Solving the Economic Dispatch Problem With Q Learning Quantum Behaved Particle Swarm Qptimization Method

摘要：

　　In this paper,a Q learning quantum behaved particle swarm optimization QPSO method is proposed to solve the economic dispatch ED problem in power systems,whose objective is to simultaneously minimize the generation cost rate while satisfying various equality and inequality constraints.The proposed method enhance the global search ability of the algorithm.The feasibility of the QIQPSO method is demonstrated by three different power systems,compared with the GIQPSO,the MeQPSO,and the SIQPSO in terms of the solution quality,robustness and convergence property.The simulation results show that the proposed QIQPSO method is able to obtain higher quality solutions stably and efficiently in the ED problem than other tested optimization algorithm.

关键词： component QiQPSO QPSO economic dispatc global search ability

作者: Xinyi Sheng Wenbo Xu

作者单位: Jiangnan University Wuxi China

会议类型: 国际会议

会议名称: The 14th International Symposium on Distributed Computing and Applications to Business,Engineering and Science(DCABES 2015)(第十四届分布式计算及其应用国际学术研讨会)

会议地点: 贵阳

会议语种:英文

页码: 98-101

在线出版日期: 2015-08-18（万方平台首次上网日期，不代表论文的发表时间）