Optimal MPC-based energy management of multiport power electronics interface for hybrid energy sources

Abstract

The Multiport Power Electronics Interface (MPEI) has the advantages of low cost, high efficiency, high power density, high reliability, and ease of management over conventional multiple-converter based distributed power systems. Therefore, it is considered as the best candidate for integrating hybrid energy sources, especially when renewable sources are locally available, to supply low-to medium-power range applications such as microgrids, rural areas, military camps and critical industrial zones. In this paper, a comprehensive energy management system (EMS) of MPEI for hybrid energy sources based on model predictive control (MPC) is proposed. The proposed system consists of a grid-connected MPEI that integrates three types of energy sources — dispatchable, nondispatchable, and energy storage — to feed a local load. The objectives of the proposed EMS are to minimize the total daily operating cost of the system with the optimal use of the energy resources, minimize diesel fuel consumption, and minimize pollutant gas emissions while considering the physical and practical constraints of different energy sources. The optimization problem is formulated as a mixed-integer nonlinear dynamic optimization framework that can be solved using the SCIP solver, which is non-commercial solver that solves these kinds of problems. The MATLAB® software program is utilized along with the YALMIP optimization tool in the implementation of the proposed EMS to verify the feasibility of the proposed system.