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FACTS, TCSC, SVC, Genetic
This paper presents a non traditional optimization technique, genetic algorithm to seek the optimal allocation, type and size of FACTS devices to control line flows, to maintain bus voltage to desired level and to minimize system losses. The targeted objectives are maximizing the static security margins and voltage stability while minimizing losses. Congestion management is also done by optimally placing FACTS controllers with line outage. Matlab coding has been developed for the purpose of simulation. Assessments are done on IEEE 30 bus system against different loading conditions with two FACTS devices SVC and TCSC implemented in steady state and the results verify the potency of propound algorithm to find the optimal location for power system stability.
Anju Gupta, P.R.Sharma, "Application of GA for Optimal Location of FACTS Devices for Steady State Voltage Stability Enhancement of Power System", International Journal of Intelligent Systems and Applications(IJISA), vol.6, no.3, pp.69-75, 2014. DOI:10.5815/ijisa.2014.03.07
D.J.Gotham and G.T.Heydt, “Power flow control and power flow studies for ystem with FACTS devices,” IEEE Tran. Power system vol 13, no 1,Feb 1998.
M.Noroozian ,G,anderson, “Power Flow Control by use of controllable series component,”IEEE trans. Power Delivery,Vol 8,No 3,pp 1420-1429,july 1993.
F.D.GaGaliana,K.Almeida,“Assesment and control of the impact of FACTS devices on power system performance ,”IEEE Tran. Power System,vol 11,No 4,pp 1931-1936,Nov 1991.
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.
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.andA Gerbex,R Cherkaoui.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.
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 Systems Using a Genetic Algorithm Based Method,” IEEE Bucharest Power Tech Conference,2009
Lijun Cai and Istvan Erlich, “Optimal Choice and Allocation of FACTS devices using Genetic Algorithm,” ISAP Intelligent systems applications to power systems 2003, Lemnos Greece, August31-september 3.
N.P.Panday, “Artificial Intelligence and Intelligent Systems,” OXFORD university press, New Delhi, 2005.
L.J.Cai, I.Erlich, G.Stamtsis, “Optimal Choice and Allocation of FACTS Devices in Deregulated Electricity Market using Genetic Algorithms,” IEEE conference 2004(103).
El Metwally, M.M, El Emary,A.A.,El Bendary, F.M, “Optimal allocation of FACTS devices using genetic algorithm,”IEEE Power system conference, 2008, MEPCON 2008,pp 1-4.
Tiwari, P.K, Sood, Y.R, “Optimal Location of FACTS devices in power system using genetic Algorithm,” Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on, pp 1034-1040.
Singh, D.Verma, K.S, “GA based congestion management in deregulated power system using FACTS devices,” Utility Exhibition on Power and Energy Systems: Issues & Prospects for Asia (ICUE), 2011 International Conference, pp 1-6.
Keshi Reddy Saidi Reddy, Narayan Prasad Padhy, Patel, R.N (2006), “Congestion management in Deregulated Power System using FACTS Devices,” International conference on IEEE Power India,2006
Saravanan, M., Slochanal, S.M.R.,Venkatesh, P.,Abraham, P.S, “Application of PSO technique for optimal location of FACTS devices considering system loadability and cost of installation,” The 7th International Power Engineering Conference, 2005. IPEC 2005, pp 716 - 721 Vol. 2.