Design Optimization of Renewable Energy System Using EMO

Recently, renewable energy system (RES) is becoming an important policy challenge. In introducing the RES, it is desirable to design the optimum configuration and operation method of the RES in consideration of the load, cost, weather, and operation at facilities to be installed. In this paper, it is proposed regarding the design of the RES as optimization problem that the system is formulated and evolutionary multi-objective optimization (EMO) is applied. As a case study, on the assumption that the introduction of RES on a large scale medical facilities, the effectiveness of the proposed method is confirmed. As a result, a successful solution that improves both the cost and the environmental load comparing to the case of using commercial power supply is found.