Optimal location and sizing of Unified Power Flow Controller (UPFC) to improve dynamic stability: A hybrid technique

Abstract In this paper a hybrid technique based optimal location and sizing of UPFC to improve the dynamic stability is proposed. Here, the maximum power loss bus is identified at the most favorable location for fixing the UPFC, because the generator outage affects the power flow constraints such as power loss, voltage, real and reactive power flow. The optimum location has been determined using the Artificial Bees Colony (ABC) algorithm. Depending on the violated power flow quantities the Gravitational Search Algorithm (GSA) optimizes the required quantity of the UPFC to recover the initial operating condition. Then the proposed work is implemented in the MATLAB/simulink platform and the performance is evaluated by using the comparison, at different techniques like ABC and GSA. The comparison results demonstrate the superiority of the proposed approach and confirm its potential to solve the problem.

[1]  Rachid Cherkaoui,et al.  Optimal location of FACTS devices to enhance power system security , 2003, 2003 IEEE Bologna Power Tech Conference Proceedings,.

[2]  P. Ashmole,et al.  Flexible AC transmission systems , 1995 .

[3]  V. P. Rajderkar,et al.  Optimal Location of Series FACTS Devices for Enhancing Power System Security , 2011, 2011 Fourth International Conference on Emerging Trends in Engineering & Technology.

[4]  J.H. Chow,et al.  A common modeling framework of voltage-sourced converters for load flow, sensitivity, and dispatch analysis , 2004, IEEE Transactions on Power Systems.

[5]  Seyed Abbas Taher,et al.  New approach for optimal UPFC placement using hybrid immune algorithm in electric power systems , 2012 .

[6]  Abdelaziz Laifa,et al.  Optimal placement and parameter settings of unified power flow controller device using a perturbed particle swarm optimization , 2010, 2010 IEEE International Energy Conference.

[7]  S. Durairaj,et al.  Optimal placement of facts devices , 2008 .

[8]  Jigar S.Sarda,et al.  Genetic Algorithm Approach for Optimal locationof FACTS devices to improve system loadabilityand minimization of losses , 2012 .

[9]  K. Sumathi,et al.  Optimal Location of FACTS Devices by Evolutionary Programming Based OPF in Deregulated Power Systems , 2012 .

[10]  S. J. Cheng,et al.  Application and comparison of computational intelligence techniques for optimal location and parameter setting of UPFC , 2010, Eng. Appl. Artif. Intell..

[11]  D. Devaraj,et al.  Genetic algorithm based reactive power dispatch for voltage stability improvement , 2010 .

[12]  Chaohua Dai,et al.  Reactive power dispatch considering voltage stability with seeker optimization algorithm , 2009 .

[13]  Aloysius George,et al.  Fuzzy Aided Ant Colony Optimization Algorithm to Solve Optimization Problem , 2012, ISI.

[14]  M. Kalantar,et al.  Reactive power rescheduling with generator ranking for voltage stability improvement , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[15]  Amin Safari,et al.  Optimal location of PWM based series compensator in a power system , 2013 .

[16]  T. Bouktir,et al.  GA Coordinated with Practical Fuzzy Rules with Multi Shunt FACTS Devices to Enhance the Optimal Power Flow , 2007, EUROCON 2007 - The International Conference on "Computer as a Tool".

[17]  T. Nireekshana,et al.  Enhancement of ATC with FACTS devices using Real-code Genetic Algorithm , 2012 .

[18]  Hiroyuki Mori,et al.  A parallel tabu search based method for determining optimal allocation of FACTS in power systems , 2000, PowerCon 2000. 2000 International Conference on Power System Technology. Proceedings (Cat. No.00EX409).

[19]  A. R. Phadke,et al.  Multi-objective fuzzy-GA formulation for optimal placement and sizing of shunt FACTS controller , 2009, 2009 International Conference on Power Systems.

[20]  M. Rajaram,et al.  Optimal location of FACTS devices using Improved Particle Swarm Optimization , 2013 .

[21]  G. B. Shrestha,et al.  Allocation of TCSC devices to optimize total transmission capacity in a competitive power market , 2001, 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194).

[22]  G. Panda,et al.  Fault Classification and Section Identification of an Advanced Series-Compensated Transmission Line Using Support Vector Machine , 2007, IEEE Transactions on Power Delivery.

[23]  M. Kalantar,et al.  Optimal reactive power dispatch based on harmony search algorithm , 2011 .

[24]  G. I. Rashed,et al.  Optimal location and parameter setting of UPFC for enhancing power system security based on Differential Evolution algorithm , 2011 .

[25]  Georgios C. Stamtsis,et al.  Optimal choice and allocation of FACTS devices in deregulated electricity market using genetic algorithms , 2004, IEEE PES Power Systems Conference and Exposition, 2004..

[26]  M. Rajaram,et al.  Active and Reactive Power Flow Control using FACTS Devices , 2010 .