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Optimal Distributed Generator Sizing and Placement by Modified Particle Swarm Optimization (MPOS) Algorithm for Minimization of Distribution Power Loss

by Anshu Sharma, Rajesh Kumar Rai, Ghizal Ansari
Journal of Advanced Artificial Intelligence
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 6
Year of Publication: 2025
Authors: Anshu Sharma, Rajesh Kumar Rai, Ghizal Ansari
10.5120/jaai202429

Anshu Sharma, Rajesh Kumar Rai, Ghizal Ansari . Optimal Distributed Generator Sizing and Placement by Modified Particle Swarm Optimization (MPOS) Algorithm for Minimization of Distribution Power Loss. Journal of Advanced Artificial Intelligence. 1, 6 ( Mar 2025), 22-27. DOI=10.5120/jaai202429

@article{ 10.5120/jaai202429,
author = { Anshu Sharma, Rajesh Kumar Rai, Ghizal Ansari },
title = { Optimal Distributed Generator Sizing and Placement by Modified Particle Swarm Optimization (MPOS) Algorithm for Minimization of Distribution Power Loss },
journal = { Journal of Advanced Artificial Intelligence },
issue_date = { Mar 2025 },
volume = { 1 },
number = { 6 },
month = { Mar },
year = { 2025 },
pages = { 22-27 },
numpages = {9},
url = { https://jaaionline.phdfocus.com/archives/volume1/number6/optimal-distributed-generator-sizing-and-placement-by-modified-particle-swarm-optimization-mpos-algorithm-for-minimization-of-distribution-power-loss/ },
doi = { 10.5120/jaai202429 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2025-04-01T01:51:21+05:30
%A Anshu Sharma
%A Rajesh Kumar Rai
%A Ghizal Ansari
%T Optimal Distributed Generator Sizing and Placement by Modified Particle Swarm Optimization (MPOS) Algorithm for Minimization of Distribution Power Loss
%J Journal of Advanced Artificial Intelligence
%V 1
%N 6
%P 22-27
%D 2025
%I Foundation of Computer Science (FCS), NY, USA
Abstract

We address the critical issue of optimal sizing and placement of distributed generators (DGs) in distribution systems to minimize power loss. the study focuses on leveraging the innovative MPSO algorithm to achieve optimal solutions. The integration of DGs into distribution systems is a key strategy, and the research explores the intricate aspects of determining the appropriate size and strategic placement of DGs to mitigate power losses effectively. We propose the Modified Particle Swarm Optimization (MPSO) algorithm as the primary tool to address this optimization problem. Drawing inspiration from bird foraging behaviour, MPSO is highlighted for its efficiency in local optimal searching. The study emphasizes the algorithm's capability to outperform traditional approaches, such as GWO and MINLP, through empirical comparisons.

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Index Terms

Computer Science
Information Sciences

Keywords

Power System distributed Generations (DGs) Swam intelligence MPSO Loss minimization.