An Evolutionary Approach for Optimal Citing and Sizing of Micro-Grid in Radial Distribution Systems

TL;DR

This paper introduces an evolutionary method using Particle Swarm Optimization to optimally size and locate micro-grids with renewable resources in radial distribution systems, aiming to reduce power loss and enhance sustainability.

Contribution

It presents a novel application of PSO for optimal micro-grid placement and sizing in radial systems, improving power loss reduction and renewable integration.

Findings

Significant reduction in power loss achieved

Effective placement and sizing of renewable micro-grids

Validation on IEEE 33-bus system confirms method's efficiency

Abstract

This Paper presents the methodology of penetration of Micro-Grids (MG) in the radial distribution system (RDS). The aim of this paper is to minimize a total real power loss that descends the performance of the radial distribution system by integrating various renewable resources as Distributed Generation (DG). The combination of different types of renewable energy resources contributes a sustainable MG. These resources are optimally sized and located using evolutionary approach in various penetration levels. The optimal solutions are experimented with IEEE 33 radial distribution system using Particle Swarm Optimization (PSO) technique. The results are quite promising and authenticate its potential to solve problem in radial distribution system effectively.