LOSS REDUCTION IN RADIAL DISTRIBUTION SYSTEM BY OPTIMAL PLACEMENT OF CAPACITOR USING DIFFERENTIAL EVOLUTION METHOD

Distribution system plays an important role in supplying the electricity from generation to the consumers via transmission system. The power system is one of the most complex systems in the world. Because of the high R/X value the losses in the distribution system is more. The one of the roles of capacitor is reducing the losses in the distribution system. This paper presents an improved method for capacitor placement with optimum size in radial distribution feeders to reduce the real power loss and to improve the voltage profile. In this paper, the total work is mainly divided in to three sections. In the first section load flow of the system. In the section -II location and size of the capacitors is determined by using Differential Evolution and In the section-III the results are compared with existing method which is proposed by D.Das.

[1]  M. Sydulu,et al.  Particle Swarm Optimization Based Capacitor Placement on Radial Distribution Systems , 2007, 2007 IEEE Power Engineering Society General Meeting.

[2]  Timothy J. E. Miller,et al.  Reactive Power Control In Electric Systems , 1982 .

[3]  Anil Pahwa,et al.  Optimal selection of capacitors for radial distribution systems using a genetic algorithm , 1994 .

[4]  R.K. Aggarwal,et al.  Genetic algorithms for optimal reactive power compensation on the National Grid system , 2005, IEEE Power Engineering Society Summer Meeting,.

[5]  Debapriya Das,et al.  Optimal placement of capacitors in radial distribution system using a Fuzzy-GA method , 2008 .

[6]  M. E. Baran,et al.  Optimal capacitor placement on radial distribution systems , 1989 .

[7]  R. Storn,et al.  Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series) , 2005 .

[8]  R. M. Saloman Danaraj,et al.  An Algorithm for Radial Distribution Power Flow in Complex Mode Including Voltage Controlled Buses , 2007 .

[9]  R. Storn,et al.  Differential Evolution - A simple and efficient adaptive scheme for global optimization over continuous spaces , 2004 .

[10]  Rainer Storn,et al.  Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..

[11]  R. Storn,et al.  On the usage of differential evolution for function optimization , 1996, Proceedings of North American Fuzzy Information Processing.

[12]  R. S. Bhatia,et al.  Optimal capacitor placement in radial distribution system , 2014, 2014 IEEE 6th India International Conference on Power Electronics (IICPE).

[13]  P. Pillay,et al.  The use of the genetic algorithm for in-situ efficiency measurement of an induction motor , 2000, 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077).

[14]  Chao-Shun Chen,et al.  Optimal distribution feeder capacitor placement considering mutual coupling effect of conductors , 1995 .

[15]  Pablo Cuervo,et al.  CAPACITOR PLACEMENT IN RADIAL DISTRIBUTION NETWORKS THROUGH A LINEAR DETERMINISTIC OPTIMIZATION MODEL , 2005 .

[16]  Rainer Storn,et al.  Differential Evolution-A simple evolution strategy for fast optimization , 1997 .

[17]  Turan Gonen,et al.  Electric power distribution system engineering , 1985 .

[18]  R.K. Aggarwal,et al.  Genetic algorithms for optimal reactive power compensation on the national grid system , 2005, IEEE Transactions on Power Systems.