A Swarm Approach for Improving Voltage Profiles and Reduce Power Loss on Electrical Distribution Networks

As a mean to provide reactive power compensation to radial distribution networks, capacitor banks are commonly installed within these electrical distribution systems. When properly allocated, capacitor banks provide several benefits, including an improvement on the feeder’s voltage profil...

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Main Authors: Primitivo Diaz, Marco Perez-Cisneros, Erik Cuevas, Octavio Camarena, Fernando Abraham Fausto Martinez, Adrian Gonzalez
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8457499/
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author Primitivo Diaz
Marco Perez-Cisneros
Erik Cuevas
Octavio Camarena
Fernando Abraham Fausto Martinez
Adrian Gonzalez
author_facet Primitivo Diaz
Marco Perez-Cisneros
Erik Cuevas
Octavio Camarena
Fernando Abraham Fausto Martinez
Adrian Gonzalez
author_sort Primitivo Diaz
collection DOAJ
description As a mean to provide reactive power compensation to radial distribution networks, capacitor banks are commonly installed within these electrical distribution systems. When properly allocated, capacitor banks provide several benefits, including an improvement on the feeder’s voltage profile and significant reductions on power loss, which, in turn, leads to important amounts of energy savings and cost reductions. This formulation is known in the literature as optimal capacitor placement (OCP) problem. From an optimization perspective, OCP is considered remarkably complex due to its high multi-modality, discontinuity, and non-linearity. In this paper, the swarm optimization algorithm known as locust search (LS) is proposed for solving the OCP problem. The proposed approach has been tested by considering several IEEE’s radial distribution test systems, and its performance has also been compared against that of other techniques currently reported on the literature to solve the OCP problem. Our experimental results suggest that the proposed LS-based method is able to competitively solve the OCP problem in terms of accuracy and robustness.
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spelling doaj.art-ae9e8bcaf5124d6ba41603ee980186682022-12-21T19:45:19ZengIEEEIEEE Access2169-35362018-01-016494984951210.1109/ACCESS.2018.28688148457499A Swarm Approach for Improving Voltage Profiles and Reduce Power Loss on Electrical Distribution NetworksPrimitivo Diaz0https://orcid.org/0000-0002-2571-1525Marco Perez-Cisneros1Erik Cuevas2Octavio Camarena3Fernando Abraham Fausto Martinez4Adrian Gonzalez5Departamento de Electrónica, Universidad de Guadalajara, CUCEI, Guadalajara, MéxicoDepartamento de Electrónica, Universidad de Guadalajara, CUCEI, Guadalajara, MéxicoDepartamento de Electrónica, Universidad de Guadalajara, CUCEI, Guadalajara, MéxicoDepartamento de Electrónica, Universidad de Guadalajara, CUCEI, Guadalajara, MéxicoDepartamento de Electrónica, Universidad de Guadalajara, CUCEI, Guadalajara, MéxicoDepartamento de Electrónica, Universidad de Guadalajara, CUCEI, Guadalajara, MéxicoAs a mean to provide reactive power compensation to radial distribution networks, capacitor banks are commonly installed within these electrical distribution systems. When properly allocated, capacitor banks provide several benefits, including an improvement on the feeder’s voltage profile and significant reductions on power loss, which, in turn, leads to important amounts of energy savings and cost reductions. This formulation is known in the literature as optimal capacitor placement (OCP) problem. From an optimization perspective, OCP is considered remarkably complex due to its high multi-modality, discontinuity, and non-linearity. In this paper, the swarm optimization algorithm known as locust search (LS) is proposed for solving the OCP problem. The proposed approach has been tested by considering several IEEE’s radial distribution test systems, and its performance has also been compared against that of other techniques currently reported on the literature to solve the OCP problem. Our experimental results suggest that the proposed LS-based method is able to competitively solve the OCP problem in terms of accuracy and robustness.https://ieeexplore.ieee.org/document/8457499/Locust search algorithmoptimal capacitor placementradial distribution networks
spellingShingle Primitivo Diaz
Marco Perez-Cisneros
Erik Cuevas
Octavio Camarena
Fernando Abraham Fausto Martinez
Adrian Gonzalez
A Swarm Approach for Improving Voltage Profiles and Reduce Power Loss on Electrical Distribution Networks
IEEE Access
Locust search algorithm
optimal capacitor placement
radial distribution networks
title A Swarm Approach for Improving Voltage Profiles and Reduce Power Loss on Electrical Distribution Networks
title_full A Swarm Approach for Improving Voltage Profiles and Reduce Power Loss on Electrical Distribution Networks
title_fullStr A Swarm Approach for Improving Voltage Profiles and Reduce Power Loss on Electrical Distribution Networks
title_full_unstemmed A Swarm Approach for Improving Voltage Profiles and Reduce Power Loss on Electrical Distribution Networks
title_short A Swarm Approach for Improving Voltage Profiles and Reduce Power Loss on Electrical Distribution Networks
title_sort swarm approach for improving voltage profiles and reduce power loss on electrical distribution networks
topic Locust search algorithm
optimal capacitor placement
radial distribution networks
url https://ieeexplore.ieee.org/document/8457499/
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