Combined analytic hierarchy process and binary particle swarm optimization for multiobjective plug-in electric vehicles charging coordination with time-of-use tariff
Document Type
Article
Publication Date
1-1-2020
Abstract
Plug-in electric vehicles (PEVs) are gaining popularity as an alternative vehicle in the past few years. The charging activities of PEVs impose extra electrical load on residential distribution system as well as increasing operational cost. There are multiple conflicting requirements and constraints during the charging activities. Therefore, this paper presents multiobjective PEV charging coordination based on weighted sum technique to provide simultaneous benefits to the power utilities and PEV users. The optimization problem of the proposed coordination is solved using binary particle swam optimization. The objectives of the coordination are to (i) minimize daily power loss, (ii) maximize power delivery to PEV, and (iii) minimize charging cost of PEV considering time-of-use tariff. In order to determine balance weighting factor for each of these objectives, analytic hierarchy process is applied. By using this approach, the best result of charging coordination can be achieved compared to uncoordinated charging. A 23-kV residential distribution system with 449-nodes is used to test the proposed approach. From the attained results, it is shown that the proposed method is effective in minimizing power loss and cost of charging with safe operation of distribution system.
Keywords
Plug-in electric vehicle, Charging coordination, Analytic hierarchy process, Cost minimization, Optimization
Divisions
sch_ecs
Funders
Universiti Malaya,Malaysian government (GPF055A-2018),Malaysian government (RF013A-2018)
Publication Title
Turkish Journal of Electrical Engineering and Computer Sciences
Volume
28
Issue
3
Publisher
Tubitak Scientific & Research Council, Turkey
Publisher Location
ATATURK BULVARI NO 221, KAVAKLIDERE, ANKARA, 00000, TURKEY