storage systems (ESS) such as a battery. Due to the step‐up and step‐down operations of the proposed converter, it can charge and discharge the ESS. Additionally, only two power switches with low ON‐state resistance are utilized that make the control circuit to be simple. Furthermore, the suggested converter has low number of component, which leads to decrease its volume and cost. The operation principle in buck and boost mode is analyzed thoroughly. Finally, to verify the analysis and effectiveness of the proposed structure, a laboratory prototype is built with 12‐ and 20‐V input voltages and a power rating of 120 W used in 50‐kHz operating frequency.

ACS Style

Saeed Pourjafar; Hossein Shayeghi; Farzad Sedaghati; SeyedJalal Seyedshenava; Frede Blaabjerg. A bidirectional multiport DC‐DC converter applied for energy storage system with hybrid energy sources. International Journal of Circuit Theory and Applications 2021, 1 .

AMA Style

Saeed Pourjafar, Hossein Shayeghi, Farzad Sedaghati, SeyedJalal Seyedshenava, Frede Blaabjerg. A bidirectional multiport DC‐DC converter applied for energy storage system with hybrid energy sources. International Journal of Circuit Theory and Applications. 2021; ():1.

Chicago/Turabian Style

Saeed Pourjafar; Hossein Shayeghi; Farzad Sedaghati; SeyedJalal Seyedshenava; Frede Blaabjerg. 2021. "A bidirectional multiport DC‐DC converter applied for energy storage system with hybrid energy sources." International Journal of Circuit Theory and Applications , no. : 1.

Original research paper
Published: 16 March 2021 in IET Renewable Power Generation
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This study presents the optimal model of the coordinated flexible energy and self‐healing management (C‐FE&SH‐M) in the active distribution network (ADN) including renewable energy sources (RESs), electric vehicles (EVs) and demand response program (DRP).The flexible energy management (FEM) is extracted using coordination between the RESs, EVs and DRP. The self‐healing method (SHM) is related to multi‐agent system‐based restoration process (MAS‐based RP) that finds the optimal restoration pattern at the fault condition according to the different zone agents (ZAs) distributing along with the network. This method minimizes the difference between energy cost and flexibility benefit related to the FEM part and difference between the number of switching operation and priority loads restored based on the SHM part. Also, this problem subjects to power flow equations, RESs and active loads constraints, restoration process formulation and system operation limits. Stochastic programming is used to model the uncertainty of loads, energy prices, RESs and EVs. Hereupon, the suggested strategy is implemented on the 33‐bus radial distribution network and it is solved by the crow search algorithm (CSA). Ultimately, the obtained results imply the high flexibility and security of the operation, incorporating the proposed strategy, and delineate the optimal restoration scheme for the ADN.

ACS Style

Leila Bagherzadeh; Hossein Shayeghi; Sasan Pirouzi; Miadreza Shafie‐Khah; João P. S. Catalão. Coordinated flexible energy and self‐healing management according to the multi‐agent system‐based restoration scheme in active distribution network. IET Renewable Power Generation 2021, 15, 1765 -1777.

AMA Style

Leila Bagherzadeh, Hossein Shayeghi, Sasan Pirouzi, Miadreza Shafie‐Khah, João P. S. Catalão. Coordinated flexible energy and self‐healing management according to the multi‐agent system‐based restoration scheme in active distribution network. IET Renewable Power Generation. 2021; 15 (8):1765-1777.

Chicago/Turabian Style

Leila Bagherzadeh; Hossein Shayeghi; Sasan Pirouzi; Miadreza Shafie‐Khah; João P. S. Catalão. 2021. "Coordinated flexible energy and self‐healing management according to the multi‐agent system‐based restoration scheme in active distribution network." IET Renewable Power Generation 15, no. 8: 1765-1777.

