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多市场环境下考虑调节能力动态变化的虚拟电厂投标策略与出清机制

Bidding strategy and clearing mechanism of virtual power plants considering dynamic variation of regulation capacity under multi-market environment

  • 摘要: 虚拟电厂(virtual power plant,VPP)能够通过聚合分布式电源、可调节负荷和储能等资源,参与电力市场为系统提供电能量和调频辅助服务,其核心目标是通过优化内部资源在两个市场间的配置以实现收益最大化。针对当前VPP因缺乏具体、精确的报量方法导致市场竞争力不足的问题,提出了在多市场环境下考虑调节能力动态变化的VPP投标策略以及包含VPP的电能量-调频市场联合出清机制。首先,根据内部资源调度特性刻画VPP可调节能力边界,进而提出基于可调节能力划分区间的分段式联合投标策略,使其可以充分调度内部资源参与市场;其次,鉴于两个市场具有重叠性,构建包含VPP的电能量-调频市场联合出清机制,提高对灵活性资源的调配效率;最后,对所提投标策略和出清机制进行算例分析,结果表明:与基于固定功率范围的单段申报策略相比,系统和VPP的总购电成本分别降低0.75%和53.93%,验证了所提投标策略与出清机制可以在实现社会效益最大化的同时提升VPP自身收益。

     

    Abstract: The virtual power plant (VPP) can participate in electricity markets to provide power and frequency regulation auxiliary services for the system by aggregating resources such as distributed generation, adjustable load and energy storage. Its core objective is to maximize the benefits by optimizing the allocation of internal resources across the two markets. To address the insufficient market competitiveness of VPPs caused by the lack of specific and accurate volume bidding methods, this paper proposes a VPP bidding strategy considering the dynamic variation of regulation capacity under a multi-market environment, as well as a joint clearing mechanism of energy-frequency regulation markets incorporating VPPs. Firstly, the adjustable capacity boundary of the VPP is characterized according to the scheduling characteristics of internal resources. A segmented joint bidding strategy based on adjustable capacity partition interval is then proposed to enable full scheduling of internal resources for market participation. Secondly, in view of the overlap between the two markets, a joint clearing mechanism of energy-frequency regulation markets with VPP integrated is constructed to improve the allocation efficiency of flexible resources. Finally, case studies are carried out to verify the proposed bidding strategy and clearing mechanism. The results show that compared with the single-segment bidding strategy based on a fixed power range, the total power purchase cost of the system and VPP is reduced by 0.75% and 53.93%, respectively. It is verified that the proposed bidding strategy and clearing mechanism can maximize the social benefits while improving the VPP's own benefits.

     

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