A novel method for optimal placement of vehicle-to-grid charging stations in distribution power system using a quantum binary lightning search algorithm
作者： Ahmed Aljanad , Azah Mohamed , Hussain Shareef , Tamer Khatib
DOI: 10.1016/J.SCS.2017.12.035
关键词:
摘要: Abstract Vehicle-to-Grid (V2G) technology is currently used in plug-in hybrid electric vehicles (PHEV) during the discharging mode. This has become a considerable mechanism to provide backup power source for distribution networks. In meanwhile, these need Charging Stations (CSs) receive from grid. Therefore, determining optimal CS placement network utilize V2G of PHEV an essential component so as enhance performance time peak demand. paper discusses generalized methodology assess when installing network. optimization done using novel heuristic technique called quantum binary lightning search algorithm. A multi-objective function set minimize line loading, voltage deviation, and circuit loss. The proposed method compared other techniques. As result, algorithm fewer limitations terms premature convergence than
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