Journal article
Published: 21 January 2021 in IEEE Access
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This article deals with the stochastic scheduling of a microgrid (MG) to balance the economical and resilience metrics. In the proposed model, the MG resilience indices are integrated into the economic criteria to ensure the resilience of MG operation alongside the main MG actors’ profit/loss. The MG fragility index, recovery efficiency index, MG voltage index, and lost load index are considered in the proposed planning model. Further, to make the results more realistic, the uncertainties associated with energy price and wind production, alongside with planning of energy storage systems and electric vehicles parking lots are considered. To achieve a better solution for the security-constraint operation of MG, AC network equations are included in the system modeling. Finally, a large-scale MG based on the IEEE-33 bus testbed is utilized to evaluate the effectiveness of the proposed stochastic scheduling program.

ACS Style

Abdollah Younesi; Hossein Shayeghi; Pierluigi Siano; Amin Safari; Hassan Haes Alhelou. Enhancing the Resilience of Operational Microgrids Through a Two-Stage Scheduling Strategy Considering the Impact of Uncertainties. IEEE Access 2021, 9, 18454 -18464.

AMA Style

Abdollah Younesi, Hossein Shayeghi, Pierluigi Siano, Amin Safari, Hassan Haes Alhelou. Enhancing the Resilience of Operational Microgrids Through a Two-Stage Scheduling Strategy Considering the Impact of Uncertainties. IEEE Access. 2021; 9 ():18454-18464.

Chicago/Turabian Style

Abdollah Younesi; Hossein Shayeghi; Pierluigi Siano; Amin Safari; Hassan Haes Alhelou. 2021. "Enhancing the Resilience of Operational Microgrids Through a Two-Stage Scheduling Strategy Considering the Impact of Uncertainties." IEEE Access 9, no. : 18454-18464.

Original paper
Published: 03 January 2021 in Electrical Engineering
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Smart homes are one of the effective parts of a smart grid. A residential smart grid operates properly when each of smart homes is managed appropriately. The energy management system of a home has to simultaneously manage the operational time of appliances and how to use the energy of an electric vehicle and home renewable distributed generation units like a wind turbine. So, the energy management of smart homes in a residential smart grid is studied in this paper. The wind turbine is considered as the energy source of the smart home while the electric vehicle can operate as a producer/consumer unit in discharge/charge mode. The uncertainty model of wind turbine and electric vehicles are also considered in the proposed method for energy managing. The real-time pricing tariff is utilized for applying the demand response program. The electricity cost of consumers and the peak to average rate of demand are formulated to achieve the best schedule of devices of smart homes. Multi-objective dragonfly algorithm is utilized for optimizing the technical and economic objective functions. After finding the optimal Pareto front, the analytical hierarchy process method is used to select the best operational schedule of smart homes. The proposed method is evaluated in a sample smart grid. Numerical results show that the proposed management method has considerable efficiency in improving the performance of the smart grid.

ACS Style

Masoud Alilou; Behrouz Tousi; Hossein Shayeghi. Multi-objective energy management of smart homes considering uncertainty in wind power forecasting. Electrical Engineering 2021, 103, 1367 -1383.

AMA Style

Masoud Alilou, Behrouz Tousi, Hossein Shayeghi. Multi-objective energy management of smart homes considering uncertainty in wind power forecasting. Electrical Engineering. 2021; 103 (3):1367-1383.

Chicago/Turabian Style

Masoud Alilou; Behrouz Tousi; Hossein Shayeghi. 2021. "Multi-objective energy management of smart homes considering uncertainty in wind power forecasting." Electrical Engineering 103, no. 3: 1367-1383.

