计及有限理性的高比例新能源系统多类型新型储能规划策略OA

Under the"dual carbon"goal,in order to improve the economy and flexibility of supporting energy storage facilities in the proportion of new energy systems,and to solve the asymmetric planning and decision-making problem of new energy storage selection and capacity allocation for each station in the new energy gathering area under limited rationality,this article conducts an evolutionary analysis of the interaction behavior between stations,power grids,and governments.Firstly,utilizing the spatiotemporal complementary characteristics of wind and solar power generation at the convergence of new energy sources,establish a basic operational framework for the collaborative use of energy storage resources by multi station complementary power generation.Secondly,based on evolutionary game theory,construct a scale model of new energy storage types and capacities for high proportion new energy systems.Then,an evolutionary game algorithm based on differential evolution algorithm is utilized to solve the dual dynamic evolutionary game model of new energy storage types and capacities.Finally,the effectiveness of the proposed planning strategy was verified through a case study of the Hexi Corridor New Energy Key Development Zone in China,and the impact of factors such as new energy grid electricity prices on its planning plan was analyzed.