AN APPROACH TO REDUCE REAL POWER LOSSS USING HARMONY SEARCH ALGORITHM

This paper presents a new methodology using Fuzzy and Harmony Search algorithm for the placement of DG units in electrical distribution systems to reduce the power losses and to improve the voltage profile. Electrical energy plays an important role in day-to-day life. Keen interest is taken on all possible sources of energy from which it can be generated and this led to the encouragement of generating electrical power using renewable energy resources such as solar, tidal waves and wind energy. Due to the increasing interest on renewable sources in recent times, the studies on integration of distributed generation to the power grid have rapidly increased. The distributed generation (DG) sources are added to the network mainly to reduce the power losses by supplying a net amount of power. In order to minimize the line losses of power systems, it is equally important to define the size and location of local generation. There have been many studies, to define the optimum location of distributed generation. In this paper, Fuzzy approach is used to find the optimal locations of DG units and harmony search algorithm based on intelligent behavior of crows for finding optimal locations and sizes of PV and capacitor simultaneously. The suggested method is programmed under MATLAB software and is tested on 15-bus and 33-bus test systems and the results are presented.

[1]  Y. G. Bae,et al.  Analytical Method of Capacitor Allocation on Distribution Primary Feeders , 1978, IEEE Transactions on Power Apparatus and Systems.

[2]  J. Grainger,et al.  Optimum Size and Location of Shunt Capacitors for Reduction of Losses on Distribution Feeders , 1981, IEEE Transactions on Power Apparatus and Systems.

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

[4]  Felix F. Wu,et al.  Network Reconfiguration in Distribution Systems for Loss Reduction and Load Balancing , 1989, IEEE Power Engineering Review.

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

[6]  D. Das,et al.  Simple and efficient method for load flow solution of radial distribution networks , 1995 .

[7]  Shesha H. Jayaram,et al.  Capacitor placement in distribution systems using heuristic search strategies , 1997 .

[8]  Mohammed H. Haque Capacitor placement in radial distribution systems for loss reduction , 1999 .

[9]  M. Salama,et al.  Capacitor allocation by approximate reasoning: fuzzy capacitor placement , 2000 .

[10]  RAKESH RANJAN,et al.  Simple and Efficient Computer Algorithm to Solve Radial Distribution Networks , 2003 .

[11]  V. C. Veera Reddy,et al.  CAPACITOR PLACEMENT USING FUZZY AND PARTICLE SWARM OPTIMIZATION METHOD FOR MAXIMUM ANNUAL SAVINGS , 2008 .

[12]  V. C. Veera Reddy,et al.  OPTIMAL CAPACITOR PLACEMENT USING FUZZY AND REAL CODED GENETIC ALGORITHM FOR MAXIMUM SAVINGS , 2008 .