Original paper
Published: 30 December 2020 in International Journal of Circuit Theory and Applications
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This work proposes a kind of DC–DC topology with a higher voltage conversion ratio. The suggested converter utilizes a coupled inductor and a voltage multiplier cell to enhance the voltage conversion ratio. The voltage multiplier cell has the feature of the clamping circuit, which can decrease the maximum voltage of the semiconductors elements. In the presented structure, only one lower ON‐state resistance (RDS‐ON) power switch is utilized that makes the control circuit to be simple. The proposed converter has soft‐switching features such as zero‐current switching (ZCS) and zero voltage switching (ZVS) that lead to decrease the diodes reverse recovery losses and increase the efficiency. Besides, the ripple value of the input current is lower than the other similar works. The high efficiency and low input current ripple make the suggested converter suitable for photovoltaic (PV) applications. In order to approve the technical analysis of the recommended structure, technical investigations and comparison study with some similar structures are carried out. Finally, for demonstrating the advantages of the presented structure, a laboratory circuit is built with 12‐V DC source voltage, 120‐V load voltage, and power rate of 100 W in 50‐kHz operation frequency.

ACS Style

Hossein Shayeghi; Saeed Pourjafar; Seyed Majid Hashemzadeh; Frede Blaabjerg. A high efficiency soft‐switched DC–DC converter with high voltage conversion ratio. International Journal of Circuit Theory and Applications 2020, 49, 244 -266.

AMA Style

Hossein Shayeghi, Saeed Pourjafar, Seyed Majid Hashemzadeh, Frede Blaabjerg. A high efficiency soft‐switched DC–DC converter with high voltage conversion ratio. International Journal of Circuit Theory and Applications. 2020; 49 (2):244-266.

Chicago/Turabian Style

Hossein Shayeghi; Saeed Pourjafar; Seyed Majid Hashemzadeh; Frede Blaabjerg. 2020. "A high efficiency soft‐switched DC–DC converter with high voltage conversion ratio." International Journal of Circuit Theory and Applications 49, no. 2: 244-266.

Journal article
Published: 07 November 2020 in Solar Energy
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Implementing demand side management programs in a residential area causes to increase the role of consumers in managing the total power network. Moreover, the owner of the smart home can reduce energy dependence on the power network and also his electricity bill by using optimal managing the operational schedule of home appliances and available generated power of renewable distributed generation and electric vehicle. In this paper, a new multi-objective scheduling method based on intelligent algorithms is utilized for energy managing in smart homes of a residential micro grid. Home appliances, rooftop photovoltaic panel and plug-in hybrid electric vehicle are schedulable devices of each smart home. Photovoltaic and electric vehicle uncertainties are also considered. The combination algorithm of the multi-objective dragonfly algorithm and analytical hierarchy process method is used for optimizing the techno-economic objective function and finding the best schedule of devices. Real-time pricing tariff is considered as the price-based demand response program. For evaluating the efficiency of the proposed method, it is applied to a smart micro grid with 20-smart home. The numerical result demonstrates the appropriate performance of the proposed home energy management method in reducing the electricity bill of smart homes and peak demand of the residential smart micro grid.

ACS Style

Masoud Alilou; Behrouz Tousi; Hossein Shayeghi. Home energy management in a residential smart micro grid under stochastic penetration of solar panels and electric vehicles. Solar Energy 2020, 212, 6 -18.

AMA Style

Masoud Alilou, Behrouz Tousi, Hossein Shayeghi. Home energy management in a residential smart micro grid under stochastic penetration of solar panels and electric vehicles. Solar Energy. 2020; 212 ():6-18.

Chicago/Turabian Style

Masoud Alilou; Behrouz Tousi; Hossein Shayeghi. 2020. "Home energy management in a residential smart micro grid under stochastic penetration of solar panels and electric vehicles." Solar Energy 212, no. : 6-18.

Research article
Published: 20 October 2020 in IET Power Electronics
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This work introduces a novel non-isolated boost DC–DC converter with high-voltage gain and high efficiency. The magnetic coupling and voltage lift circuit technique has been utilised to enhance the voltage conversion ratio. In order to decrease the peak voltage across the active switch, the voltage lift circuit acts as a clamp circuit. The zero current switching in the OFF-state and the zero voltage switching in the ON-state of diodes are other advantages of the suggested converter which leads to approach high efficiency by decreasing the conduction losses. In addition, only one power metal–oxide–semiconductor field-effect transistor with lower ON-state resistance is employed, which can provide the simple control circuit of the proposed topology. For demonstrating the performance of the proposed structure, the principle of operation modes and comparison results with other previous works is carried out. Finally, experimental results with a 200 W power level at 25 kHz operating frequency are prepared, which validate the usefulness of the proposed converter.

