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风电租赁储能参与电能-调频市场竞价策略

Bidding Strategy of Wind Power Rental Energy Storage Participating in Frequency Regulation Market
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摘要 风电参与市场化竞价运营,可有效激发风电的市场力及其主动租赁储能改善调频性能的积极性,在提升风电运营效益的同时,助力电网的调频调峰,但需解决风储调频性能指标优化及其电能-调频双市场竞价策略协同优化等关键问题。为此,提出了风电参与电能-调频市场竞价双层优化模型:上层为双市场多主体竞价出清模型;下层为各主体竞价策略优化模型,响应上层出清结果,优化调整竞价策略,达到各主体效益最大化。下层模型嵌套了考虑风电不确定性的储能运营商与风电集群储能租赁价格/容量主从博弈优化模型。双层模型联合求解,得出最终风电集群租赁储能容量及其双市场竞价策略。算例结果表明,所提方法能够提升风电运营效益,助力电网调频调峰。 The participation of wind power in market bidding operations can effectively stimulate its market power and initiative to lease energy storage to improve frequency modulation performance.While improving the operating benefit of the wind power entity,it also helps in the frequency modulation and peak regulation of the power grid.However,key issues,such as optimizing wind storage frequency modulation performance indicators and the collaborative optimization of the power-frequency modulation dual-market bidding strategy,still need to be addressed.Therefore,a two-layer optimization model for wind power participation in the electricity-FM market is proposed.The upper layer is a two-market multi-agent bidding clearing model.The lower layer is the bidding strategy optimization model for each main body,which optimizes and adjusts the bidding strategy in response to the clearing results of the upper layer to maximize the benefits of each main body.The lower model nested a master-slave game optimization model of energy storage operators and the energy storage lease price/capacity of wind power clusters,considering wind power uncertainty.Finally,the leasing energy storage capacity of the wind power cluster and its dual-market bidding strategy are obtained.Numerical results demonstrate that the proposed method can improve the operational benefits of wind power clusters and help the power grid adjust the frequency and load peak.
作者 李咸善 胡长宇 张远航 李欣 李飞 LI Xianshan;HU Changyu;ZHANG Yuanhang;LI Xin;LI Fei(Hubei Provincial Key Laboratory for Operation and Control of Cascade Hydropower Stations(China Three Gorges University),Yichang 443002,Hubei Province,China;College of Electrical Engineering&New Energy,China Three Gorges University,Yichang 443002,Hubei Province,China)
出处 《电网技术》 EI CSCD 北大核心 2024年第5期1992-2002,I0057,I0054-I0056,共15页 Power System Technology
基金 国家自然科学基金项目(52107107)。
关键词 风电集群 综合调频性能指标 不确定性 储能租赁 多主体竞价 主从博弈 两阶段鲁棒优化 wind power clusters comprehensive frequency modulation performance uncertainty energy storage leasing multi-agent bidding master-slave game two-stage robust optimization
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