LAUSR

Renewable energy sources (RES) has been growing continuously and most probably have been included in distribution networks. RES intermittent nature of electricity production due to the dependency on external conditions which are changing seasonally. The uncertainty of their power production causes negative impacts on voltage profile and increasing the power losses. This paper proposes a novel technique based on hybrid optimization methods to determine the optimum power of the uncertain power sources and the optimum network configuration to minimize the power losses and maintain the voltage profile under normal and shading conditions.  The proposed hybrid algorithm utilizes a Genetic algorithm (GA) combined with particle swarm optimization (PSO) to overcome the uncertainty and optimize the configuration of the networks. Considering different normal and shading operation conditions of RES, the proposed model has been tested on standard IEEE 33 and 66 bus systems and validated with other conventional methods to verify the correctness of the operation and compare the performance and effectiveness. Results obtained show a significant improvement in voltage profile, reduction of power losses, and hence increasing the overall distribution system stability.