EFFECT OF LOAD LEVELS ON SIZING AND LOCATION OF CAPACITORS IN DISTRIBUTION SYSTEMS

A distribution system is an interface between the bulk power system and the consumers. Among these systems, radial distributions system is popular because of low cost and simple design. In distribution systems, the voltages at buses decreases proportionally, when moved away from the substation, also the losses increases quadraticaly. The reason for decrease in voltage and increase in losses is the insufficient amount of reactive power, which can be provided by the shunt capacitors. But the placement of the capacitor with appropriate size is always a challenge. Thus the optimal capacitor placement problem is to determine the location and size of capacitors to be placed in distribution networks in an efficient way to reduce the power losses and improve the voltage profile of the system. For this purpose, in this paper, the load flow of pre-compensated distribution system is carried out using ‘dimension reducing distribution load flow algorithm (DRDLFA)’. On the basis of this load flow the potential locations of compensation are computed. And then, Differential Evolution (DE) Algorithm is used to determine the optimal location and size of the capacitors. The above method is tested on IEEE 69 bus system and compared with other methods like Genetic Algorithm.

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

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

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

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

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

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

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

[8]  P. S. Subramanyam,et al.  Optimal Capacitor Placement in Distribution Networks Using Genetic Algorithm: A Dimension Reducing Approach for Different Load Levels , 2012 .

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

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

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

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

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

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

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

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

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

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