Two Mixed Logical Dynamical Real-Time Receding Horizon Control Schemes for Microgrids Operation Optimization

Abstract

In this paper, a control scheme based on hybrid model predictive control (HMPC) is presented with two different cost functions for the energy management of a grid-connected microgrid (M G), including a battery storage device, a diesel generator, a photovoltaic system, and critical load. The real-time controller relies on the mixed-logical dynamical (MLD) model of the system and is in charge of computing the operating conditions for each MG component over a 24-hour horizon, with a sampling period of 60 min. An economic cost function is proposed to minimize the operation cost. Furthermore, considering the terminal equality constraint an alternative cost function based on minimization of the battery tracking error is presented. The mentioned constraint is in charge of stability and recursive feasibility of the operation. Moreover, simulation results are provided to show the advantages and disadvantages of both approaches.