A two-stage optimal network reconfiguration approach for minimizing energy loss of distribution networks using particle swarm optimization algorithm

Wei-Tzer Huang, Tsai Hsiang Chen, Hong Ting Chen, Jhih Siang Yang, Kuo Lung Lian, Yung Ruei Chang, Yih Der Lee, Yuan Hsiang Ho

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

This study aimed to minimize energy losses in traditional distribution networks and microgrids through a network reconfiguration and phase balancing approach. To address this problem, an algorithm composed of a multi-objective function and operation constraints is proposed. Network connection matrices based on graph theory and the backward/forward sweep method are used to analyze power flow. A minimizing energy loss approach is developed for network reconfiguration and phase balancing, and the particle swarm optimization (PSO) algorithm is adopted to solve this optimal combination problem. The proposed approach is tested on the IEEE 37-bus test system and the first outdoor microgrid test bed established by the Institute of Nuclear Energy Research (INER) in Taiwan. Simulation results demonstrate that the proposed two-stage approach can be applied in network reconfiguration to minimize energy loss.

Original languageEnglish
Pages (from-to)13894-13910
Number of pages17
JournalEnergies
Volume8
Issue number12
DOIs
Publication statusPublished - 2015 Jan 1

Fingerprint

Network Optimization
Distribution Network
Reconfiguration
Particle Swarm Optimization Algorithm
Electric power distribution
Particle swarm optimization (PSO)
Energy dissipation
Microgrid
Energy
Balancing
Graph theory
Connection Matrix
Minimise
Nuclear energy
Power Flow
Test System
Taiwan
Sweep
Testbed
Objective function

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering

Cite this

Huang, Wei-Tzer ; Chen, Tsai Hsiang ; Chen, Hong Ting ; Yang, Jhih Siang ; Lian, Kuo Lung ; Chang, Yung Ruei ; Lee, Yih Der ; Ho, Yuan Hsiang. / A two-stage optimal network reconfiguration approach for minimizing energy loss of distribution networks using particle swarm optimization algorithm. In: Energies. 2015 ; Vol. 8, No. 12. pp. 13894-13910.
@article{f7bc6724df194538916d7ae2120b88ef,
title = "A two-stage optimal network reconfiguration approach for minimizing energy loss of distribution networks using particle swarm optimization algorithm",
abstract = "This study aimed to minimize energy losses in traditional distribution networks and microgrids through a network reconfiguration and phase balancing approach. To address this problem, an algorithm composed of a multi-objective function and operation constraints is proposed. Network connection matrices based on graph theory and the backward/forward sweep method are used to analyze power flow. A minimizing energy loss approach is developed for network reconfiguration and phase balancing, and the particle swarm optimization (PSO) algorithm is adopted to solve this optimal combination problem. The proposed approach is tested on the IEEE 37-bus test system and the first outdoor microgrid test bed established by the Institute of Nuclear Energy Research (INER) in Taiwan. Simulation results demonstrate that the proposed two-stage approach can be applied in network reconfiguration to minimize energy loss.",
author = "Wei-Tzer Huang and Chen, {Tsai Hsiang} and Chen, {Hong Ting} and Yang, {Jhih Siang} and Lian, {Kuo Lung} and Chang, {Yung Ruei} and Lee, {Yih Der} and Ho, {Yuan Hsiang}",
year = "2015",
month = "1",
day = "1",
doi = "10.3390/en81212402",
language = "English",
volume = "8",
pages = "13894--13910",
journal = "Energies",
issn = "1996-1073",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "12",

}

A two-stage optimal network reconfiguration approach for minimizing energy loss of distribution networks using particle swarm optimization algorithm. / Huang, Wei-Tzer; Chen, Tsai Hsiang; Chen, Hong Ting; Yang, Jhih Siang; Lian, Kuo Lung; Chang, Yung Ruei; Lee, Yih Der; Ho, Yuan Hsiang.

In: Energies, Vol. 8, No. 12, 01.01.2015, p. 13894-13910.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A two-stage optimal network reconfiguration approach for minimizing energy loss of distribution networks using particle swarm optimization algorithm

AU - Huang, Wei-Tzer

AU - Chen, Tsai Hsiang

AU - Chen, Hong Ting

AU - Yang, Jhih Siang

AU - Lian, Kuo Lung

AU - Chang, Yung Ruei

AU - Lee, Yih Der

AU - Ho, Yuan Hsiang

PY - 2015/1/1

Y1 - 2015/1/1

N2 - This study aimed to minimize energy losses in traditional distribution networks and microgrids through a network reconfiguration and phase balancing approach. To address this problem, an algorithm composed of a multi-objective function and operation constraints is proposed. Network connection matrices based on graph theory and the backward/forward sweep method are used to analyze power flow. A minimizing energy loss approach is developed for network reconfiguration and phase balancing, and the particle swarm optimization (PSO) algorithm is adopted to solve this optimal combination problem. The proposed approach is tested on the IEEE 37-bus test system and the first outdoor microgrid test bed established by the Institute of Nuclear Energy Research (INER) in Taiwan. Simulation results demonstrate that the proposed two-stage approach can be applied in network reconfiguration to minimize energy loss.

AB - This study aimed to minimize energy losses in traditional distribution networks and microgrids through a network reconfiguration and phase balancing approach. To address this problem, an algorithm composed of a multi-objective function and operation constraints is proposed. Network connection matrices based on graph theory and the backward/forward sweep method are used to analyze power flow. A minimizing energy loss approach is developed for network reconfiguration and phase balancing, and the particle swarm optimization (PSO) algorithm is adopted to solve this optimal combination problem. The proposed approach is tested on the IEEE 37-bus test system and the first outdoor microgrid test bed established by the Institute of Nuclear Energy Research (INER) in Taiwan. Simulation results demonstrate that the proposed two-stage approach can be applied in network reconfiguration to minimize energy loss.

UR - http://www.scopus.com/inward/record.url?scp=84952307309&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84952307309&partnerID=8YFLogxK

U2 - 10.3390/en81212402

DO - 10.3390/en81212402

M3 - Article

VL - 8

SP - 13894

EP - 13910

JO - Energies

JF - Energies

SN - 1996-1073

IS - 12

ER -