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考虑独立储能调频动态容量申报的多阶段滚动优化出清模型

Multi-stage rolling optimization clearing model considering dynamic capacity bidding of independent energy storage for frequency regulation

  • 摘要: 在全国电力市场一体化建设进程中,现行电力现货市场分时边际定价模式多以边际生产成本为依据,但化学储能核心损耗源于充放电循环导致的寿命衰减,现行市场机制不能完全适应储能的运行成本特性。据此,在电能量-调频辅助服务联合市场下,提出一种考虑独立储能调频动态容量申报的多阶段滚动优化出清模型。首先,基于等效全循环寿命衰减模型计算储能调频最佳充放电深度边界,设计调频市场容量动态申报机制;然后,提出考虑电能量-调频联合市场时序衔接的多阶段滚动优化出清框架,该框架首先在确定机组发电计划的同时开展电能量市场预出清,量化调频资源机会成本并确定调频动态容量申报边界,然后对各主体调频报价进行综合调频性能动态修正,以调频组合最优价格进行调频市场出清;最后,将调频中标结果转化为机组出力约束,再实施联合市场实时滚动出清。算例验证结果表明:在典型场景下,所提方法可降低调频市场出清成本7.86%。所提方法通过价格信号与性能约束的双重调节,既保障了优质调频资源的市场激励,又实现了调频资源的优化配置。

     

    Abstract: In the process of national power market integration, the current time-of-use marginal pricing mechanism of the spot market is mostly based on marginal production costs. However, the core loss of electrochemical energy storage stems from cycle-induced lifespan degradation, making existing market mechanisms unable to fully adapt to its operational cost characteristics. Against this background, a multi-stage rolling optimization clearing model considering dynamic capacity bidding of independent energy storage for frequency regulation is proposed under the joint market of electricity energy and frequency regulation auxiliary services. First, the optimal charge-discharge depth boundary for energy storage frequency regulation is calculated via the equivalent full cycle life decay model, and a dynamic declaration mechanism for the frequency regulation market is designed. Then, a multi-stage rolling optimization clearing framework considering time sequence connection of the electricity energy-frequency regulation joint market is proposed. The framework first conducts pre-clearing in the electricity energy market alongside unit generation scheduling to quantify the opportunity cost of frequency regulation resources and define the dynamic capacity declaration limits. Frequency regulation quotations from all participants are dynamically revised based on comprehensive regulation performance, and market clearing is implemented at the optimal combined price. Finally, the winning frequency regulation bids are converted into unit output constraints to carry out real-time rolling clearing of the joint market. The case study verification results show that under typical scenarios, the proposed method can reduce the clearing cost of the frequency regulation market by 7.86%. Regulated by both price signals and performance constraints, the approach incentivizes high-quality frequency regulation resources and achieves optimal allocation of regulation capacity.

     

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