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Shabib, G., Abdel Gayed, M., Rashwan, A. (2012). MODIFIED PARTICLE SWARM OPTIMIZATION FOR ECONOMIC LOAD DISPATCH WITH TRANSMISSION LOSSES. JES. Journal of Engineering Sciences, 40(No 5), 1399-1410. doi: 10.21608/jesaun.2012.114518
G. Shabib; Mesalam Abdel Gayed; A. M. Rashwan. "MODIFIED PARTICLE SWARM OPTIMIZATION FOR ECONOMIC LOAD DISPATCH WITH TRANSMISSION LOSSES". JES. Journal of Engineering Sciences, 40, No 5, 2012, 1399-1410. doi: 10.21608/jesaun.2012.114518
Shabib, G., Abdel Gayed, M., Rashwan, A. (2012). 'MODIFIED PARTICLE SWARM OPTIMIZATION FOR ECONOMIC LOAD DISPATCH WITH TRANSMISSION LOSSES', JES. Journal of Engineering Sciences, 40(No 5), pp. 1399-1410. doi: 10.21608/jesaun.2012.114518
Shabib, G., Abdel Gayed, M., Rashwan, A. MODIFIED PARTICLE SWARM OPTIMIZATION FOR ECONOMIC LOAD DISPATCH WITH TRANSMISSION LOSSES. JES. Journal of Engineering Sciences, 2012; 40(No 5): 1399-1410. doi: 10.21608/jesaun.2012.114518

MODIFIED PARTICLE SWARM OPTIMIZATION FOR ECONOMIC LOAD DISPATCH WITH TRANSMISSION LOSSES

Article 10, Volume 40, No 5, September and October 2012, Page 1399-1410  XML PDF (137.18 K)
Document Type: Research Paper
DOI: 10.21608/jesaun.2012.114518
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Authors
G. Shabib1; Mesalam Abdel Gayed2; A. M. Rashwan2
1Electrical Engineering Department, Aswan High Institute of Energy, South Valley University, Aswan - Egypt
2Department of Electrical Engineering, Faculty of Energy Engineering, South Valley University - Aswan, Egypt.
Abstract
A modified particle swarm optimization (PSO) technique is presented in this paper. The proposed method is used to solve the economic power dispatch with transmission losses. The objective is to minimize the total fuel cost of generation. Two standard different study cases are applied to show the effectiveness and efficiency of the proposed technique. The results is compared with the genetic algorithms technique and traditional (PSO) show that the proposed algorithm produces optimal solution in term of computational time and the optimal cost for economic dispatch problem .
Keywords
Economic Dispatch; Genetic Algorithms; Particle Swarm Optimization
Main Subjects
Electrical Engineering, Computer Engineering and Electrical power and machines engineering.
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