Optimal Sizing and Siting of UPFC by HBMO algorithm in Power System

Publish Year: 1394
نوع سند: مقاله کنفرانسی
زبان: English
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COMCONF01_466

تاریخ نمایه سازی: 8 آذر 1394

Abstract:

Main contribution of this context is determining size and site Unified Power Flow Controller (UPFC) to improve several parameters of power system. The UPFC is regarded as one of the most versatile devices in the Flexible AC Transmission Systems (FACTS) device family. The proposed objective function is formulated to modify loadability margin and minimize power loss as well as improve voltage profile. This problem is optimized by Honey Bee Mating Optimization (HBMO) algorithm. The HBMO algorithm is one of particle swarm techniques which can be solved this complex nonlinear problem. Capability of the HBMO algorithm is confirmed by simulating on IEEE test system and comparing its results with genetic algorithm

Authors

Seyed Mohammad Shariatmadar

Assistant Professor Department of Electrical Engineering, Naragh Branch, Islamic Azad University, Naragh, Iran

Alireza Jelodarian

Department of Electrical Engineering, Naragh Branch, Islamic Azad University, Naragh, Iran

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  • Gyugyi, L. (1991). A Unified Power Flow Control Concept for ...
  • Lashkar Ara, A., Aghaei, J., Alaleh, M., Barati, H. (2013). ...
  • Ghahremani, E., Kamwa, I. (2012). Optimal placement of multiple-type FACTS ...
  • Nagalakshmi, S., Kamaraj, N. (2011). Secured loadability enhancement with UPFC ...
  • Duong, T.L., Jian Gang, Y., Anh Truong, _ (2014). Application ...
  • Saravanan, M., Mary Raja Slochanal, S., Venkatesh, P., Prince Stephen ...
  • Kumar, A., Sekhar, Ch. (2013). Congestion management with FACT devices ...
  • Nagalakshmi, S., Kamaraj, N. (2013). On-line evaluation of loadability limit ...
  • Modi, P.K., Singh, S.P., Sharma, J.D. (2005). Loadability margin calculation ...
  • Nagalakshmi, S., Kamaraj, N. (2012). Comparison of computational intelligence algorithms ...
  • Tara Kalyani, S., Tulasiram Das, G. (2008). Simulation of real ...
  • Mailah, N.F.. B ashi , N.Marium, S.M., Aris, I. (208). ...
  • Mete Vural, A., Tumay, M. (2007). _ modeling and analysis ...
  • Poli, R, Kennedy, J. (2007). Particle SWarm optimization: an overview, ...
  • Clerc M, Kennedy J. The Particle SWarm- explosion, stability, and ...
  • Niknam, T., (2009). An efficient hybrid evolutionary algorithm based on ...
  • Afshar, A., Haddad, O.B., Marino, M.A. Adams, B.J. (2007). Honey-bee ...
  • Hadad, O.B., Afshar, A., Mario, M.A. (2006). Honey-bee mating optimization ...
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