论文信息 - Optimal Location of UPFC in Power Systems for Increasing Loadability by Genetic Algorithm

Optimal Location of UPFC in Power Systems for Increasing Loadability by Genetic Algorithm

In this paper a genetic algorithm (GA) is used for determining optimal location of UPFC in power systems. Optimal location in this paper means finding line number for UPFC location and its parameters for specified number of UPFCs. UPFC is considered as a powerful FACTS device in this paper. Unlike other FACTS devices, UPFC has a great flexibility that can control the active and reactive powers and voltage, simultaneously. The system loadability is applied as a measure of power system performance. Injection model of UPFC is used in the simulation. The concept of simulation is the load flow incorporated with UPFC. Studies are performed on a 14-bus IEEE power system. The results show that steady state performance of the power system can be effectively enhanced due to the optimal location and parameters of UPFC.

A. Kazemi | M. Yari | J. Aghaei | D. Arabkhabori

[1] S. Gerbex,et al. Optimal Location of Multi-Type FACTS Devices in a Power System by Means of Genetic Algorithms , 2001, IEEE Power Engineering Review.

[2] Seung-Il Moon,et al. Enhancement of power system security level through the power flow control of UPFC , 2000, 2000 Power Engineering Society Summer Meeting (Cat. No.00CH37134).

[3] G. T. Heydt,et al. Power flow control and power flow studies for systems with FACTS devices , 1998 .

[4] Yoshikazu Fukuyama,et al. Application of parallel genetic algorithms to generation expansion planning using parallel processors , 1995 .

[5] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[6] L.L. Lai,et al. Application of genetic algorithm to optimal reactive power dispatch including voltage-dependent load models , 1995, Proceedings of 1995 IEEE International Conference on Evolutionary Computation.