Study on Energy Coordination of Building Power Supply System Based on Neural Network

摘要

In order to solve the problems of system instability and high energy dissipation in building power supply system using micro-grid structure and photovoltaic energy, an energy coordination strategy based on predicted value was proposed. According to the similar daily principle, BP neural network is used to predict photovoltaic power generation and building load on a day-ahead basis, and the predicted power generation is used as the benchmark to coordinate the power supply system, so as to ensure the power balance of source, network and load when the power supply system switches day and night under various weather conditions. The feasibility and reliability of the energy coordination strategy were verified by modeling the simulation system on MATLAB/SIMULINK platform.