Mitigation of Line Losses in Distribution System using Optimized Placement of Distributed Generation
Line losses are the most significant challenge faced by Pakistan's energy department. 6.5% of the country's GDP, a large figure of $1.8 billion is lost every year due to line losses in power generation, transmission, distribution and consumption. In distribution systems, researchers are a...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
The University of Lahore
2020-09-01
|
Series: | Pakistan Journal of Engineering & Technology |
Subjects: | |
Online Access: | http://dev.ojs.com/index.php/pakjet/article/view/428 |
id |
doaj-046178f1821544caa93c2f1e5656330b |
---|---|
record_format |
Article |
spelling |
doaj-046178f1821544caa93c2f1e5656330b2021-03-18T09:33:12ZengThe University of LahorePakistan Journal of Engineering & Technology2664-20422664-20502020-09-0132Mitigation of Line Losses in Distribution System using Optimized Placement of Distributed GenerationMuhammad Nouman ElahiSafdar Raza0Faisal Maqsood1Muhammad Zeeshan2NFC Institute of Engineering & Technology, Multan.NFC IET MultanNFC, IET, Multan Line losses are the most significant challenge faced by Pakistan's energy department. 6.5% of the country's GDP, a large figure of $1.8 billion is lost every year due to line losses in power generation, transmission, distribution and consumption. In distribution systems, researchers are attracted by the penetration of distributed generation (DG) nowadays. The performance of a distribution network is affected by the significant role of number, capacity and situation of DG units. This study will focus on the distributed generation of a centralized national grid and provide an algorithmic model that implements Improved Particle Swarm Optimization to reduce the system power loss and improve the voltage profiles via optimization of the locations and sizes of multip1le DG(s). The overall sensitive feature was determined and utilized efficiently to reduce research space for the algorithm. In the case of IEEE 33Bus test system, 10% of candidate buses are selected as possible DG situations. The IPSO methodology produced severe loss reduction and improve the voltage profiles in all the three types of DGs considered using the IEEE 33-Bus system. The percentage decrease in active power losses was reduced 68.10492%, 66.91669% and 58.89211% for DG type -1, DG type-2 and DG type-3 respectively. At the same time, reactive power losses were reduced 53.095%, 53.0922% and 50.4145% for DG type -1, DG type-2 and DG type-3 respectively. http://dev.ojs.com/index.php/pakjet/article/view/428Distributed Generation (DG), Voltage profile, Power loss, Improved Particle Swarm Optimization (IPSO), Genetic Algorithm (GA) |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Muhammad Nouman Elahi Safdar Raza Faisal Maqsood Muhammad Zeeshan |
spellingShingle |
Muhammad Nouman Elahi Safdar Raza Faisal Maqsood Muhammad Zeeshan Mitigation of Line Losses in Distribution System using Optimized Placement of Distributed Generation Pakistan Journal of Engineering & Technology Distributed Generation (DG), Voltage profile, Power loss, Improved Particle Swarm Optimization (IPSO), Genetic Algorithm (GA) |
author_facet |
Muhammad Nouman Elahi Safdar Raza Faisal Maqsood Muhammad Zeeshan |
author_sort |
Muhammad Nouman Elahi |
title |
Mitigation of Line Losses in Distribution System using Optimized Placement of Distributed Generation |
title_short |
Mitigation of Line Losses in Distribution System using Optimized Placement of Distributed Generation |
title_full |
Mitigation of Line Losses in Distribution System using Optimized Placement of Distributed Generation |
title_fullStr |
Mitigation of Line Losses in Distribution System using Optimized Placement of Distributed Generation |
title_full_unstemmed |
Mitigation of Line Losses in Distribution System using Optimized Placement of Distributed Generation |
title_sort |
mitigation of line losses in distribution system using optimized placement of distributed generation |
publisher |
The University of Lahore |
series |
Pakistan Journal of Engineering & Technology |
issn |
2664-2042 2664-2050 |
publishDate |
2020-09-01 |
description |
Line losses are the most significant challenge faced by Pakistan's energy department. 6.5% of the country's GDP, a large figure of $1.8 billion is lost every year due to line losses in power generation, transmission, distribution and consumption. In distribution systems, researchers are attracted by the penetration of distributed generation (DG) nowadays. The performance of a distribution network is affected by the significant role of number, capacity and situation of DG units. This study will focus on the distributed generation of a centralized national grid and provide an algorithmic model that implements Improved Particle Swarm Optimization to reduce the system power loss and improve the voltage profiles via optimization of the locations and sizes of multip1le DG(s). The overall sensitive feature was determined and utilized efficiently to reduce research space for the algorithm. In the case of IEEE 33Bus test system, 10% of candidate buses are selected as possible DG situations. The IPSO methodology produced severe loss reduction and improve the voltage profiles in all the three types of DGs considered using the IEEE 33-Bus system. The percentage decrease in active power losses was reduced 68.10492%, 66.91669% and 58.89211% for DG type -1, DG type-2 and DG type-3 respectively. At the same time, reactive power losses were reduced 53.095%, 53.0922% and 50.4145% for DG type -1, DG type-2 and DG type-3 respectively.
|
topic |
Distributed Generation (DG), Voltage profile, Power loss, Improved Particle Swarm Optimization (IPSO), Genetic Algorithm (GA) |
url |
http://dev.ojs.com/index.php/pakjet/article/view/428 |
work_keys_str_mv |
AT muhammadnoumanelahi mitigationoflinelossesindistributionsystemusingoptimizedplacementofdistributedgeneration AT safdarraza mitigationoflinelossesindistributionsystemusingoptimizedplacementofdistributedgeneration AT faisalmaqsood mitigationoflinelossesindistributionsystemusingoptimizedplacementofdistributedgeneration AT muhammadzeeshan mitigationoflinelossesindistributionsystemusingoptimizedplacementofdistributedgeneration |
_version_ |
1724216288382812160 |