A Quasi-Periodic Energy Management Strategy for Microgrids Based on Time Series Prediction and Linear Programming

The economic viability and grid reliability of a microgrid critically depend on effective energy management strategies. In this paper, a new energy management strategy for the microgrid is proposed. This strategy considers the changes in the capacity of the energy storage system, the power of the load, and the internal sources, gives an economic energy exchange strategy between the microgrid and the grid through the method of linear programming. In addition, based on the quasi-periodicity assumption, the load power, the internal source power, and the electricity price are predicted in real time. Linear programming is then performed with the predicted parameters to achieve a better energy exchange scheme. Simulations demonstrate that the total cost of the microgrid can be significantly decreased by applying the proposed method.