摘要
新型储能系统作为我国能源转型与新型电力系统构建的核心支撑,通过储能调峰和频率调节可以有效解决可再生能源风电光伏的间歇性波动问题,在保障电网的安全稳定运行和电网的经济性上发挥重要作用。人工智能及数据驱动在储能优化方面被广泛使用,通过分析储能优化过程中存在的数据依赖问题和多场景下的调度难以协同等问题,深入探讨储能系统多能互补与混合储能协调调度方法以及储能系统经济性与技术性的均衡发展,并对未来技术的融合、市场化的调度发展路线进行了展望,为新型储能系统规模化应用提供参考。
As the core support for my countrys energy transformation and the construction of a new power system,the new energy storage system can effectively solve the intermittent fluctuations problem of renewable energy,wind power and photovoltaics through energy storage peak regulation and regulation,and ensure the safe and stable operation of the power grid and the economy.Artificial intelligence and data-driven are widely used in energy storage optimization.By analyzing the problems of data dependence in the process of energy storage optimization and the difficulty in coordinating scheduling in multiple scenarios,it discusses in depth the multi-energy complementarity and hybrid energy storage coordination scheduling method and the balance between economy and technology of the energy storage system.It provides reference for the large-scale application of new energy storage systems,the integration of future technologies and the prospect of market-oriented scheduling routes.
作者
李海旭
刘姝
任经纬
王玉琳
李柏麒
LI Haixu;LIU Shu;REN Jingwei;WANG Yulin;LI Baiqi(School of Electrical Engineering,Shenyang Institute of Engineering,Shenyang,Liaoning 110136,China;School of New Energy,Shenyang Institute of Engineering,Shenyang,Liaoning 110136,China;Huaneng Renewables Co.,Ltd.,Liaoning Branch,Shenyang,Liaoning 110004,China)
出处
《东北电力技术》
2026年第4期12-15,62,共5页
Northeast Electric Power Technology
基金
辽宁省教育厅项目(LJ242411632054)。
关键词
新型储能系统
人工智能
运行调控
优化调度
多能互补
new energy storage systems
artificial intelligence
operational regulation
optimal scheduling
multi-energy complementarity
