计及容量市场的用户侧储能优化配置研究  

Research on User Side Energy Storage Optimization Configuration Considering Capacity Market

作　　者：麻秀范[1] 陈静 余思雨 李思远 卢文冰[1] Ma Xiufan;Chen Jing;Yu Siyu;Li Siyuan;Lu Wenbing(School of Electrical&Electronic Engineering North China Electric Power University,Beijing 102206 China;Langfang Power Supply Company State Grid Jibei Electric Power Corporation,Langfang 065000 China)

机构地区：[1]华北电力大学电气与电子工程学院,北京102206 [2]国网冀北电力有限公司廊坊供电公司,廊坊065000

出　　处：《电工技术学报》2020年第19期4028-4037,共10页Transactions of China Electrotechnical Society

摘　　要：容量市场能够为间歇性可再生能源的大规模并网提供灵活的容量支持,激励常规机组发电容量投资并保证峰荷时期备用容量充裕,在未来现货市场环境下建立相适应的容量市场机制是保障长期电力供给安全的有效方法,故储能作为用户侧的快速响应资源有望参与容量市场。该文结合容量市场,从用户对主能量市场实时电价进行响应后再利用储能充放电实现最优化用电的角度提出了一种用户需求响应-储能调节(DR-ESS)的优化模型。首先,基于容量市场合同构建用户实时电价需求响应模型;然后计及容量市场,建立储能定容双层优化配置模型,外层以用户在储能全寿命周期内净收益最大为目标优化储能功率及容量,内层以用户日收益最大化优化储能充放电策略。两层模型分别采用遗传算法与fmincon工具箱进行求解。以美国PJM市场下某大工业用户所在负荷节点数据进行算例分析,结果表明,采用DR-ESS优化模型在提升用户经济效益同时能够有效实现削峰填谷、降低电网尖峰负荷,减少电网投资成本,提高运行可靠性。The capacity market can provide flexible capacity support for large-scale grid connection of intermittent renewable energy,stimulate the investment of conventional unit power generation capacity,and ensure sufficient reserve capacity during peak load period.In the future spot market environment,the establishment of a suitable capacity market mechanism can guarantee the long-term power supply security in China,so energy storage as a user-side rapid response resource is expected to participate in the capacity market.This paper combined the capacity market,and proposed a user demand response-reservoir regulation(DR-ESS)optimization model from the perspective of users responding to the real-time electricity price of the main energy market and then using the energy storage to achieve optimal power consumption.Firstly,based on the capacity market contract,the user real-time electricity price demand response model is constructed;then the capacity market is considered,the energy storage double-layer optimization configuration model is established,the outer layer optimized the energy storage capacity and capacity,and the inner layer optimized the energy storage charge and discharge strategy.The two-layer model was solved by genetic algorithm and fmincon toolbox respectively.The analysis of a large industrial user data in the PJM market shows that the DR-ESS optimization model can effectively improve the user's economic benefits,realize peak clipping and valley filling,reduce grid investment costs and increase operational reliability.

关 键 词：容量市场 储能系统 需求响应 双层优化 

分 类 号：TM714[电气工程—电力系统及自动化]