OPTIMAL PLACEMENT OF DG UNITS USING FUZZY AND REAL CODED GENETIC ALGORITHM

This paper presents a new methodology using Fuzzy and Real Coded Genetic Algorithm (RCGA) for the placement of DG units in electrical distribution systems to reduce the power losses and to improve the voltage profile. Electrical energy is vital in every aspect of 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 Real Coded Genetic Algorithm (RCGA) is used to find the optimal sizes of DG units. The suggested method is programmed under MATLAB software and is tested on 15-bus, 33-bus, 69-bus and 85-bus test systems and the results are presented