تعداد نشریات | 418 |
تعداد شمارهها | 10,004 |
تعداد مقالات | 83,629 |
تعداد مشاهده مقاله | 78,547,325 |
تعداد دریافت فایل اصل مقاله | 55,625,369 |
Optimal Location and Parameter Settings of UPFC Device in Transmission System based on Imperialistic Competitive Algorithm | ||
journal of Artificial Intelligence in Electrical Engineering | ||
مقاله 5، دوره 1، شماره 2، آذر 2012، صفحه 43-53 اصل مقاله (435.04 K) | ||
چکیده | ||
In this paper, we present a new method to determine the optimal location and parameter settings of Unified Power Flow Controller (UPFC) for removing voltage violations and transmission lines overloading. UPFC is considered as the most powerful member of the FACTS devices, that it can control shunt and series power flow. This option gives to UPFC the power to control the voltage profile and transmission lines flow simultaneously. We used the Imperialistic Competitive Algorithm (ICA) to determine the optimal location and optimal parameter settings of UPFC to improve the performance of the power system specially removing voltage violations in the buses and solving transmission lines overloading to increase loadability in the power networks. This procedure is proposed to be applied on IEEE 14 bus system to show the validity of the method. | ||
کلیدواژهها | ||
Imperialistic Competitive Algorithm (ICA)؛ Loadability؛ Optimal Location؛ Optimal settings Unified Power Flow Controller (UPFC)؛ voltage profile | ||
مراجع | ||
[1] N. Hingorani, "Power Electronics in electrical utilities: role of power electronics in future power systems", Proceedings of the IEEE, Vol. 76 No. 4 Apr. 1988, pp. 481-482. [2] L. Gyugyi, "A Unified Power Flow Control concept for Flexible AC transmission system", IEEE Proc., Part-C, Vol. 139, No.4 Jul. 92, pp. 323-331. [3] C. R. Puerle-Esquivel and E. Acha, "A newton-type algorithm for the control of power flow in electrical power networks", IEEE Trans. Power System, Vol. 12, no. 4, Nov. 1997, pp. 1474-1480. [4] S. N. Singh, I. Erlich, "Locating unified power flow controller for enhancing power system loadability", International Conference on Future Power System, 16-18 Nov. 2005. [5] Fang, W.L. and Ngen, H.W. "Control setting of unified power flow controllers through the robust load flow calculation", IEE Proc. Gener. Transm. Distribution, 1999, 146, pp. 1-5. [6] Ramirez, J.M. Davalos, R.J. and Valenzuela Coronado, "FACTS based stabilizers coordination", Electr. Power Energy Sys. 2002, pp. 233-243. [7] L. Ippolito and P. Siano, " Selection of optimal number and location of thyristor-controlled phase shifter using Genetic based algorithm", IEE Proc. Gener. Transm. Distrib. Vol. 151, No. 5, Sept. 2004. [8] D .Radu, etalr, "A multi-objective Genetic algorithm approach to optimal allocation of FACTS devices for power system security", IEEE power engineering society general meeting, 18-22, Jun 2006. [9] F. DGaliana, K. Almeida, M.Toussiant, J. Griffin, D. Atanackovice, "Assessment and control of FACTS devices on power performance", System IEEE Trans. Power Systems, Vol. 11 Nov. 96. [10] S. H. Kim, J. U. lim, S. Moon, "Enhancement of power system security level through the power flow control of UPFC", proceeding of the IEEE/PES summer meeting, pp. 30-43, 2000. [11] Ahmed M. Othman, Alexander Guan, Matti Lehtonen, Mahdi El-Arini, "Real world optimal UPFC placement and it's impact on reliability", Recent advances in energy & environment journal, 2010, pp. 90-96. [12] M. Z. El-Sadek, M. Abo-Zahhad, A. Ahmed, H. E. Zidan, "Effect of load representation on UPFC performance and optimal placement", The 11th international meddle east power systems conference, MEPCON, 2006, pp. 213-220. [13] Ahmed M. Othamn, Matti Lehtonen and Mahdi M. El-Arini, "Optimal UPFC based Genetics Algorithm to improve the Steady-State Performance of HELENSAHKOVVERKKO OY 110kv Network at Increasing the Loading Pattern", Environment and Electrical Engineering (EEEIC), , 2010. [14] R. L. Haupt and S. E. Haupt, "Practical Genetic Algorithms", Second Edition, New Jersey, John Wiley & Sons, 2004, pp. 162-166. [15] M. Melanie,"An introduction to Genetic Algorithms", Massachusetts, MIT Press, 1999. | ||
آمار تعداد مشاهده مقاله: 919 تعداد دریافت فایل اصل مقاله: 640 |