| 高欣园,王瑞琪,刘松,张存明,李延真,张帅,周卉.计及电动汽车聚合的多虚拟电厂主从博弈鲁棒优化[J].电力需求侧管理,2026,28(3):29-35 |
| 计及电动汽车聚合的多虚拟电厂主从博弈鲁棒优化 |
| Robust optimization of multi-virtual power plants considering electric vehicle aggregation under a Stackelberg game |
| 投稿时间：2026-01-09 修订日期：2026-03-16 |
| DOI：10.3969/j.issn.1009-1831.2026.03.005 |
| 中文关键词: 虚拟电厂 电动汽车聚合 Stackelberg博弈 鲁棒优化 |
| 英文关键词: virtual power plant electric vehicle aggregation Stackelberg game robust optimization |
| 基金项目:国家自然科学基金(62133008)；泰山产业领军人才工程资助(N0.tscx202312127)；国网公司总部科技项目(5100-202116567A-0-5-SF) |
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| 中文摘要: |
| 面向多虚拟电厂协调交易与电动汽车聚合调度问题,建立了虚拟电厂运营商与多个虚拟电厂之间的双层主从博弈模型。上层以运营商净收益最大为目标优化交易电价,下层以各虚拟电厂运行成本最小为目标,协调微型燃气轮机、储能、风电、可中断负荷及电动汽车聚合资源功率。电动汽车仅作为VPP4内部时变接入资源参与调度,其移动性通过接入状态约束表征,不涉及跨虚拟电厂迁移。针对充放电不确定性,采用鲁棒优化强化下层功率平衡约束,并结合贝叶斯优化求解双层模型。算例结果表明,电动汽车聚合可提升虚拟电厂内部灵活调节能力,动态定价可促进多虚拟电厂交易,鲁棒优化可增强极端场景下的调度稳定性。 |
| 英文摘要: |
| A bi-level Stackelberg game model is established for coordinated trading among multiple virtual power plants and the dispatch of aggregated electric vehicles. At the upper level, trading prices are optimized to maximize the net profit of the virtual power plant operator. At the lower level, the operating cost of each virtual power plant is minimized by coordinating micro-turbines, energy storage, wind power, interruptible loads and aggregated electric vehicles. Electric vehicles are modeled only as time-varying connected resources in VPP4. Charging and discharging uncertainty is addressed by robust optimization, and the bi-level model is solved by Bayesian optimization. Case studies show that electric vehicle aggregation improves local flexibility, dynamic pricing promotes inter-VPP trading, and robust optimization enhances dispatch stability. |
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