دورية أكاديمية
Multi-Objective Optimization of Electric Vehicle Spare Capacity Based on User Wishes
| العنوان: | Multi-Objective Optimization of Electric Vehicle Spare Capacity Based on User Wishes |
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| المؤلفون: | SHAO Ping, YANG Zhile, LI Kang, ZHU Xiaodong |
| المصدر: | Shanghai Jiaotong Daxue xuebao, Vol 57, Iss 11, Pp 1501-1511 (2023) |
| بيانات النشر: | Editorial Office of Journal of Shanghai Jiao Tong University, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Engineering (General). Civil engineering (General) LCC:Chemical engineering LCC:Naval architecture. Shipbuilding. Marine engineering |
| مصطلحات موضوعية: | spare capacity, user wishes, multi-objective, multi-time scale, load demand uncertainty, Engineering (General). Civil engineering (General), TA1-2040, Chemical engineering, TP155-156, Naval architecture. Shipbuilding. Marine engineering, VM1-989 |
| الوصف: | Due to the considerable number and the characteristics of energy storage, it is possible for electric vehicles (EVs) to participate in the operation and regulation of power system to provide reserve service. In view of this, a multi-objective optimal scheduling model is established based on the wishes of electric vehicle users, with the objectives of the economic benefits of electricity collectors, microgrid power fluctuations and user satisfaction. Considering the uncertainty of load demand, the optimal scheduling analysis of multi-time scale scenes with the day-ahead time scale and the intra-day real-time correction time scale is conducted. The mainstream multi-objective intelligent optimization algorithm NSGA-III algorithm is adopted in the solution method, and the NSGA-II and MOEA/D algorithms are used for comparison. The optimal dispatching scheme is selected through comparative experiments and scenarios where EVs provide spare capacity are analyzed. The simulation results verify the feasibility and effectiveness of the proposed model. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | Chinese |
| تدمد: | 1006-2467 |
| Relation: | https://xuebao.sjtu.edu.cn/article/2023/1006-2467/1006-2467-57-11-1501.shtml; https://doaj.org/toc/1006-2467 |
| DOI: | 10.16183/j.cnki.jsjtu.2022.131 |
| URL الوصول: | https://doaj.org/article/255f794758b9415fa1f3e52d28a3ebcd |
| رقم الأكسشن: | edsdoj.255f794758b9415fa1f3e52d28a3ebcd |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 10062467 |
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| DOI: | 10.16183/j.cnki.jsjtu.2022.131 |