Multi-Objective Reconfiguration of Distribution Networks by Combining Fuzzy Logic, Symbiotic Search Algorithm and Spanning Tree Theory to Reduce Power Losses, Load Imbalances and Improve Voltage Profile

The reconfiguration of electric distribution networks is one of the important periodical actions in the operation phase of power networks. By using proper reconfiguration, different aspects of power quality can be improved with the lowest cost. In this article, the reconfiguration is proposed using the combination of fuzzy logic, Symbiotic Organisms Search algorithm and using the multi-objective function to reduce losses, load imbalance and improve the voltage profile. In addition, Spanning Tree Theory has been used to check the radial condition of the distribution system and connecting all the loads after reconfiguration. Considering that the objective functions do not have the same measuring units, a fuzzy system has also been used for homogenizing the objectives. The designed program has been tested on a real test network with 11 feeders and 95 buses. The final result shows the successful performance of the proposed method in providing a new topology for the distribution network with lower losses, more balanced load and better voltage profile for the intended test system.