An Approach for Hybrid Optimal Power Flow Strategies with Optimal Allocation of Distributed Generators for a Power Network

Abstract

The OPF difficulties are characterized by the presence of four distinct objective functions which are: active power losses, fuel operating costs and voltage variations. The volatile and variable nature of distributed generator (DG) sources contributes to the convolution of the optimum power flow (OPF) issue. This paper employed bat algorithms to tackle the issue of optimum power flow (OPF) and PSO algorithm to optimal allocation of DG. The goal was to enhance the effectiveness of energy use, environmental sustainability, and cost efficiency of the electricity grid. The test cases include a wide range of scenarios, including the existence of Distributed Generation (DG), different locations of DG within the network, various kinds of load expansion, and occasional breakdowns of transmission lines. These possibilities are considered in order to address the problem presented by the suggested solution OPF. The incidents are assessed utilizing bus systems, such as the 30 bus system in MATLAB.