Application of an improved PSO algorithm mixed BFO algorithm in optimal scheduling of hydropower station

摘要：

　　The optimal scheduling of hydropower station is a constrained strong,nonlinear and multi-stage combinatorial optimization.Aiming at this issue,this paper analyses the shortcomings of previous PSO algorithm in hydropower station optimal scheduling model,and presents an improved PSO algorithm for hybrid BFO algorithm,which overcomes the problem that the PSO algorithm is easy to fall into local extremum and has strong dependence on parameters.A case study of a short-term scheduling period of a hydropower station is used to compare the improved PSO algorithm mixed BFO algorithm with previous PSO algorithm.The results show that the improved PSO algorithm can converge to the global optimal solution more accurately.Therefore,it provides a new method for solving the optimal scheduling model of hydropower station.

作者: Yibo Zou Li Mo Xiaogang Xiao

作者单位: Shcool of Hydropower and Information Engineering,Huazhong University of Science and Technology,Wuhan Central China Power Grid Company,Wuhan,Hubei 430077,China

会议类型: 国际会议

会议名称: 2018 International Symposium on Water System Operations(ISWRSO 2018)(2018年水资源系统及调度国际研讨会)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2018-10-12（万方平台首次上网日期，不代表论文的发表时间）