Comparative approach: Electric distribution optimization with loss minimization algorithm and particle swarm optimization

TL;DR

This paper compares loss minimization algorithms and particle swarm optimization for electric distribution, highlighting their performance differences in optimizing complex power systems.

Contribution

It provides a comparative analysis of two optimization methods, offering insights into their effectiveness for electric distribution loss minimization.

Findings

Particle swarm optimization shows competitive performance.

Loss minimization algorithms effectively reduce power system losses.

The review highlights strengths and limitations of each method.

Abstract

Power systems are very large and complex, it can be influenced by many unexpected events this makes power system optimization problems difficult to solve, hence methods for solving these problems ought to be an active research topic. This review presents an overview of important mathematical comparaison of loss minimization algorithm and particle swarm optimization algorithm in terms of the performances of electric distribution.