A heuristic approach for optimal planning and operation of distribution systems
type: Item
instance of: scholarly article
title: A heuristic approach for optimal planning and operation of distribution systems
zbMATH Open document ID: 1460.90215
DOI: 10.1155/2018/6258350
author: Khalid Mohammed Saffer Alzaidi
author: Oguz Bayat
author: Osman Nuri Ucan
published in: Journal of Optimization
publication date: 2018-08-15T00:00:00Z
review text: Summary: The efficient planning and operation of power distribution systems are becoming increasingly significant with the integration of renewable energy options into power distribution networks. Keeping voltage magnitudes within permissible ranges is vital; hence, control devices, such as tap changers, voltage regulators, and capacitors, are used in power distribution systems. This study presents an optimization model that is based on three heuristic approaches, namely, particle swarm optimization, imperialist competitive algorithm, and moth flame optimization, for solving the voltage deviation problem. Two different load profiles are used to test the three modified algorithms on IEEE 123- and IEEE 13-bus test systems. The proposed optimization model uses three different cases: Case 1, changing the tap positions of the regulators; Case 2, changing the capacitor sizes; and Case 3, integrating Cases 1 and 2 and changing the locations of the capacitors. The numerical results of the optimization model using the three heuristic algorithms are given for the two specified load profiles.
Mathematics Subject Classification ID: 90C90
Mathematics Subject Classification ID: 90C30
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 6918486
describes a project that uses: MultiMin
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2018/6258350
OpenAlex ID: W2805792653
cites work: Derivative-free optimization: a review of algorithms and comparison of software implementations
description: scientific article; zbMATH DE number 6918486