抄録
When regional renewable generation systems are interconnected, the variations in their power outputs tend to cancel out and the total fluctuation is reduced. By interconnecting wind and solar farms with proper sizes located in areas with different weather conditions, the reduction of these fluctuations and the need for a backup is possible. However, to achieve this, there is a need to define which type of renewable energy to install and how much capacity is needed in each region. So, in this paper, the type and capacity of the renewable energy systems are identified in each region, by developing a genetic algorithm-based optimization program.