ACS Style

Hossein Shayeghi; Saeed Pourjafar; Mohammad Maalandish; Soheil Nouri. Non‐isolated DC–DC converter with a high‐voltage conversion ratio. IET Power Electronics 2020, 13, 3797 -3806.

AMA Style

Hossein Shayeghi, Saeed Pourjafar, Mohammad Maalandish, Soheil Nouri. Non‐isolated DC–DC converter with a high‐voltage conversion ratio. IET Power Electronics. 2020; 13 (16):3797-3806.

Chicago/Turabian Style

Hossein Shayeghi; Saeed Pourjafar; Mohammad Maalandish; Soheil Nouri. 2020. "Non‐isolated DC–DC converter with a high‐voltage conversion ratio." IET Power Electronics 13, no. 16: 3797-3806.

Research article
Published: 15 September 2020 in International Transactions on Electrical Energy Systems
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Although smart homes play an important role in implementing demand‐side management programs, the concept is currently faced with challenges in hourly scheduling of devices, because it is difficult for consumers to manually control appliances based on time‐varying prices and the power produced by local energy sources. Thus, the operating schedule of home appliances, renewable energy sources, and electric vehicles is optimized using a home energy management system in this paper. A price‐based demand response program is utilized for operational scheduling. Renewable energy resources and electric vehicle uncertainties as well as the hourly variation of solar irradiance and wind power are also taken into account. To achieve the best plan of devices operation, a technical‐economic formulation is developed for HEM problem, and the multi‐objective dragonfly algorithm is used for its optimization. The decision‐aid approach is adopted for choosing the best compromise solution, that is, selecting the best operational schedule of home appliances from the Pareto front. Numerical simulations illustrated the proper performance of the proposed method in finding the best schedule of home devices and improving the operation indices of the smart home.

ACS Style

Masoud Alilou; Behrouz Tousi; Hossein Shayeghi. Multi‐objective unit and load commitment in smart homes considering uncertainties. International Transactions on Electrical Energy Systems 2020, 30, 1 .

AMA Style

Masoud Alilou, Behrouz Tousi, Hossein Shayeghi. Multi‐objective unit and load commitment in smart homes considering uncertainties. International Transactions on Electrical Energy Systems. 2020; 30 (11):1.

Chicago/Turabian Style

Masoud Alilou; Behrouz Tousi; Hossein Shayeghi. 2020. "Multi‐objective unit and load commitment in smart homes considering uncertainties." International Transactions on Electrical Energy Systems 30, no. 11: 1.

Journal article
Published: 17 August 2020 in International Journal of Electrical Power & Energy Systems
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This paper presents an effective hybrid supercapacitor-battery energy storage system (SC-BESS) for the active power management in a wind-diesel system using a fuzzy type distributed control system (DCS) to optimally regulate the system transient. It addresses a new online intelligent approach by using a combination of the fuzzy logic and DCS based on the particle swarm optimization techniques for optimal tuning and reduce the design effort of the control system. This mechanism combines the features of online fuzzy theory and distributed control system (DOFCS), which has a flexible structure. The proposed energy management algorithm for the hybrid SC-BESS is well able to repel the peak-impact of the battery storage system during the wind speed and load changes. The high performance of the suggested methodology is represented on a typical wind-diesel test system.

ACS Style

H. Shayeghi; F. Monfaredi; A. Dejamkhooy; M. Shafie-Khah; J.P.S. Catalão. Assessing hybrid supercapacitor-battery energy storage for active power management in a wind-diesel system. International Journal of Electrical Power & Energy Systems 2020, 125, 106391 .

