Optimized Configuration of Distributed Wind-Solar-Storage System Based on Wind-Solar Scene Generation

Abstract

To achieve large-scale, high-proportion, high-quality sustainable development of new energy such as wind and solar, the integration of wind, solar, and storage is imperative. In this paper, the Latin hypercube sampling and rapid backward reduction methods are used to generate and reduce the wind-solar output data. Then, an optimization model based on distributed wind-solar-storage system is established, in which the storage capacity is the configurable variable and the system benefit is the optimization objective. Subsequently, the wind-solar output data is substituted into the model for solving, and the Cplex solver is used to solve the model. The results show that the optimal storage capacity of the model built in this paper is 5 MWh.