Losses minimization in network reconfiguration for fault restoration via a uniform crossover of genetic algorithm

Fault is a type of disturbance that affecting the continuity of the power supply to loads. Therefore, it is essential for a distribution power system to have a flexible, stable and more reliable load restoration system. The aim of the load restoration in this paper is to restore as many loads as possible through the network reconfiguration while minimizing the power losses after the occurrences of fault. Distribution network reconfiguration (DNR) is applied to determine the best combination of open switches that acts as the best route to optimize the reduction of power losses during load restoration process. An improved genetic algorithm (IGA) is proposed in this paper. The algorithm proposed is tested and validated on 69 IEEE bus using MATLAB software. A detail analysis is performed to demonstrate the effectiveness of IGA. The proposed method is applied and the effects of method on the power losses are examined. Results show that IGA method for load restoration via DNR is more effective compared with genetic algorithm (GA) solution.