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Optimal Location and Control Parameter Settings of UPFC using Differential Evolution Algorithm

International Journal of Computer Applications
© 2011 by IJCA Journal
Number 1 - Article 1
Year of Publication: 2011

R.Vanitha and M.Sudhakaran. Article:Optimal Location and Control Parameter Settings of UPFC using Differential Evolution Algorithm. International Journal of Computer Applications 31(4):20-26, October 2011. Full text available. BibTeX

	author = {R.Vanitha and M.Sudhakaran},
	title = {Article:Optimal Location and Control Parameter Settings of UPFC using Differential Evolution Algorithm},
	journal = {International Journal of Computer Applications},
	year = {2011},
	volume = {31},
	number = {4},
	pages = {20-26},
	month = {October},
	note = {Full text available}


The main objective of this paper is to find the optimal location and control parameters settings of Unified Power Flow Controller (UPFC) with regard to power loss minimization. The proposed algorithm is based on steady state power injection model of UPFC. In this paper, two Evolutionary optimization techniques, namely Differential Evolution Algorithm (DE) and Genetic Algorithm (GA) are employed to solve optimal power flow problems. IEEE 14 bus & IEEE 30 bus test power systems are used for studies. The obtained results indicate that both techniques can successfully find the optimal location and control parameter settings of UPFC, but DE is faster than GA from the time perspective.


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