Optimization of a PV-wind-diesel system using a hybrid genetic algorithm

Sizing the physical components, choosing proper brands, setting the optimal operation parameters, and the computation time are crucial issues when designing a diesel-hybrid renewable energy system. In this paper, a variant of one of the conventional methods used for designing and configuring these systems is proposed. This variant employs a hybrid genetic algorithm resulting in a time-efficient searching method. This method was applied in the design of an autonomous system that supplies two of the different kinds of loads typically encountered in Japan. The predicted costs were feasible and encouraging for more investment in this field of power.