上海交通大学学报

上海交通大学学报

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考虑极端天气的虚拟电厂参与辅助服务市场策略研究

  

  1. 1. 国网江苏省电力有限公司，南京 210000；

    2. 东南大学，南京，210000

  • 作者简介:李杰（1982—），硕士生，从事电力系统运行控制研究。
  • 基金资助:

    国网江苏省电力有限公司科技项目（J2023123）资助项目

Strategies of Virtual Power Plants Participating in the Ancillary Service Market under Extreme Weather Conditions

  1. 1.State Grid Jiangsu Electric Power Co., LTD, Nanjing 210000, Jiangsu, China;

    2. Southeast University, Nanjing 210000, Jiangsu, China

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摘要： 针对虚拟电厂盈利方式有限和收益不稳定的问题，本文通过虚拟电厂内部光伏系统并网变流器的优化控制，使其可参与无功辅助服务市场获取调压收益，保证系统在极端天气场景下的电压稳定性，扩充虚拟电厂的收益渠道。本文建立考虑需求响应的虚拟电厂参与辅助服务市场双层优化模型，上层为虚拟电厂综合收益最大化模型，下层为虚拟电厂柔性负荷用电成本最小化模型，通过KKT条件将双层模型转化为单层模型求解。算例研究表明，本文提出的虚拟电厂参与辅助服务市场策略可在极端天气情况下获取稳定收益，在正常天气下该策略也具有有效性和适应性，确保了虚拟电厂在不同天气条件下都能实现稳定的经济效益。

关键词: 虚拟电厂, 需求响应, 无功辅助服务, 极端天气

Abstract: In response to the issues of limited profit methods and unstable earnings for virtual power plants, this paper optimizes the control of the grid-connected inverters within the virtual power plants’ photovoltaic systems, enabling them to participate in the reactive power auxiliary services market to gain voltage regulation revenue. This ensures voltage stability under extreme weather scenarios and expands the revenue channels for the virtual power plant. This paper establishes a two-layer optimization model for virtual power plants to participate in the auxiliary services market, with the upper layer being a comprehensive revenue maximization model for the virtual power plant and the lower layer being a cost minimization model for the flexible load electricity consumption of the virtual power plant. The model is solved by transforming the two-layer model into a single-layer model using KKT conditions. The strategy is also effective and adaptable under normal weather conditions, ensuring that the virtual power plant can achieve stable economic benefits under various weather conditions.

Key words: Virtual power plant, Demand response, Reactive power auxiliary service, Extreme weather

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