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风电场集群租赁共享储能两阶段优化运行策略 被引量:1

Two-stage Optimal Operation Strategy of Wind Farm Cluster Leasing Shared Energy Storage
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摘要 随着共享储能的逐步发展,如何构建与发电侧资源能量共享的联合互动机制成为共享储能在发电侧布局的重点方向。在共享理念背景下,提出了风电场集群租赁共享储能两阶段优化运行策略。首先,为厘清共享储能提供租赁服务的多元价值,提出了基于两部制电价模式的共享储能租赁服务价格机制并引入紧俏因子进行价格机制的调整与优化。其次,根据风电场集群租赁需求的动态变化特性,构建了风电场集群租赁共享储能的两阶段优化运行策略。日前阶段建立了以共享储能为主体、风电场集群为从体的主从博弈优化模型,通过纳什均衡解形成各时段租赁价格,并将价格信号传导至实时阶段。实时阶段分别以风电场集群与共享储能各自效益最大化为目标,结合租赁价格信号构建了实时滚动优化运行策略,继而形成各时段风电场集群实时租赁容量和储能充放电计划。接着,为保障风电场集群稳定性,充分考虑成员个体与集群和成员个体间的相关性,利用改进shapley值将储能租赁成本合理分摊至各风电场。最后,通过算例结果验证策略的有效性,为共享储能在风电场集群的应用提供了新的思路。 With the gradual development of shared energy storage,how to construct the joint interaction mechanism with the power generation side resource energy sharing has become the key direction of shared energy storage layout on the power generation side.Under the background of the sharing concept,this paper proposes a two-stage optimal operation strategy for wind farm cluster leasing shared energy storage.Firstly,to clarify the multiple values of shared energy storage leasing service,a price mechanism based on the two-part electricity price model was proposed,and the tightness factor was introduced to adjust and optimize the price mechanism.Secondly,according to the dynamic characteristics of wind farm cluster leasing demand,a two-stage optimal operation strategy of wind farm cluster leasing shared energy storage is constructed.A master-slave game optimization model with shared energy storage as the main body and a wind farm cluster as the subordinate body is established in the day-ahead stage.The Nash equilibrium solution forms the leasing price of each period,and the price signal is transmitted to the real-time stage.In the real-time stage,the wind farm cluster and shared energy storage are respectively targeted at maximizing their benefits.The real-time rolling optimization operation strategy is constructed in combination with the leasing price signal.Then,the real-time leasing capacity and energy storage charging and discharging plans are formed for the wind farm cluster at different periods.Then,to ensure the stability of the wind farm cluster,the correlation between individual members and the cluster and individual members is fully considered,and the improved Shapley method is used to reasonably allocate the energy storage lease cost to each wind farm.Finally,an example is given to verify the strategy's effectiveness,which provides a new idea for the application of shared energy storage in wind farm clusters.
作者 陆秋瑜 杨银国 谢平平 陈玥 吴杰康 雷振 LU Qiuyu;YANG Yinguo;XIE Pingping;CHEN Yue;WU Jiekang;LEI Zhen(Dispatching Control Center of Guangdong Power Grid Co.,Ltd.,Guangzhou 510000,Guangdong Province,China;School of Automation,Guangdong University of Technology,Guangzhou 510006,Guangdong Province,China)
出处 《电网技术》 EI CSCD 北大核心 2024年第3期1146-1159,共14页 Power System Technology
基金 中国南方电网公司科技项目([03600KK52200049(GDKJXM20201978)])。
关键词 共享储能 集群 价格机制 主从博弈 两阶段优化 shared energy storage cluster price mechanism master-slave game two-stage optimization
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  • 1陈海生,李泓,徐玉杰,徐德厚,王亮,周学志,陈满,胡东旭,阎景旺,李先锋,胡勇胜,安仲勋,刘语,肖立业,蒋凯,钟国彬,王青松,李臻,戴兴建,张宇鑫,俞振华,宋振,彭煜民,马一鸣,郭欢,王星,周鑫,胡傲伟,张弛,相佳媛,张浩,刘为,岳芬,张长昆,谢飞,夏恒恒,杨重阳,邱清泉,艾巍,李浩秒,刘轩,梅文昕,李煌.2023年中国储能技术研究进展[J].储能科学与技术,2024,13(5):1359-1397. 被引量:19

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