| 内容提要: |
Nowadays the demand for electricity around the world is increasing while the natural resources are decreasing significantly. The pursuit for renewable energy in power generation has been broadly concerned especially for some coastal areas where grid supply is uneconomical or even unavailable. In this paper, the multi-objective genetic algorithm is adopted to find the optimal configuration of a photovoltaic (PV)-wind-diesel-battery hybrid power system for coastal buildings. The electricity load and the operational strategies of the hybrid power system are determined. Minimal annual cost (AC) and maximal utilization rate of solar-wind resources (URSW) are selected as the optimal objectives while the energy supply is guaranteed. The proposed method is applied for two cases in Chongwu and Dinghai, China, comparing with traditional optimal algorithm. In addition, the unit costs of the two conducted cases are calculated and compared with other similar hybrid power systems. |