A study on installation planning for interconnected renewable energy facilities in Hokkaido, Japan

In this paper, to optimize the kind and capacity of renewable energy which is installed in each area, an optimization program was developed by using a simple genetic algorithm (GA). The most efficient and economical system could be identified by applying the model in a random computer search. In the case study, a solar power installed only in seven cities, while a wind power in many cities in Hokkaido, Japan. Through the use of algorithm, the system planning requirements for the interconnection of these renewable energy facilities in a large area were optimized. On the basis of these results, the kind and capacity of renewable energy considered to be the most economically advantageous in that region has been identified and evaluated. The optimization of algorithm for planning and design, an efficient, economical, and interconnected system of electrical power could be realized from renewable energy in the over large area.