Differential Evolution Based Optimal Choice and Location of Facts Devices in Restructured Power System
This paper deals with the optimal choice and location of FACTS devices in deregulated power systems using Differential Evolution algorithm. The main objective of this paper is to achieve the power system economic generation allocation and dispatch in deregulated electricity market. Using the proposed method, the locations of the FACTS devices, their types and ratings are optimized simultaneously. Different kinds of FACTS devices such as TCSC and SVC are simulated in this study. Furthermore, their investment costs are also considered. Simulation results validate the capability of this new approach in minimizing the overall system cost function, which includes the investment costs of the FACTS devices and the bid offers of the market participants. The proposed algorithm is an effective and practical method for the choice and location of suitable FACTS devices in deregulated electricity market.
[1] L.J. Cai, I. Erlich and G. Stamtsis, “Optimal choice and allocation of
FACTS devices in deregulated electricity markets using genetic
algorithms”, IEEE Power Engineering Society Power System
Conference and Exposition, vol. 1, pp 201-207, October 2004.
[2] S.C. Srivastava and R.K. Verma, “Impact of FACTS devices on
transmission pricing in a deregulated electricity market”, International
Conference on Electric Utility Deregulation and Restructuring and
Power Technologies, pp 642– 648, April 2000.
[3] E. Handschin and C. Lehmkoster, “Optimal Power Flow for Deregulated
System with FACTS Devices”, Proc. 13th PSCC, Trondheim, Norway,
pp.1270-1276, June1999.
[4] J.D. Finney, H.A. Othman, W.L. Rutz, “Evaluating transmission
congestion constraints in system planning”, IEEE Trans. on
PowerSystems, vol. 12, pp. 1143-1150, August 1997.
[5] G.C. Stamtsis, “Power Transmission Cost Calculation in Deregulated
Electricity Market”, Logos Verlag Berlin, ISBN 3-8325-0452-4, Berlin
2004.
[6] S. Gerbex, R. Cherkaoui, and A. J. Germond, “Optimal location of
multitype FACTS devices in a power system by means of genetic
algorithms”, IEEE Trans. Power Systems, vol. 16, pp. 537-544, August.
2001.
[7] L.J. Cai, “Robust Coordinated Control of FACTS Devices in Large
Power Systems“, Logos Verlag Berlin, ISBN 3-8325-0570-9, Berlin
2004.
[8] Lijun Cai and Istvan Erlich, “Optimal Choice and Allocation of FACTS
Devices using Genetic Algorithms”, ISAP, Intelligent System
Application to Power System, Lemnos, Greece, August 31 – September
3, 2003.
[9] T. S. Chung, and Y. Z. Li, “A hybrid GA approach for OPF with
consideration of FACTS devices”, IEEE Power Engineering Review,
pp.47-57, February. 2001. M. Young, the Technical Writers Handbook.
Mill Valley, CA: University Science, 1989.
[10] R. Storn, “Differential Evolution, A Simple and Efficient Heuristic
Strategy for Global Optimization over Continuous Spaces”, Journal of
Global Optimization, Vol. 11, Dordrecht, pp. 341-359, 1997.
[11] Price, K.V. (1999), “An Introduction to Differential Evolution” in
Corne, D., Dorigo, M. and Glover, F. (Eds), New Ideas in Optimization,
McGraw- Hill, London.
[12] Storn, R. and Price, K., “Differential Evolution - A Simple and Efficient
Heuristic for Global Optimization over Continuous Spaces”, Journal of
Global Optimization, vol. 11, pp. 341–359, 1997.
[13] Mrs. S. Latha, Mrs. Raja Mary Slochanal & Mr. K. Balamurugan,
Optimum size and Location of UPFC Using the Method of Evolutionary
Programming, IE-Journal (EL), Vol-83, Page No. 242 to 245, Dec-
2002.
[1] L.J. Cai, I. Erlich and G. Stamtsis, “Optimal choice and allocation of
FACTS devices in deregulated electricity markets using genetic
algorithms”, IEEE Power Engineering Society Power System
Conference and Exposition, vol. 1, pp 201-207, October 2004.
