Model predictive control with feedback correction for optimal energy dispatch of a networked microgrid

Abstract

The novel model predictive control with feedback correction designed in this paper aims to optimize the energy dispatch and minimize the operation costs of a microgrid, which contributes to the improvement of pollution emissions and economic growth. The microgrid communication is based on power line communication, thus more accurate prediction models of photovoltaic and wind power generations of a networked microgrid can be designed from weather forecast information transmitted by power line communication. The prediction model for micro gas turbines and the loads of a microgrid are also proposed for optimization of the model predictive control. The rolling optimization model is updated by the latest forecast information to get minimization costs and optimal energy dispatch. The feedback correction designs predictions of generation and loads prediction errors to give an adjustment of the prediction model. Then the energy optimization dispatch will be updated by the adjusted prediction, so the most optimal dispatch will be obtained. Finally, the data of a microgrid in the Zhejiang province is applied in simulation and the minimization costs are compared with ideal costs to verify the performance and effectiveness of the proposed model predictive control strategy.