Cover Image

Power Distribution Network Reconfiguration by Using EPSO for Loss Minimizing

The total power losses in distribution network system can be minimized by network reconfiguration. In this paper, an efficient hybridization of heuristic method which is called as Evolutionary Particle Swarm Optimization (EPSO) is introduced to identify the open and closed switching operation plans...

Full description

Saved in:
Bibliographic Details
Main Authors: Sulaima, Mohamad Fani, Jali, Mohd Hafiz, Wan Daud, Wan Mohd Bukhari, Mohd Nasir, Mohamad Na'im, Jaafar, Hazriq Izzuan
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utem.edu.my/id/eprint/12222/1/Power_Distribution_Network_Reconfiguration_by_Using_EPSO_for_Loss_Minimizing.pdf
http://eprints.utem.edu.my/id/eprint/12222/
http://www.utem.edu.my/ice-seam2013/docs/ICE-SEAM2013%20Program.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utem.eprints.12222
record_format eprints
spelling my.utem.eprints.122222015-05-28T04:23:18Z http://eprints.utem.edu.my/id/eprint/12222/ Power Distribution Network Reconfiguration by Using EPSO for Loss Minimizing Sulaima, Mohamad Fani Jali, Mohd Hafiz Wan Daud, Wan Mohd Bukhari Mohd Nasir, Mohamad Na'im Jaafar, Hazriq Izzuan TK Electrical engineering. Electronics Nuclear engineering The total power losses in distribution network system can be minimized by network reconfiguration. In this paper, an efficient hybridization of heuristic method which is called as Evolutionary Particle Swarm Optimization (EPSO) is introduced to identify the open and closed switching operation plans for feeder network reconfiguration. The main objective is to reduce the power losses in the distribution network system and improve the voltage profile in the overall system meanwhile minimizing the computational time. The proposed combination of Particle Swarm Optimization (PSO) and Evolutionary Programming (EP) is introduced to make it faster to find the optimal solution. The proposed method is applied and its impact on the network reconfiguration for real power loss and voltage profiles is investigated. In network reconfiguration, the network topologies change through On/Off of the sectionalizing and tie switches in order to optimize network operation parameters. The aim is to find the best configuration which consists of switches that will contribute to a lower loss in the distribution network system. The method was tested on a IEEE 33-bus system to show the effectiveness of the EPSO method over the traditional PSO and EP method. 2013-10-31 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/12222/1/Power_Distribution_Network_Reconfiguration_by_Using_EPSO_for_Loss_Minimizing.pdf Sulaima, Mohamad Fani and Jali, Mohd Hafiz and Wan Daud, Wan Mohd Bukhari and Mohd Nasir, Mohamad Na'im and Jaafar, Hazriq Izzuan (2013) Power Distribution Network Reconfiguration by Using EPSO for Loss Minimizing. In: International Conference and Exhibition on Sustainable Energy and Advanced Material (ICE-SEAM 2013), 30 - 31 Oct 2013, UTeM. http://www.utem.edu.my/ice-seam2013/docs/ICE-SEAM2013%20Program.pdf
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Sulaima, Mohamad Fani
Jali, Mohd Hafiz
Wan Daud, Wan Mohd Bukhari
Mohd Nasir, Mohamad Na'im
Jaafar, Hazriq Izzuan
Power Distribution Network Reconfiguration by Using EPSO for Loss Minimizing
description The total power losses in distribution network system can be minimized by network reconfiguration. In this paper, an efficient hybridization of heuristic method which is called as Evolutionary Particle Swarm Optimization (EPSO) is introduced to identify the open and closed switching operation plans for feeder network reconfiguration. The main objective is to reduce the power losses in the distribution network system and improve the voltage profile in the overall system meanwhile minimizing the computational time. The proposed combination of Particle Swarm Optimization (PSO) and Evolutionary Programming (EP) is introduced to make it faster to find the optimal solution. The proposed method is applied and its impact on the network reconfiguration for real power loss and voltage profiles is investigated. In network reconfiguration, the network topologies change through On/Off of the sectionalizing and tie switches in order to optimize network operation parameters. The aim is to find the best configuration which consists of switches that will contribute to a lower loss in the distribution network system. The method was tested on a IEEE 33-bus system to show the effectiveness of the EPSO method over the traditional PSO and EP method.
format Conference or Workshop Item
author Sulaima, Mohamad Fani
Jali, Mohd Hafiz
Wan Daud, Wan Mohd Bukhari
Mohd Nasir, Mohamad Na'im
Jaafar, Hazriq Izzuan
author_facet Sulaima, Mohamad Fani
Jali, Mohd Hafiz
Wan Daud, Wan Mohd Bukhari
Mohd Nasir, Mohamad Na'im
Jaafar, Hazriq Izzuan
author_sort Sulaima, Mohamad Fani
title Power Distribution Network Reconfiguration by Using EPSO for Loss Minimizing
title_short Power Distribution Network Reconfiguration by Using EPSO for Loss Minimizing
title_full Power Distribution Network Reconfiguration by Using EPSO for Loss Minimizing
title_fullStr Power Distribution Network Reconfiguration by Using EPSO for Loss Minimizing
title_full_unstemmed Power Distribution Network Reconfiguration by Using EPSO for Loss Minimizing
title_sort power distribution network reconfiguration by using epso for loss minimizing
publishDate 2013
url http://eprints.utem.edu.my/id/eprint/12222/1/Power_Distribution_Network_Reconfiguration_by_Using_EPSO_for_Loss_Minimizing.pdf
http://eprints.utem.edu.my/id/eprint/12222/
http://www.utem.edu.my/ice-seam2013/docs/ICE-SEAM2013%20Program.pdf
_version_ 1665905490761089024
score 13.211869

Similar Items