APPLICATION OF HYBRID TECHNIQUES FOR OPTIMAL POSITION AND SIZING OF DISTRIBUTED GENERATION UNITS IN RADIAL DISTRIBUTION SYSTEM

Utility grids face significant problems in the power sector in modern times because of the constant increase of loads and the lack of capital spending to install new transmission networks. As a consequence, the generating system is unable to fulfill the anticipated demand and finds it difficult to transport the generated power from central power generation to the distribution network. This can result in high power losses in the distribution system and also disrupt the system's overall performance. This problem can be addressed by the optimum positioning of Distributed Generation (DG) in power systems. From a technological and economic point of view, the DG has further advantages, such as minimizing system losses, improving the voltage profile and reducing line congestion. In this paper, the hybrid algorithm which includes Binary Particle Swarm Optimization (BPSO) and Whale Optimization Algorithm (WOA is used for proper positioning and sizing of DG in order to minimize actual and reactive power losses and increase the voltage profile of the distribution system, which in turn improves the system's voltage stability. This approach is simulated using Matlab software on the IEEE 33-bus systems, which demonstrates an increase in the voltage profile and reduces the power loss, when compared to other methods of optimization.