OPTIMAL MULTI-OBJECTIVE DEVELOPMENT SCHEDULING OF ELECTRIC VEHICLES IN DISTRIBUTION NETWORK USING PARTICLE SWARM OPTIMIZATION

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GOROOHI SARDOU IMAN

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Journal: COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING) Year:2018 | Volume:9 | Issue:2 Page(s): 55-64

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Title

OPTIMAL MULTI-OBJECTIVE DEVELOPMENT SCHEDULING OF ELECTRIC VEHICLES IN DISTRIBUTION NETWORK USING PARTICLE SWARM OPTIMIZATION

Author(s)

GOROOHI SARDOU IMAN | Issue Writer Certificate

Keywords

PARTICLE SWARM OPTIMIZATIONQ1

ELECTRIC VEHICLE DEVELOPMENT PLANNINGQ1

DISTRIBUTION NETWORK OPERATIONQ1

PARKING LOTS OF ELECTRIC VEHICLESQ1

Abstract

The use of the electric energy stored in batteries of electric vehicles connected to the grid (V2G) will play a significant role in the development of distribution systems in the future.Electric vehicles (EVs) are able to charge during base load hours and inject energy into the grid during peak hours. Besides, the grid-connected EVs increase the system reliability under the outages. In this paper, PARTICLE SWARM OPTIMIZATION (PSO) algorithm is employed to solve the multi-objective problem of development scheduling of electric vehicles in the distribution network. e-constraint method is employed to solve the proposed multi-objective problem.Besides, a fuzzy decision making approach is employed to determine the most compromise solution among the Pareto solutions obtained by the solving the sub-problems generated by the e-constraint method. Decision variables include the location, and charge and discharge capacity of the smart parking lots of the EVs. IEEE 54-bus distribution test system is employed as the studied test network. Operation costs of the distribution network are compared in both states of with or without EVs. The results demonstrate the effectiveness of the proposed method for EVs’ development scheduling in the distribution network.

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APA: Copy

GOROOHI SARDOU, IMAN. (2018). OPTIMAL MULTI-OBJECTIVE DEVELOPMENT SCHEDULING OF ELECTRIC VEHICLES IN DISTRIBUTION NETWORK USING PARTICLE SWARM OPTIMIZATION. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), 9(2 ), 55-64. SID. https://sid.ir/paper/203005/en

Vancouver: Copy

GOROOHI SARDOU IMAN. OPTIMAL MULTI-OBJECTIVE DEVELOPMENT SCHEDULING OF ELECTRIC VEHICLES IN DISTRIBUTION NETWORK USING PARTICLE SWARM OPTIMIZATION. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING)[Internet]. 2018;9(2 ):55-64. Available from: https://sid.ir/paper/203005/en

IEEE: Copy

IMAN GOROOHI SARDOU, “OPTIMAL MULTI-OBJECTIVE DEVELOPMENT SCHEDULING OF ELECTRIC VEHICLES IN DISTRIBUTION NETWORK USING PARTICLE SWARM OPTIMIZATION,” COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), vol. 9, no. 2 , pp. 55–64, 2018, [Online]. Available: https://sid.ir/paper/203005/en

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