Optimal Allocation of Custom Power Devices in Radial Distribution Network Using Chaos Game Optimization

Recently, there has been rising concern regarding the demand for uninterrupted power with good power quality. Custom Power Devices (CPD), passive, active, and hybrid filters are used to maintain these. Along with the increasing use of renewable energy sources as well as nonlinear loads, power quality issues are rising. These renewable energy sources and power electronic loads are extremely efficient; however, power electronic loads exhibit nonlinear behavior. This results in variances in voltage, current, or frequency that are not in line with the standard, which can cause malfunction or failure of the equipment being used. In this paper, these concerns are solved using Chaos Game Optimization (CGO) for optimal allocation and sizing of CPD in a Radial Distribution Network (RDN). The objective function's design is to lower overall costs and losses in order to raise annual net savings. For the validation of the proposed algorithm, 34 and 85 bus RDN have been used. The benefits of the proposed algorithm are demonstrated by comparing the results it obtained with those of existing algorithms like PSO.