Multi-Objective Scheduling of Electric Vehicles in Smart Distribution Network

Changhong Deng, Ning Liang, Jin Tan and Gongchen Wang
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Changhong Deng: School of Electrical Engineering, Wuhan University, Wuhan 430072, China
Ning Liang: School of Electrical Engineering, Wuhan University, Wuhan 430072, China
Jin Tan: School of Electrical Engineering, Wuhan University, Wuhan 430072, China
Gongchen Wang: School of Electrical Engineering, Wuhan University, Wuhan 430072, China

Sustainability, 2016, vol. 8, issue 12, 1-15

Abstract: Due to the energy savings and environmental protection they provide, plug-in electric vehicles (PEVs) are increasing in number quickly. Rapid development of PEVs brings new opportunities and challenges to the electricity distribution network’s dispatching. A high number of uncoordinated charging PEVs has significant negative impacts on the secure and economic operation of a distribution network. In this paper, a bi-level programming approach that coordinates PEVs’ charging with the network load and electricity price of the open market is presented. The major objective of the upper level model is to minimize the total network costs and the deviation of electric vehicle aggregators’ charging power and the equivalent power. The subsequent objective of the lower level model after the upper level decision is to minimize the dispatching deviation of the sum of PEVs’ charging power and their optimization charging power under the upper level model. An improved particle swarm optimization algorithm is used to solve the bi-level programming. Numerical studies using a modified IEEE 69-bus distribution test system including six electric vehicle aggregators verify the efficiency of the proposed model.

Keywords: electric vehicles; smart distribution network; bi-level programming; dispatch optimization; coordination (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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