会议专题

META HEURISTIC SEARCH ALGORITHMS FOR SHORT-TERM HYDROTHERMAL SCHEDULING

This paper presents the performances of meta heuristic search algorithms in solving short-term hydro thermal scheduling problems. Meta heuristic search algorithms like GA, CEP, FEP, IFEP and PSO have been developed for hydrothermal scheduling problems. The performances of the algorithms are demonstrated on a test case. It has been observed that all the algorithms are capable of finding very nearly global solutions within a reasonable time but PSO algorithm was found to be the most efficient amongst them in terms of convergence rate, solution time and success rate.

Fast evolutionary programming particle swarm optimization hydro-thermal scheduling

NIDUL SINHA LOI-LEI LAI

Electrical Engineering Department, NIT, Silchar, India Energy Systems Group, City University London, UK

国际会议

2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

大连

英文

4050-4056

2006-08-13(万方平台首次上网日期,不代表论文的发表时间)