Capacity optimization configuration of multiple energy storage in power systems with high proportion new energy considering impact of extreme weather

The frequent occurrence of extreme weather events poses severe challenges to safe and stable operation of power systems with high proportion new energy. In order to balance the consumption of new energy and the supply and demand of power system, from the perspective of power and electricity balance, this paper considers the classification of extreme weather types and their impact on flexible resource regulation at the source and load ends, clarifying the output characteristics of generators or systems with new energy under different extreme weather conditions and establishing their universal models, innovative construction of a multi-stage annual system scenario generation model integrating mechanistic analysis and data-driven. For the power system generated in multi-stage scenarios, the discrete Fourier transform method is used to process its net load curve in the frequency domain. Meanwhile, To effectively achieve collaborative optimization regulation of various types of power sources, an improved allocation coefficient optimization method for spectrum component allocation is proposed. A collaborative optimization model for multi type energy storage capacity configuration was established with the objective function of minimizing the annual comprehensive cost. Through case analysis, it was found that compared with the traditional optimal breakpoint method, the improved allocation coefficient optimization spectrum component allocation method proposed in this paper effectively reduces the storage capacity of pumped storage and electrochemical storage are 70.5726GW·h and 3.4196GW·h, respectively, providing ideas and references for optimizing the configuration of multiple types of energy storage in regional power grids. • Define the fluctuation duration and amplitude of extreme weather events through new energy output, and consider the impact of extreme weather events on grid load. • A general model of new energy output and load under different extreme weather events is built based on polynomial theory. • The improved spectrum component allocation coefficient method is used to realize the collaborative optimization of multiple types of energy storage and regulating power supply.