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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2007, Vol. 8 Issue (6): 896-903    DOI: 10.1631/jzus.2007.A0896
Information Science & Engineering     
GA and PSO culled hybrid technique for economic dispatch problem with prohibited operating zones
SUDHAKARAN M., AJAY-D-VIMALRAJ P., PALANIVELU T.G.
ECE Department of Pondicherry University College, Pondicherry University, Pondicherry 605014, India
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Abstract  This paper presents an efficient and reliable genetic algorithm (GA) based particle swarm optimization (PSO) technique (hybrid GAPSO) for solving the economic dispatch (ED) problem in power systems. The non-linear characteristics of the generators, such as prohibited operating zones, ramp rate limits and non-smooth cost functions of the practical generator operation are considered. The proposed hybrid algorithm is demonstrated for three different systems and the performance is compared with the GA and PSO in terms of solution quality and computation efficiency. Comparison of results proved that the proposed algorithm can obtain higher quality solutions efficiently in ED problems. A comprehensive software package is developed using MATLAB.

Key words： Biochemical constituents      Enzyme activities      Dioscorea rotundata      Sprouting      Storage      Triadimefon (TDM)     
Received: 27 December 2006     
CLC:  TM73  
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SUDHAKARAN M.
AJAY-D-VIMALRAJ P.
PALANIVELU T.G.
Cite this article:

SUDHAKARAN M., AJAY-D-VIMALRAJ P., PALANIVELU T.G.. GA and PSO culled hybrid technique for economic dispatch problem with prohibited operating zones. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2007, 8(6): 896-903.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2007.A0896     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2007/V8/I6/896

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