AI赋能新型储能系统优化调度研究OA

As the core support for my country's 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 intelli-gence 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.