Optical storage and charging scheduling control system and method

Abstract

This application relates to a photovoltaic-storage-charging scheduling control system and method. The system includes: photovoltaic modules, energy storage modules, charging equipment, measurement modules, a scheduling controller, and a cloud platform. The scheduling controller executes the following steps: based on charging load prediction and photovoltaic power generation prediction algorithms, it processes a historical data feature database and outputs prediction results for a future period; the historical data feature database is generated by processing historical data, time period information, and meteorological data; based on the prediction results, it obtains the energy storage capacity required during off-peak periods and the energy storage capacity required during parity periods, and schedules the photovoltaic modules, energy storage modules, and charging equipment based on the energy storage capacity required during off-peak periods and the energy storage capacity required during parity periods. This achieves the linkage between energy storage capacity planning and weather conditions, fully utilizes historical data, time period information, and meteorological data to predict energy storage, enabling the full absorption of photovoltaic surplus on sunny days and effectively smoothing load fluctuations on rainy days, avoiding energy waste and grid impact.