TY - JOUR
T1 - A novel method for optimal placement of vehicle-to-grid charging stations in distribution power system using a quantum binary lightning search algorithm
AU - Aljanad, Ahmed
AU - Mohamed, Azah
AU - Shareef, Hussain
AU - Khatib, Tamer
N1 - Funding Information:
The authors gratefully acknowledge the financial support provided by the Universiti Kebangsaan Malaysia under research grants GUP-2014-072 and DIP-2014-028.
Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2018/4
Y1 - 2018/4
N2 - Vehicle-to-Grid (V2G) technology is currently used in plug-in hybrid electric vehicles (PHEV) during the discharging mode. This technology has become a considerable mechanism to provide a backup power source for distribution networks. In the meanwhile, these vehicles need Charging Stations (CSs) to receive power from the grid. Therefore, determining the optimal CS placement in the distribution network to utilize the V2G technology of PHEV has become an essential component so as to enhance the performance of the distribution network in the time of peak demand. This paper discusses a generalized methodology to assess the optimal placement when installing the CS in the distribution network. This optimization is done using a novel heuristic optimization technique called quantum binary lightning search algorithm. A multi-objective function is set to utilize the V2G technology to minimize line loading, voltage deviation, and circuit power loss. The performance of the proposed method is compared to the performance of other heuristic optimization techniques. As a result, the proposed algorithm has fewer limitations in terms of premature convergence than other heuristic optimization techniques.
AB - Vehicle-to-Grid (V2G) technology is currently used in plug-in hybrid electric vehicles (PHEV) during the discharging mode. This technology has become a considerable mechanism to provide a backup power source for distribution networks. In the meanwhile, these vehicles need Charging Stations (CSs) to receive power from the grid. Therefore, determining the optimal CS placement in the distribution network to utilize the V2G technology of PHEV has become an essential component so as to enhance the performance of the distribution network in the time of peak demand. This paper discusses a generalized methodology to assess the optimal placement when installing the CS in the distribution network. This optimization is done using a novel heuristic optimization technique called quantum binary lightning search algorithm. A multi-objective function is set to utilize the V2G technology to minimize line loading, voltage deviation, and circuit power loss. The performance of the proposed method is compared to the performance of other heuristic optimization techniques. As a result, the proposed algorithm has fewer limitations in terms of premature convergence than other heuristic optimization techniques.
KW - Charging stations
KW - Line loading
KW - Plug-in hybrid electric vehicle
KW - Quantum binary lightning search algorithm
KW - Vehicle-to-grid
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U2 - 10.1016/j.scs.2017.12.035
DO - 10.1016/j.scs.2017.12.035
M3 - Article
AN - SCOPUS:85039855224
SN - 2210-6707
VL - 38
SP - 174
EP - 183
JO - Sustainable Cities and Society
JF - Sustainable Cities and Society
ER -