Optimal Distributed Generation Sizing in Radial Distribution Systems for Stable Voltage and Loss Reduction

Distributed generation (DG) becomes more well-known in the power sector because of its capacity in power loss reduction, low investment cost, increase reliability, and most significant to exploit renewable-energy resources. In this study, a multi-objective index-based approach for optimally determining the size of multi-DG units in distribution systems, including the voltage rise phenomenon is proposed. An analytical method for sizing of distributed generation on power distribution systems for loss reduction is introduced. The analytical method is developed based on a new formulation for the power flow problem, which is non-iterative, direct, and involves no convergence issues even for systems with high R/X branch ratios. Additional, this power flow solution is tremendously useful whenever fast and repetitive power flow estimations are required. Distributed generators (DGs) deals with practical solutions are to reduce total system loss. The proposed method has been tested on 30-bus and compare with genetic algorithm 30-bus distribution systems, which are widely used as examples in solving the placement and sizing problem of DGs. The test results show that the proposed analytical method can lead to optimal or near-optimal solution, while requiring lower computational effort.