Optimal Placement and Sizing of Capacitors for Power Loss Reduction in Radial Distribution Systems

Abstract

This paper introduces a novel and robust approach known as the Slime Mould Algorithm (SMA) for the optimal placement and sizing of capacitors in an IEEE distribution network. Initially, candidate buses for capacitor installation are identified using various indices, including Loss Sensitivity Factors (LSF), Voltage Stability Index (VSI), and Power Loss Index (PLI). These indices aid in determining the most suitable locations for capacitor installation. Subsequently, the SMA is applied to optimize the size and placement of capacitors at these selected buses. The primary objective function focuses on minimizing the total net cost and maximizing annual savings. The proposed method is applied to an IEEE distribution system and its results are compared with other conventional techniques to highlight its effectiveness. The findings demonstrate significant improvements in reducing power losses, lowering costs, and enhancing the voltage profile, thereby showcasing the potential of the SMA for improving the performance of radial distribution networks.