AMA Style

H. Shayeghi, F. Monfaredi, A. Dejamkhooy, M. Shafie-Khah, J.P.S. Catalão. Assessing hybrid supercapacitor-battery energy storage for active power management in a wind-diesel system. International Journal of Electrical Power & Energy Systems. 2020; 125 ():106391.

Chicago/Turabian Style

H. Shayeghi; F. Monfaredi; A. Dejamkhooy; M. Shafie-Khah; J.P.S. Catalão. 2020. "Assessing hybrid supercapacitor-battery energy storage for active power management in a wind-diesel system." International Journal of Electrical Power & Energy Systems 125, no. : 106391.

Journal article
Published: 06 July 2020 in Energy
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The primary objective of this paper is to assess the resilience of a large-scale multi-microgrid based power system to cope with the wide-area natural disasters with severe destructive effects. The proposed resilience assessment method is quantitative and reflects various aspects of power system such as the fragility and uncertainties along with disaster characteristics such as the type and severity. In addition, it is comparable for different power systems and can be used in decision-making by power system operators and planners for future contingency planning and upgrade schemes. The impact of multiple-microgrids is entered in the formulations using the calculation of discrete-time multi-state transition model of the power system in response to an extreme event. The tiN−1me-homogeneous Markov chain is considered to determine the probability of system states (normal, microgrid, and emergency) using the time-independent transition matrix. In order to numerically assess the proposed resilience measure, IEEE 30-bus test case and Iceland 189-bus power system are used and simulations are continued by generating 10000 scenarios considering different event type, severity level and location upon the power system. Finally, Monte Carlo Simulation is used for calculating the resilience metrics.

ACS Style

Abdollah Younesi; Hossein Shayeghi; Amin Safari; Pierluigi Siano. Assessing the resilience of multi microgrid based widespread power systems against natural disasters using Monte Carlo Simulation. Energy 2020, 207, 118220 .

AMA Style

Abdollah Younesi, Hossein Shayeghi, Amin Safari, Pierluigi Siano. Assessing the resilience of multi microgrid based widespread power systems against natural disasters using Monte Carlo Simulation. Energy. 2020; 207 ():118220.

Chicago/Turabian Style

Abdollah Younesi; Hossein Shayeghi; Amin Safari; Pierluigi Siano. 2020. "Assessing the resilience of multi microgrid based widespread power systems against natural disasters using Monte Carlo Simulation." Energy 207, no. : 118220.

Journal article
Published: 03 July 2020 in IEEE Systems Journal
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A framework for quantitative evaluation of the power system resilience considering multimicrogids effects is proposed in this article. The main contribution of the proposed approach is that it incorporates various features underlined in the concept of the power system resilience, such as loss of load probability, expected demand not supplied, system fragility, system recovery difficulties, and system adaption ability after experiencing a destructive event. In addition to the power system aspects, the proposed resilience framework employs the type and severity of natural disasters to achieve realistic results. To model the impact of multiple-microgrids, at first, the discrete-time multistate transition model of the power system under an extreme event is obtained. Then the probability of system states (normal, microgrid, and emergency) is calculated using the time-independent transition matrix and according to the time-homogeneous Markov chain. The effectiveness of the proposed method is tested on the IEEE 30-bus test case and real electricity network of Great Britain in five episodes each with 2000 scenarios.

ACS Style

Abdollah Younesi; Hossein Shayeghi; Amin Safari; Pierluigi Siano. A Quantitative Resilience Measure Framework for Power Systems Against Wide-Area Extreme Events. IEEE Systems Journal 2020, 15, 915 -922.

AMA Style

Abdollah Younesi, Hossein Shayeghi, Amin Safari, Pierluigi Siano. A Quantitative Resilience Measure Framework for Power Systems Against Wide-Area Extreme Events. IEEE Systems Journal. 2020; 15 (1):915-922.

