Application of Simulated Annealing Particle Swarm Algorithm in Optimal Scheduling of Hydropower Plant

Author

Bin, Li ; Jun, Rui

Author_Institution

Nanjing Autom. Res. Inst., Nanjing, China

Volume

4

fYear

2009

fDate

7-8 Nov. 2009

Firstpage

608

Lastpage

610

Abstract

Taking Hongjiadu hydropower plant as an instance, an algorithm of Simulated Annealing Particle Swarm Optimization (SAPSO) is proposed to optimize the regulation of hydropower plant. Practical application demonstrates that SAPSO solve the regulation problem of hydropower plant well, which is a nonlinear problem with complicated constraints. Compared with Standard Particle Swarm Optimization (SPSO), SAPSO is more efficient and simple and has high precision and convergence velocity.

Keywords

hydroelectric power stations; particle swarm optimisation; simulated annealing; Hongjiadu hydropower plant; hydropower plant; optimal regulation; optimal scheduling; simulated annealing particle swarm optimization; Hydroelectric power generation; Mathematical model; Optimal scheduling; Particle swarm optimization; Reservoirs; Scheduling algorithm; Simulated annealing; Water conservation; Water resources; Water storage; hydropower plant; optimal regulation; particle swarm optimization; simulated annealing;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-3835-8

Electronic_ISBN

978-0-7695-3816-7

Type

conf

DOI

10.1109/AICI.2009.161

Filename

5376210