Locating and sizing method of electric vehicle charging station based on Improved Whale Optimization Algorithm
An Improved Whale Optimization Algorithm (IWOA) is proposed to solve the problem of poor accuracy and stability in optimizing the locating and sizing of nonconvex and nonlinear electric vehicle (EV) charging stations (CSs). The variability index of convergence factor, the differential evolution oper...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-11-01
|
| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722006321 |
| _version_ | 1828011182526562304 |
|---|---|
| author | Junchao Cheng Jindi Xu Wentao Chen Beibei Song |
| author_facet | Junchao Cheng Jindi Xu Wentao Chen Beibei Song |
| author_sort | Junchao Cheng |
| collection | DOAJ |
| description | An Improved Whale Optimization Algorithm (IWOA) is proposed to solve the problem of poor accuracy and stability in optimizing the locating and sizing of nonconvex and nonlinear electric vehicle (EV) charging stations (CSs). The variability index of convergence factor, the differential evolution operator, and the antibody affinity are introduced in the algorithm framework. Twelve classical test functions show that IWOA significantly improves the algorithm accuracy and convergence speed compared to WOA. Finally. The Voronoi diagram based on Floyd’s shortest path is adopted to decide the service area of charging stations. With the goal of delivering cost optimization, IWOA is applied to a 45-node transportation network for case study analysis, and the results show that both the proposed model and algorithm can be effectively applied to the locating and sizing and help reduce the cost for the whole society. |
| first_indexed | 2024-04-10T09:11:21Z |
| format | Article |
| id | doaj.art-b507c8413ed144fababc646cd1fb0b9d |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-10T09:11:21Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-b507c8413ed144fababc646cd1fb0b9d2023-02-21T05:10:53ZengElsevierEnergy Reports2352-48472022-11-01843864400Locating and sizing method of electric vehicle charging station based on Improved Whale Optimization AlgorithmJunchao Cheng0Jindi Xu1Wentao Chen2Beibei Song3Corresponding author.; Business School, Shanghai Dianji University, No. 300 Shuihua Road, Pudong New Area, Shanghai, 201306, ChinaBusiness School, Shanghai Dianji University, No. 300 Shuihua Road, Pudong New Area, Shanghai, 201306, ChinaBusiness School, Shanghai Dianji University, No. 300 Shuihua Road, Pudong New Area, Shanghai, 201306, ChinaBusiness School, Shanghai Dianji University, No. 300 Shuihua Road, Pudong New Area, Shanghai, 201306, ChinaAn Improved Whale Optimization Algorithm (IWOA) is proposed to solve the problem of poor accuracy and stability in optimizing the locating and sizing of nonconvex and nonlinear electric vehicle (EV) charging stations (CSs). The variability index of convergence factor, the differential evolution operator, and the antibody affinity are introduced in the algorithm framework. Twelve classical test functions show that IWOA significantly improves the algorithm accuracy and convergence speed compared to WOA. Finally. The Voronoi diagram based on Floyd’s shortest path is adopted to decide the service area of charging stations. With the goal of delivering cost optimization, IWOA is applied to a 45-node transportation network for case study analysis, and the results show that both the proposed model and algorithm can be effectively applied to the locating and sizing and help reduce the cost for the whole society.http://www.sciencedirect.com/science/article/pii/S2352484722006321Whale Optimization AlgorithmElectric vehicleLocating and sizingDifferential EvolutionArtificial immune algorithmConvergence factor |
| spellingShingle | Junchao Cheng Jindi Xu Wentao Chen Beibei Song Locating and sizing method of electric vehicle charging station based on Improved Whale Optimization Algorithm Energy Reports Whale Optimization Algorithm Electric vehicle Locating and sizing Differential Evolution Artificial immune algorithm Convergence factor |
| title | Locating and sizing method of electric vehicle charging station based on Improved Whale Optimization Algorithm |
| title_full | Locating and sizing method of electric vehicle charging station based on Improved Whale Optimization Algorithm |
| title_fullStr | Locating and sizing method of electric vehicle charging station based on Improved Whale Optimization Algorithm |
| title_full_unstemmed | Locating and sizing method of electric vehicle charging station based on Improved Whale Optimization Algorithm |
| title_short | Locating and sizing method of electric vehicle charging station based on Improved Whale Optimization Algorithm |
| title_sort | locating and sizing method of electric vehicle charging station based on improved whale optimization algorithm |
| topic | Whale Optimization Algorithm Electric vehicle Locating and sizing Differential Evolution Artificial immune algorithm Convergence factor |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722006321 |
| work_keys_str_mv | AT junchaocheng locatingandsizingmethodofelectricvehiclechargingstationbasedonimprovedwhaleoptimizationalgorithm AT jindixu locatingandsizingmethodofelectricvehiclechargingstationbasedonimprovedwhaleoptimizationalgorithm AT wentaochen locatingandsizingmethodofelectricvehiclechargingstationbasedonimprovedwhaleoptimizationalgorithm AT beibeisong locatingandsizingmethodofelectricvehiclechargingstationbasedonimprovedwhaleoptimizationalgorithm |