Optimum Power Distribution Network Configeration For Jimma University Main Campus By Using Genetic Algerithm

Abstract

The distribution system is an important part of the total electrical supply system, as it provides the final link between a utility’s transmission systems and its customers. It typically has tie and sectionalizing switches whose states determine the topological configuration of the network. The system configuration affects the efficiency with which the power supplied by the distribution system is transferred to the load. Based on the configuration selected and other factors, it is estimated that distribution systems cause a loss of about 5–13% of the total power generated. Hence power companies are interested in finding the most efficient configuration, the one which minimizes the real power loss of their three-phase distribution systems. Therefore, power distribution system need to be reconfigured to minimize distribution losses. There are various techniques which have been used for network reconfiguration. But because of the large dimension and the complexity of the problem, no efficient method has been achieved. One promising solution is the use of artificial intelligence algorithms. In this thesis, genetic algorithm is used to automate a 21 buses system of Jimma University Main Campus distribution system. Genetic algorithm based MATLAB codes are developed to select the optimum switch combination out of the possible candidates and to calculate the load flow analysis for each combination iteratively. The final optimum scheme is tested on power world simulator software. Simulation results have shown that by introducing tie line switches and sectional switches, the loss in Jimma University Power distribution system can be reduced by 24.3 % and a better system performance can also be achieved