Particle swarm optimization with various inertia weight variants for optimal power flow solution
type: Item
instance of: scholarly article
title: Particle swarm optimization with various inertia weight variants for optimal power flow solution
zbMATH Open document ID: 1195.90095
DOI: 10.1155/2010/462145
author: Prabha Umapathy
author: C. Venkataseshaiah
author: M. Senthil Arumugam
published in: Discrete Dynamics in Nature and Society
publication date: 2010-09-29T00:00:00Z
full work available at URL: https://eudml.org/doc/229053
review text: Summary: This paper proposes an efficient method to solve the optimal power flow problem in power systems using Particle Swarm Optimization (PSO). The objective of the proposed method is to find the steady-state operating point which minimizes the fuel cost, while maintaining an acceptable system performance in terms of limits on generator power, line flow, and voltage. Three different inertia weights, a constant inertia weight (CIW), a time-varying inertia weight (TVIW), and global-local best inertia weight (GLbestIW), are considered with the particle swarm optimization algorithm to analyze the impact of inertia weight on the performance of PSO algorithm. The PSO algorithm is simulated for each of the method individually. It is observed that the PSO algorithm with the proposed inertia weight yields better results, both in terms of optimal solution and faster convergence. The proposed method has been tested on the standard IEEE 30 bus test system to prove its efficacy. The algorithm is computationally faster, in terms of the number of load flows executed, and provides better results than other heuristic techniques.
Mathematics Subject Classification ID: 90C59
Mathematics Subject Classification ID: 90B10
zbMATH DE Number: 5793493
Wikidata QID: Q58650817
MaRDI profile type: Publication
OpenAlex ID: W1986878793
cites work: An Interior Point Algorithm for Large-Scale Nonlinear Programming
cites work: On the performance of the particle swarm optimization algorithm with various inertia weight variants for computing optimal control of a class of hybrid systems
Recommended article: Multiobjective Particle Swarm Optimization for Optimal Power Flow Problem
Recommended article: Q5425293
Recommended article: APPLICATION OF PARTICLE SWARM OPTIMIZATION ALGORITHM FOR OPTIMAL REACTIVE POWER PLANNING
Recommended article: A dynamic inertia weight particle swarm optimization algorithm
Recommended article: A Modified Particle Swarm Optimizer with Dynamical Inertia Weight
description: scientific article; zbMATH DE number 5793493