摘要
风电、光伏等新能源存在间歇性和波动性缺陷,难以实现大规模并网。电池储能技术具有响应速度快、调节精度高、环境友好、体积小且灵活等优点,是解决上述问题的关键技术。为加快推动电化学储能在电力系统中的应用,减少化石能源消耗,实现“碳达峰,碳中和”目标,对电化学储能在促进新能源消纳、调峰、调频等应用场景的容量配置和调度策略进行系统分析,总结归纳了电化学储能参与电力系统规划与运行的方法。最后指出,未来将基于人工智能技术对电化学储能参与的电力系统规划与运行问题进行求解优化,进一步提高电力系统的稳定性和可靠性。
The intermittence and fluctuation of wind and PV power deters their large-scale grid-connection.Battery energy storage technology is an excellent solution for the predicament above since it is of fast response,high regulation accuracy,environmental protection,small size and flexibility.In order to promote the application of electrochemical energy storage technology in power systems,reduce fossil energy consumption,and achieve the goals of carbon peaking and carbon neutrality,the capacity configurations and scheduling strategies of electrochemical energy storage systems in different utilization scenarios,such as facilitating new energy consumption,peak-load shaving and frequency modulation,are analysed and summarized.The optimization on planning and operation a power system with the participation of electrochemical energy storage devices will be made based on the operating AI,to further improve the stability and reliability of power system.
作者
彭占磊
杨之乐
杨文强
李慷
PENG Zhanlei;YANG Zhile;YANG Wenqiang;LI Kang(Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen 518055,China;School of Mechanical and Electrical Engineering,Henan Institute of Science and Technology,Xinxiang 453003,China;School of Electronic and Electrical Engineering,University of Leeds,Leeds LS29JT,UK)
出处
《综合智慧能源》
CAS
2022年第6期37-44,共8页
Integrated Intelligent Energy
基金
国家自然科学基金面上项目(52077213)
国家自然科学基金青年项目(62003332)。
关键词
碳中和
电化学储能
新能源消纳
调峰调频
容量配置
运行调度优化
人工智能
carbon neutrality
electrochemical energy storage
new energy consumption
peak regulation and frequency regulation
capacity allocation
scheduling optimization
AI
