Fuzzy Based Multi-Objective Evolutionary Algorithm for Optimal Location of FACTS Devices in a Power System
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This paper presents a Multi Objective Evolutionary Algorithm (MOEA) to solve nonlinear power system optimization problem. The optimization is done with three variables; choice, location and rating of FACTS devices. The targeted technical objectives are; to control the power flow, increase the transmission line capability to its maximum thermal limits, to keep the voltages within limits while minimizing losses. The parameters of objectives are optimized independently and then the formulation of a nonlinear constrained multi-objective optimization problem is done while carrying out concurrent optimization taking two and three objectives. A Fuzzy min max approach is incorporated to reduce the best solution out of non dominated Pareto optimal set. Assessments have been done on IEEE 14 and IEEE 30 bus system for different loading conditions with two devices SVC and TCSC modeled in steady state and the results affirm the potency of the propound approach.
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D.J.Gotham and G.T.Heydt,”Power flow control and Power flow
studies for system with FACTS devices ,”IEEE Trans. Power
Systems ,vol 13,no 1,1998
M.A. Al-Biati, M.A. El-Kady,.A.Al-Ohaly, “Dynamic stability improvement via coordination of Static Var Compensator and power system stabilizer control actions,” Electric Power system Research, Volume 58, Issue 1, 21 May 2001, Pages 37–
F.D Galians, K,Almeida, M,Toussaint, J,Groffin and Atanackovic,“Assessment and control of impact of FACTS devices on power system performance,” IEEE Trans.
Power System, Vol 11, no 4, Nov 1996
P. Kessel and H.Glavitsch, july 1996, “Estimating the voltage stability of power system,” IEEE Transaction on Power Delivery, vol.1,No 3 pp346- 352.
C.T.T.Lie and W.Deng,”Optimal flexible AC transmission
systems(FACTS) devices allocation ,”Electrical power and energy Systems,vol 19,No 2,pp 125-134,1997.
S. N. Singh and A.K.David,”Congestion management by
optimizing FACTS Devices location”,Electric Power system
Research vol 58,pp71-79,2001.
S.N.Singh, A.K.David,” A new approach for placement of
FACTS devices in open Power markets,”IEEE Power
Engineering ,Vol 9,pp 58-60.
K.R.C Mamandur and R.D. Chenoweth,” Optimal Control of Reactive Power flow for Improvements in Voltage profiles and for real loss minimization,” IEEE Tran. On Power Apparatus and Systems ,vol PAS-100,No 7,1981,pp 3185-3193.
K.Iba ,” Reactive Power Optimization by Genetic Algorithm,”
IEEE Trans. On Power Ssytem,Vol 9,No 2 1994,pp 685-692.
J.Baskaran V.Palanisamy,”Optimal Location of FACTS device
in a power system network considering power loss using genetic
algorithm”EE pub on lone journal, march 7,2005.
Pisica,C,Bulac,L Toma ,M,Eremia,” Optimal SVC Placement in
Electric Power Ssytems Using a Genetic Algorithm Based
Method” IEEE Bucharest Power Tech Conference,2009.
S.Gerbex,R Cherkaoui and A.J.Germond ,”Optimal Location of
multi-type FACTS devices by means of genetic algoritm,”IEEE
Trans.Power system, vol 16,pp. 537-544,August 2001.
Lijun Cai and Istvan Erlich ,”Optimal Choice and Allocation of
FACTS devices using Genetic Algorithm,”ISAP Intelligent
Systems Application to Power
System,2003,Lemnos,Greece,August 31-september 3 2003.
C.M Fonseca and P.J. Fleming” An overview of Evolutionary
based Multi-objective optimization,” Evolutionary Computation,
Vol 3, No 1 , 1995,pp 1-16.
E.Zitzler and L.Thiele ,”An Evolutionary Algorithm for Multi-
objective optimization :The strength Pareto Approach,” Swiss
Federal Institute of Technology, TIK report ,No 43 ,1998.
C.A.C Coello,”A comprehensive Survey of Evolutionary
algorithm in multiobjective optimization,”Evolutionary
computation,vol 3,No 1 ,1995,pp1-16.
E.Zitzler and L. Thiele, “Multi-objective Evolutionary
Algorithms: A comparative Case Study and the Strength
Pareto Approach,” IEEE Trans. on Evolutionary
Computation, vol.3, no. 4, pp. 257-271, Nov. 1999.
M.A Abido, Member IEEE ,”Multoobjective Optimal VAR Dispatch using Strength Pareto Evolutionary Algorithm,” IEEE congress on Evolutionary Computation, july 2006.
B. Venkatesh, G. Sadasivam and M. Abdullah Khan, “A New
Optimal Power Scheduling Method for Loss Minimization and Voltage Stability Margin Maximization Using Successive Multiobjective Fuzzy LP Technique,” IEEE Trans. on Power Systems, vol. 15, no. 2, pp. 844-851, May. 2000.
H. Dommel and W. Tinney, "Optimal Power Flow Solutions, " IEEE Trans. Power Apparatus and Systems, vol. PAS-87, no10,pp. 866-1876, Oct.. 1968.
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