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

Author(s): R.Vanitha | M.Sudhakaran

Journal: International Journal of Computer Applications
ISSN 0975-8887

Volume: 31;
Issue: 4;
Start page: 20;
Date: 2011;
Original page

Keywords: Optimal power flow | Power loss minimization | Genetic Algorithm | Differential Evolution | Evolutionary Optimization technique

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 and 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.

Tango Jona
Tangokurs Rapperswil-Jona

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