Meta Heuristic Search Algorithms for Short-Term Hydrothermal Scheduling

Author

Sinha, Nidul ; Lai, Loi-lei

Author_Institution

Electr. Eng. Dept., NIT, Silchar

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

4050

Lastpage

4056

Abstract

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

Keywords

genetic algorithms; hydrothermal power systems; particle swarm optimisation; power generation scheduling; CEP algorithm; FEP algorithm; GA; IFEP algorithm; PSO algorithm; meta heuristic search algorithms; particle swarm optimization; short-term hydrothermal scheduling problems; Costs; Genetic mutations; Genetic programming; Heuristic algorithms; Optimal scheduling; Particle swarm optimization; Performance evaluation; Power generation; Power system planning; Reservoirs; Scheduling algorithm; Testing; Water storage; Fast evolutionary programming; hydro-thermal scheduling; particle swarm optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.258860

Filename

4028781