D212 粒子群最適化の手法を用いた再生可能エネルギーハイブリッドシステムの最適化に関する研究(OS2 再生可能エネルギー(風力設備の被害と最適化))

概要

論文の詳細を見る
Particle swarm optimization (PSO) is an optimization technique which models behavior of swarm of insects by particles in cyber space. It is focused because of its high efficiency of search and good convergence. In this study, the authors adopted the PSO technique and made a program to find the best configuration of a renewable energy hybrid system which is constituted of WTG and PV cell. Also, by using the program, the authors investigated the inference between the cost of each part effects and total cost of the hybrid system. As a result, it was found that PSO technique could be sufficiently applied to the problem of cost minimization of the renewable energy hybrid system. Also, from the results of sensitivity analysis, it was clarified that a raise of fuel cost occurs with an increase in use of WTG, PV and battery.
一般社団法人日本機械学会の論文
2011-06-22