Economic load dispatch using a novel niche quantum genetic algorithm for units with valve-point effect

Author

Huang, Yu ; Zhang, De-li ; Li, Yongling ; Han, Pu ; Liu, Changliang

Author_Institution

Hebei Eng. Res. Center of Simulation & Optimized Control for Power Generation, North China Electr. Power Univ., Baoding, China

Volume

3

fYear

2011

fDate

10-13 July 2011

Firstpage

1386

Lastpage

1390

Abstract

Economic load dispatch (ELD) is an important dynamic problem in power system operation and control. The objective of the problem is to schedule power generation for the units with valve-point effect satisfying the transmission loss and ramp-rate constraints. In this paper, a novel quantum particle swarm optimization that was based on chaotic initialization and mutation algorithms is used to solve the dynamic economic dispatch problem for generating units. Results obtained with the proposed approach show that the algorithm has high quality solution, superior convergence characteristics and shorter computation time.

Keywords

genetic algorithms; particle swarm optimisation; power generation dispatch; power generation economics; power generation scheduling; ELD; chaotic initialization; economic load dispatch; generating units; mutation algorithms; niche quantum genetic algorithm; power generation scheduling; power system control; power system operation; quantum particle swarm optimization; ramp-rate constraints; transmission loss; valve-point effect; Convergence; Economics; Genetic algorithms; Heuristic algorithms; Optimization; Particle swarm optimization; Valves; Economic load dispatch; mixed quantum genetic algorithm; ramp rate limits; valve-point loading;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics (ICMLC), 2011 International Conference on

Conference_Location

Guilin

ISSN

2160-133X

Print_ISBN

978-1-4577-0305-8

Type

conf

DOI

10.1109/ICMLC.2011.6016861

Filename

6016861