Chicago/Turabian Style

Abdollah Younesi; Hossein Shayeghi; Amin Safari; Pierluigi Siano. 2020. "A Quantitative Resilience Measure Framework for Power Systems Against Wide-Area Extreme Events." IEEE Systems Journal 15, no. 1: 915-922.

Journal article
Published: 08 March 2020 in Energies
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The main purpose of this paper is to present a novel algorithmic reinforcement learning (RL) method for damping the voltage and frequency oscillations in a micro-grid (MG) with penetration of wind turbine generators (WTG). First, the continuous-time environment of the system is discretized to a definite number of states to form the Markov decision process (MDP). To solve the modeled discrete RL-based problem, Q-learning method, which is a model-free and simple iterative solution mechanism is used. Therefore, the presented control strategy is adaptive and it is suitable for the realistic power systems with high nonlinearities. The proposed adaptive RL controller has a supervisory nature that can improve the performance of any kind of controllers by adding an offset signal to the output control signal of them. Here, a part of Denmark distribution system is considered and the dynamic performance of the suggested control mechanism is evaluated and compared with fuzzy-proportional integral derivative (PID) and classical PID controllers. Simulations are carried out in two realistic and challenging scenarios considering system parameters changing. Results indicate that the proposed control strategy has an excellent dynamic response compared to fuzzy-PID and traditional PID controllers for damping the voltage and frequency oscillations.

ACS Style

Abdollah Younesi; Hossein Shayeghi; Pierluigi Siano. Assessing the Use of Reinforcement Learning for Integrated Voltage/Frequency Control in AC Microgrids. Energies 2020, 13, 1250 .

AMA Style

Abdollah Younesi, Hossein Shayeghi, Pierluigi Siano. Assessing the Use of Reinforcement Learning for Integrated Voltage/Frequency Control in AC Microgrids. Energies. 2020; 13 (5):1250.

Chicago/Turabian Style

Abdollah Younesi; Hossein Shayeghi; Pierluigi Siano. 2020. "Assessing the Use of Reinforcement Learning for Integrated Voltage/Frequency Control in AC Microgrids." Energies 13, no. 5: 1250.

Research article
Published: 04 December 2019 in International Transactions on Electrical Energy Systems
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The aim of this paper is to improve power quality in a multimicrogrid (MMG) with high penetration of various distributed generators in island and interconnected mode using an improved custom power device called distributed power condition controller (DPCC). The DPCC is an improved, low‐cost, reliable combined custom power device to compensate simultaneously the voltage drop, harmonic distortions, and feeder losses in the MMG, which includes the verity of nonlinear source. It has great market potential and has been selected as the solution for more specific applications. The capability of the DPCC is increased by discrete fuzzy‐based PI controller. In addition, the power injection model of DPCC is presented. Two different case studies corresponding to the island mode and high penetration of renewable generation and nonlinear load in connected mode are considered. According to theoretical studies and simulation results, DPCC successfully improves power quality of the MMGs.

ACS Style

Mehran Esmaeili; Hossein Shayeghi; Khalil Valipour; Amin Safari; Farzad Sedaghati. Power quality improvement of multimicrogrid using improved custom power device called as distributed power condition controller. International Transactions on Electrical Energy Systems 2019, 30, 1 .

AMA Style

Mehran Esmaeili, Hossein Shayeghi, Khalil Valipour, Amin Safari, Farzad Sedaghati. Power quality improvement of multimicrogrid using improved custom power device called as distributed power condition controller. International Transactions on Electrical Energy Systems. 2019; 30 (3):1.

Chicago/Turabian Style

Mehran Esmaeili; Hossein Shayeghi; Khalil Valipour; Amin Safari; Farzad Sedaghati. 2019. "Power quality improvement of multimicrogrid using improved custom power device called as distributed power condition controller." International Transactions on Electrical Energy Systems 30, no. 3: 1.