Distributed Photovoltaic Generation and Energy Storage Planning of Distribution Network Based on Multi Scenarios

In view of the fact that the planning method based on the maximum operation section of the system was difficult to effectively cope with the uncertainty caused by the grid-connection of distributed photovoltaic (abbr. PV) generation, the joint planning characteristics of distributed PV generation and energy storage was researched. By means of the information entropy-based scenario extraction method the typical operation scenarios of PV generation and loads were generated. Comprehensively considering the economy, environmental protection and reliability, a model for multi scenarios-based site-selection and capacity determination for PV generation and energy storage planning was established and this model was solved by centroid opposition-based learning-particle swarm optimization (abbr. COBL-PSO) algorithm, and the result of the planning was intuitively assessed by the radar chart. Through the contrastive analysis on the computing example, the planning scheme of PV generation and energy storage battery, which can meet the demand of distribution network, was obtained. Thus, both feasibility and correctness of the established model are verified.