风光储联合就近供电多时间尺度优化调度OA北大核心CSTPCD

A wind-solar-storage joint nearby power supply mode is proposed and a multi-timescale multi-objective optimization scheduling model is established to cope with the difficulties in the new energy consumption.This paper focuses on scheduling issues at different time scales,including day-ahead scheduling,ultra-short-term scheduling and real-time scheduling.In the day-ahead scheduling plan,a dual-objective optimization model is established based on the day-ahead forecast data of wind-solar power generation and local load demand,considering the operation cost of wind-solar-storage power generation system and the reliability of load power supply.The model is solved by the PSO-based improved golden search optimization(GSO)algorithm.In the intra-day ultra-short-term plan,the energy storage system and the grid connection/disconnection status are adjusted based on the updated intra-day power forecast data and the actual utilization of dual energy storage.In the real-time scheduling,on the basis of the local supply and demand equipment monitoring and the continuous availability of dual energy storage SOC(state of charge),a real-time scheduling model of dual-battery energy storage is established according to the grid peak-valley price,so as to achieve comprehensive management of source,grid,load and storage energy.A simulation model is built with Matlab to verify the economy and practicality of the proposed multi-timescale dual energy storage wind-solar power generation scheduling method.