计及多阶段鲁棒的虚拟电厂群电能共享优化运行

王勇; 吕梁年; 王海云; 王云广; 朱博文

王勇,吕梁年,王海云,王云广,朱博文.计及多阶段鲁棒的虚拟电厂群电能共享优化运行[J].电测与仪表,2026,63(1):13-23.
WANG Yong,LV Liangnian,WANG Haiyun,WANG Yunguang,ZHU Bowen.Power sharing optimization operation of virtual power plant group with multi-stage robust[J].Electrical Measurement & Instrumentation,2026,63(1):13-23.

计及多阶段鲁棒的虚拟电厂群电能共享优化运行

Power sharing optimization operation of virtual power plant group with multi-stage robust

DOI：10.19753/j.issn1001-1390.2026.01.002

中文关键词: 虚拟电厂主从博弈三阶段鲁棒优化纳什谈判交替方向乘子法

英文关键词:virtual power plant, master-slave game, three-stage robust optimization, Nash bargaining, alternating direction multiplier method

基金项目:新疆维吾尔自治区重点研发计划（2022B01020-3）

作者中文名	作者英文名	单位
王勇	WANG Yong	新疆大学电气工程学院, 乌鲁木齐 830017
吕梁年	LV Liangnian	北京金风科创风电设备有限公司, 北京 100176
王海云	WANG Haiyun	新疆大学电气工程学院,乌鲁木齐 830017
王云广	WANG Yunguang	北京金风科创风电设备有限公司, 北京 100176
朱博文	ZHU Bowen	北京金风科创风电设备有限公司，北京 100176

摘要点击次数: 61

中文摘要:

随着电动汽车和分布式电源接入电网的比例不断提升，虚拟电厂(virtual power plant, VPP)为有效解决电动汽车、分布式电源并网提供了新思路。针对VPP独立运行时面临的运行成本高、电价和源荷不确定性大等挑战，文中提出了一种基于纳什三阶段鲁棒优化的多VPP协同运行的优化方法。为协调VPP运营商与电动汽车用户的经济利益冲突，采用主从博弈理论刻画VPP运营商和电动汽车上下层之间的互动关系，上层VPP运营商充分考虑到电力市场购售电价以及源荷功率波动带来的不确定性影响，由三阶段鲁棒优化模型构造上层主体，三阶段鲁棒优化模型较以往的传统模型不同，文中采用了min-maxmin-maxmin的构造刻画模型内部关系；构建了基于纳什谈判理论的多VPP协同优化模型，为解决复杂非凸非线性优化的求解问题，将模型等效转化为多VPP合作成本最小化和电能谈判支付两个子问题；考虑到各VPP间信息隐私安全，采用交替方向乘子法(alternating irection method of multipliers, ADMM)对上述两个子问题进行分布式求解。算例验证表明，所提方法不仅在多重不确定性影响的情况下为参与合作的各VPP提供了可行且鲁棒性强的调度方案，而且为各VPP制定了合理的能源交互策略和利益分配方案，参与合作的各VPP均实现了经济效益的提升。

英文摘要:

With the increasing proportion of electric vehicles and distributed power supplies connected to the power grid, virtual power plant (VPP) provides a new way to effectively solve the problem of electric vehicles and distributed power supplies connected to the power grid. Aiming at the challenges such as high operating costs, large uncertainties in electricity prices and source-load when VPP operates independently, this paper proposes an optimization method for the collaborative operation of multi-VPP based on Nash three-stage robust optimization. In order to coordinate the conflict of economic interests between the VPP internal operator and the EV subject, the master-slave game theory is used to depict the interaction between the VPP system operator and the upper and lower levels of the EV. Meanwhile, the upper VPP operator fully considers the influence of uncertainty caused by the fluctuation of purchase and sale price and source load output in the power market. A three-stage robust optimization model is used to construct the upper body. The three-stage robust optimization model is different from the traditional model. The min-maxmin-maxmin construction is used to describe the internal relationship of the model. A multi-VPP group optimization operation model based on Nash negotiation theory is constructed. In order to solve the complex nonconvex nonlinear optimization problem, the model is transformed into two sub-problems: multi-VPP benefit maximization and power payment value between multiple VPPS. Considering the information privacy security between VPPS, alternating direction method of multipliers (ADMM) is adopted to solve the above two sub-problems. Three multi-functional VPPS are selected for example analysis, the results show that the proposed optimization method in this paper can not only establish the optimal dispatching scheme for VPP under the influence of multiple uncertainties but also improve the profits of each VPP and the overall revenue while taking fairness into account.

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