Enhancement of Dg’s Optimal Performance for Loss Reduction and to Improve the Voltage Profile by Using Fuzzy and Harmony Search Algorithm

This project presents a new methodology using Fuzzy and Harmony Search Algorithm (HSA) for the placement and sizing of distributed generation units in the distribution systems to reduce the power losses and to improve the voltage profile within the limits. Distribution systems are typically spread over large areas and are responsible for a significant portion of total power losses. 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. This can be achieved by placing the optimal values of distributed generation units at proper locations in distribution systems. Optimal DG placement determines the size and location of DG to be installed on a distribution system. . A two-stage methodology is used for the optimal DG placement problem. In the first stage, fuzzy approach is used to find the optimal DG locations and in the second stage, Harmony search Algorithm is used to find the sizes of the DG units. The sizes of the DG units corresponding to maximum loss reduction are determined. Fuzzy logic has the advantage of including heuristics and representing engineering judgments into the DG allocation optimization process. Furthermore, the solutions obtained from a fuzzy algorithm can be quickly assessed to determine their feasibility in being implemented in the distribution system. The Harmony search algorithm is a new metaheuristic approach inspired by natural musical phenomenon. The harmony search algorithm (HSA) is simple in concept, few in parameters and easy in implementation. HSA gives the greatest reduction in terms of power loss and total costs as compared to other optimization methods. The forward/backward power flow is also used to obtain faster power flow solutions. This algorithm is practical and easy to implement in large scale power systems. The suggested method is programmed under MATLABsoftware and is tested on 15-bus, 33-bus, 69-bus and 85-bus testsystems and the results are presented