[2] S.C. Srivastava and R.K. Verma, “Impact of FACTS devices on
transmission pricing in a deregulated electricity market”, International
Conference on Electric Utility Deregulation and Restructuring and
Power Technologies, pp 642– 648, April 2000.
[3] E. Handschin and C. Lehmkoster, “Optimal Power Flow for Deregulated
System with FACTS Devices”, Proc. 13th PSCC, Trondheim, Norway,
pp.1270-1276, June1999.
[4] J.D. Finney, H.A. Othman, W.L. Rutz, “Evaluating transmission
congestion constraints in system planning”, IEEE Trans. on
PowerSystems, vol. 12, pp. 1143-1150, August 1997.
[5] G.C. Stamtsis, “Power Transmission Cost Calculation in Deregulated
Electricity Market”, Logos Verlag Berlin, ISBN 3-8325-0452-4, Berlin
2004.
[6] S. Gerbex, R. Cherkaoui, and A. J. Germond, “Optimal location of
multitype FACTS devices in a power system by means of genetic
algorithms”, IEEE Trans. Power Systems, vol. 16, pp. 537-544, August.
2001.
[7] L.J. Cai, “Robust Coordinated Control of FACTS Devices in Large
Power Systems“, Logos Verlag Berlin, ISBN 3-8325-0570-9, Berlin
2004.
[8] Lijun Cai and Istvan Erlich, “Optimal Choice and Allocation of FACTS
Devices using Genetic Algorithms”, ISAP, Intelligent System
Application to Power System, Lemnos, Greece, August 31 – September
3, 2003.
[9] T. S. Chung, and Y. Z. Li, “A hybrid GA approach for OPF with
consideration of FACTS devices”, IEEE Power Engineering Review,
pp.47-57, February. 2001. M. Young, the Technical Writers Handbook.
Mill Valley, CA: University Science, 1989.
[10] R. Storn, “Differential Evolution, A Simple and Efficient Heuristic
Strategy for Global Optimization over Continuous Spaces”, Journal of
Global Optimization, Vol. 11, Dordrecht, pp. 341-359, 1997.
[11] Price, K.V. (1999), “An Introduction to Differential Evolution” in
Corne, D., Dorigo, M. and Glover, F. (Eds), New Ideas in Optimization,
McGraw- Hill, London.
[12] Storn, R. and Price, K., “Differential Evolution - A Simple and Efficient
Heuristic for Global Optimization over Continuous Spaces”, Journal of
Global Optimization, vol. 11, pp. 341–359, 1997.
[13] Mrs. S. Latha, Mrs. Raja Mary Slochanal & Mr. K. Balamurugan,
Optimum size and Location of UPFC Using the Method of Evolutionary
Programming, IE-Journal (EL), Vol-83, Page No. 242 to 245, Dec-
2002.
@article{"International Journal of Electrical, Electronic and Communication Sciences:65533", author = "K. Balamurugan and V. Dharmalingam and R. Muralisachithanandam and R. Sankaran", title = "Differential Evolution Based Optimal Choice and Location of Facts Devices in Restructured Power System", abstract = "This paper deals with the optimal choice and location of FACTS devices in deregulated power systems using Differential Evolution algorithm. The main objective of this paper is to achieve the power system economic generation allocation and dispatch in deregulated electricity market. Using the proposed method, the locations of the FACTS devices, their types and ratings are optimized simultaneously. Different kinds of FACTS devices such as TCSC and SVC are simulated in this study. Furthermore, their investment costs are also considered. Simulation results validate the capability of this new approach in minimizing the overall system cost function, which includes the investment costs of the FACTS devices and the bid offers of the market participants. The proposed algorithm is an effective and practical method for the choice and location of suitable FACTS devices in deregulated electricity market.
", keywords = "FACTS Devices, Deregulated Electricity Market, Optimal Location, Differential Evolution, Mat Lab. ", volume = "7", number = "2", pages = "189-9", }
