DocumentCode :
3275814
Title :
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
Link To Document :
بازگشت