DocumentCode :
2908050
Title :
Application of Particle Swarm Optimization for Economic Load Dispatch Problems
Author :
Sudhakaran, M. ; Raj, P. Ajay D - Vimal ; Palanivelu, T.G.
Author_Institution :
Pondicherry Eng. Coll., Pondicherry
fYear :
2007
fDate :
5-8 Nov. 2007
Firstpage :
1
Lastpage :
7
Abstract :
This paper presents an efficient and reliable particle swarm optimization (PSO) method for the economic load dispatch (ELD) problems. The PSO method was developed through the simulation of a simplified social system and has been found to be robust in solving continuous nonlinear optimization problems in terms of accuracy of the solution and computation time and it can out perform other algorithms. The proposed algorithm is applied for the ELD of three unit & six unit thermal plant systems and extended to three plant system in which one plant is combined cycle co-generation plant. The performance of the proposed PSO method is compared with the conventional method and genetic algorithm method and it is observed that this method is reliable and may replace effectively the conventional practices presently performed in different central load dispatch centers. The comparison of results shows that the proposed PSO method was indeed capable of obtaining higher quality solutions efficiently for ELD problems within less computation time.
Keywords :
combined cycle power stations; genetic algorithms; load dispatching; particle swarm optimisation; power generation economics; combined cycle cogeneration plant; continuous nonlinear optimization problems; economic load dispatch problems; genetic algorithm method; particle swarm optimization; thermal plant systems; Costs; Fuel economy; Genetic algorithms; Optimization methods; Particle swarm optimization; Power generation; Power generation economics; Power system economics; Propagation losses; Random number generation; Economic Dispatch; Genetic Algorithms; Particle swarm optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Applications to Power Systems, 2007. ISAP 2007. International Conference on
Conference_Location :
Toki Messe, Niigata
Print_ISBN :
978-986-01-2607-5
Electronic_ISBN :
978-986-01-2607-5
Type :
conf
DOI :
10.1109/ISAP.2007.4441694
Filename :
4441694
Link To Document :
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