Economic analysis of isolator placement in the radial network for enhancement of reliability indicators

This paper introduces an innovative approach that significantly enhances the reliability indices of the radial distribution system, thereby effectively upgrading its overall performance. The optimal location and number of isolators in the electrical distribution network are determined using a metaheuristic algorithm, such as the genetic algorithm and particle swarm optimization approaches. The product of the system's annual outage length and the total number of consumers affected is used to frame the problem within the restrictions of the ideal number of switches and the need for a power supply that can meet consumer requests. The cost of energy not served (CENS) and system average interruption duration index (SAIDI) are reliability indicators that have been used to identify the root of the issue. The method has been put to the test on 59 and 34 load point systems, and the results demonstrate that the suggested method in the study is accepted. The GA and PSO are compared on 34 and 59 bus radial network and found that GA provide better result. The ENS and profit have been compared, and it is found GA provides superb result in both cases. It is also observed that the optimal number of isolators required in 59 bus system is 31 and 42 for GA and PSO, respectively. The application of the suggested technique for isolator placement in 59 bus radial network provides a reduction in SAIDI 45.6% and 43.97% from GA and PSO, respectively, it is also observed that reduction in ENS is 59.9% and 58.45% from GA and PSO, respectively. Diminution in ENS indicates that the final group of clients is happy with the quality of the service being rendered in their location.