Integrated Scheduling Strategy for Grid-aggregator-vehicle Interaction Based on Multi-subject Evolutionary-stackelberg Hybrid Game
Key Technologies of Large-scale Electric Vehicle Safe Charging/Discharging and Smart Vehicle-grid Interaction|更新时间:2026-02-05
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Integrated Scheduling Strategy for Grid-aggregator-vehicle Interaction Based on Multi-subject Evolutionary-stackelberg Hybrid Game
“This paper introduces its research progress in the field of electric vehicle scheduling. Experts have established a scheduling model based on multi-agent evolutionary game theory, verified the network business vehicle collaborative scheduling strategy, and provided an effective solution for solving the problem of electric vehicle scheduling and microgrid demand matching.”
Proceedings of the CSEEVol. 45, Issue 11, Pages: 4163-4174(2025)
作者机构:
1. 输变电装备技术全国重点实验室(重庆大学), 重庆市 沙坪坝区 400044
2. 国网甘肃省电力有限公司, 甘肃省 兰州市 730050
作者简介:
基金信息:
National Natural Science Foundation of China(52277081)
Qian ZHANG, Jiaqi WU, Tao SUN, et al. Integrated Scheduling Strategy for Grid-aggregator-vehicle Interaction Based on Multi-subject Evolutionary-stackelberg Hybrid Game[J]. Proceedings of the CSEE, 2025, 45(11): 4163-4174.
DOI:
Qian ZHANG, Jiaqi WU, Tao SUN, et al. Integrated Scheduling Strategy for Grid-aggregator-vehicle Interaction Based on Multi-subject Evolutionary-stackelberg Hybrid Game[J]. Proceedings of the CSEE, 2025, 45(11): 4163-4174. DOI: 10.13334/j.0258-8013.pcsee.240319.
Integrated Scheduling Strategy for Grid-aggregator-vehicle Interaction Based on Multi-subject Evolutionary-stackelberg Hybrid Game