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...

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Main Authors: Muhammad Nouman Elahi, Safdar Raza, Faisal Maqsood, Muhammad Zeeshan
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
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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
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AT safdarraza mitigationoflinelossesindistributionsystemusingoptimizedplacementofdistributedgeneration
AT faisalmaqsood mitigationoflinelossesindistributionsystemusingoptimizedplacementofdistributedgeneration
AT muhammadzeeshan mitigationoflinelossesindistributionsystemusingoptimizedplacementofdistributedgeneration
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