Optimal on-line energy management of building microgrid based on improved grey prediction model

As the penetration rate of distributed generation is increasing on the user side, an on-line energy management system for the building microgrid based on the improved gray prediction is proposed. Firstly, the whole model of building microgrid is established, including the energy storage system model, the electric vehicle model, the interaction model with the upper power grid and the controllable load model. Then the basic gray prediction model is improved to make it predict the real-time electricity price, the photovoltaic power generation and the home loads, and also improve the prediction accuracy. And then an online energy management system is put forward for building microgrid, to solve the daily optimal electricity plan aiming at the maximum profit of home energy and stabilizing the power fluctuation of tie line. Finally, the effectiveness of the energy management strategy is verified by comparing the control effect under different energy management modes for building microgrid.