LSF and Golden Jackal Optimization Algorithm based Optimal Placement and Sizing of Capacitors in Distribution System

For changes in economic viability, distribution automation requires the most effective operating scenario, i.e., to lower capital expenditure, lower system power losses, improve power factor, improve feeder voltage profile, and increase feeder capacity. Shunt capacitor banks are put on distribution primary feeders in order to do this. Therefore, it's crucial to locate the capacitors' ideal positions and sizes (kVAr) in the radial distribution networks (RDN). Sensitivity analysis is done to determine the Loss Sensitivity Factors (LSFs) in order to evaluate the most suitable places for reactive power compensation. The candidate buses with the greatest impact on the RDN active power losses relative to the bus reactive power are identified by the sensitivity analysis. The Golden Jackal Optimization (GJO) technique and LSF are used to present the best capacitor sizing and allocation solution in RDN in this research. The search space for an optimization algorithm is condensed using LSF. The best capacitor size and position are then determined using the optimization technique from the list of viable candidate buses. The suggested methodology is applied to several test systems, such as a 15 bus, a 33 bus and a 69 bus RDNs. The outcomes are compared with those of other methods found in the literature.