Multi-objective Optimization Using Two-stage EMO for Renewable Energy Management in Medical Facility

Abstract

In this paper, a method of EMO to be applied for the energy management of the power system in which the renewable energy is introduced in a large-scale medical facility is proposed. The subject of the case study is a multi-objective optimization problem that seeks the optimal configuration and operation method of EG. The multiple objectives of minimizing the fuel consumption in emergency and minimizing the total power cost in normal time by means of peak cut in the power supply system combining with PV and EG are required to be simultaneously satisfied. The approach for this problem by EMO is a new attempt. It has been considered that it is difficult to obtain a highly accurate solution set by using the simple EMO alone, and it is confirmed also in our preliminary experiments. Therefore, in this paper, a two-stage EMO combining the multi-start with the local search function has been proposed. The proposed method is applied into case studies to evaluate, and the effectiveness is demonstrated.