Optimal Placement of UPFC for Voltage Constrained Loss Minimization Using Self-Adaptive Firefly Algorithm


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Abstract


This paper presents the identification of optimal location and parameter of Unified Power Flow Controller (UPFC) in power system network. The objective is to minimize the transmission loss besides keeping the voltage magnitude within the acceptable range. Using proposed strategy, the location of UPFCs and their parameter are optimized simultaneously. Self Adaptive Firefly Algorithm (SAFA) is proposed to solve the above optimization problem for better accuracy. The UPFC placement strategy is tested on three IEEE test systems and their results are presented to demonstrate its effectiveness


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Keywords


Firefly Algorithm; Loss Minimization; UPFC; Voltage Profile

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References


N. G. Hingorani,I.Gyugyi, Understanding FACTS concepts and technology of flexible AC transmission systems (New York:IEEE Press,2000).

R.M.Mathur,R.K.Varma, Thyristor-based FACTS controllers for electrical transmission systems(Piscataway: IEEE Press,2002).

H.Ambriz-perez,E.Achaand,C.R.Fuerte-Esquivel, Advanced SVC models for Newton Raphson load flow and Newton optimal power flow studies, IEEE Transaction. on Power System,vol.15,2000, pp.129-1360.

T.Orfanogianni, A Flexible software environment for steady state power flow optimization with series FACTS devices, DScTech. dissertation, ETH., Zurich, 2000.

E.V.Larsen,K.Clark,S.A.Miske,Jr.,J.Urbanek, Characteristic and rating considerations of thyristor controlled series compensation, IEEE Transaction Power Delivery,vol.9, 1994,pp.992-1000.

L.Gyugyi, Unified power flow controler concept for flexible AC transmission system,”in IEE proceedings, vol.ss139 n.4, July, 1992,pp.323-331.

X. S. Yang, Nature-Inspired Meta-Heuristic Algorithms (2nd ed., Beckington, Luniver Press,2010).

X.S.Yang, Firefly algorithms for multimodal optimization, Stochastic algorithms: Foundations and applications, SAGA 2009, (LNCS, Berlin, Germany: Springer-Verlag, 2009, vol. 5792, 169-178).

S.Gerbex, R.Cherkaom, A.J.Germond, Optimal location of multi type FACTS devices in a power systems by means of genetic algorithms, IEEE Transaction on Power Systems.vol.16 n.3,2001, pp.537-544.

M. Saravanan, S. M. R. Slochanal, P. Venkatesh, J. P. S. Abraham, Application of particle swarm optimization technique for optimal location of FACTS devices considering cost of installation and system loadability, Electrical Power System Research, vol.77,2007, pp. 276-283.

D. Mondal, A. Chakrabarti, A. Sengupta, Optimal placement and parameter setting of SVC and TCSC using PSO to mitigate small signal stability problem, International Journal of Electrical Power & Energy Systems, vol.42 n.1, Nov. 2012,pp. 334–340.

Kowsalya, M., Vijayapriya, P., Geethanjali, P., Kothari, D.P., A new index for voltage stability monitoring and enhancement using UPFC and optimization through PSO, (2011) International Review on Modelling and Simulations (IREMOS), 4 (2), pp. 865-873.

R. Mohamid Idris, A. Khairuddin, M.W.Mustafa, Optimal allocation of FACTS devices for ATC enhancement using Bees algorithm, World Academy of science Engineering and Technology, n.30,2009, pp.313-320.

M. Tripathy and S. Mishra, Bacteria foraging based solution to optimize both real power loss and voltage stability limit, IEEE Transaction on Power System.,vol.22 n. 1,2007,pp.240-248.

M.Senthil Kumar, P Renuga., Application of UPFC for enhancement of voltage profile and minimization of losses using fast voltage stability index(FVSI), Archives of Electrical Engineering Journal, vol.61 n.2, Jun. 2012, pp 239-250.

T. Apostolopoulos, A. Vlachos, Application of the Firefly algorithm for solving the economic emissions load dispatch problem, International Journal of Combinatorics, vol.2011 n. 523806, 2011, p.23.

Taher Niknam, Rasoul Azizipanah-Abarghooee, Alireza Roosta, Reserve Constrained Dynamic Economic Dispatch: A New Fast Self-Adaptive Modified Firefly Algorithm, IEEE System Journal, vol.6,n. 4, Dec 2012,pp 635-646.

X.S. Yang, S.S. Hosseini, A.H. Gandomi, Firefly algorithm for solving non-convex economic dispatch problems with valve loading effect, Applied Soft Computing, vol. 12, Issue 3, Mar. 2012, pp.180- 1186.

R Falcon, M Almeida, A. Nayak, Fault identification with binary adaptive fireflies in parallel and distributed systems, in proc. IEEE Congress on Evolutionary Computation, Jun. 2011.pp.1359-1366.

K Chandrasekaran, S. P. Simon, Network and reliability constrained unit commitment problem using binary real coded firefly algorithm, International Journal of Electrical Power & Energy Systems, vol.43 n.1, Dec. 2012, pp. 921–932.

Power Systems Test Case, The University of Washington Archive,[Online].Available: http://www.ee.washington.edu/research/pstca/, 2000.


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