DISTRIBUTION NETWORK STRUCTURE PLANNING BASED ON QAFSA

摘要：

　　This paper puts forward a new Quantum Artificial Fish Swarm Algorithm (QAFSA) which can achieve random and fuzzy dual uncertainty model planning.In regard of the insufficiency of traditional intelligent algorithm in distribution network optimization planning applications,the author adopts an updated strategy of quantum rotation gate and quantum artificial fish rear-end to achieve optimization by combining quantum computing with artificial fish swarm algorithm.The new algorithm can find the optimal solution with smaller fish scale in a short time with the advantages of fast convergence and global optimization ability.The results of the example show that this method is well-adapted to the uncertainty of the grid cost,and has greater robustness and flexibility.

关键词： distribution network network structure optimization planning Quantum Artificial Fish Swarm Algorithm.

作者: Xinyuan LIU Pai LIU Huiping ZHENG

作者单位: Shanxi EPRI-China Qingpu Power Supply Company-China

会议类型: 国际会议

会议名称: 第五届中国国际供电会议(GIRED)

会议地点: 上海

会议语种:英文

页码: 1-4

在线出版日期: 2012-09-05（万方平台首次上网日期，不代表论文的发表时间）