Power Loss Minimization In Distribution Power System With Distributed Generation Using Network Reconfiguration

The power system's generating, and transmission capacities are being strained by rising energy demands. The performance of distribution system becomes degraded due to an increase in distribution losses and reduction in voltage magnitude, and bad planning of the distribution system. These issues...

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Main Author: Syed Muhammad Fadli, Syed Drus
Format: Undergraduates Project Papers
Language:English
Published: 2022
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Online Access:http://umpir.ump.edu.my/id/eprint/39921/1/EC18004_Syed%20Muhammad%20Fadli_Thesis%20-%20syed%20fadli.pdf
http://umpir.ump.edu.my/id/eprint/39921/
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spelling my.ump.umpir.399212024-01-09T02:53:04Z http://umpir.ump.edu.my/id/eprint/39921/ Power Loss Minimization In Distribution Power System With Distributed Generation Using Network Reconfiguration Syed Muhammad Fadli, Syed Drus TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering The power system's generating, and transmission capacities are being strained by rising energy demands. The performance of distribution system becomes degraded due to an increase in distribution losses and reduction in voltage magnitude, and bad planning of the distribution system. These issues may be addressed, and the system's performance improved by incorporating Distributed Generation (DG) into the distribution system in an efficient way. The purpose of this research report is to present an effective combination method based on Backward-Forward Sweep Power Flow (BFSPF) and Grey Wolf Optimizer (GWO) with considering network reconfiguration and the presence of DG with the purpose of minimizing real power loss, improving voltage profile in the distribution network, and evaluation in term of effectiveness of the optimization technique. In a radial distribution network, network reconfiguration is utilized into GWO and find the best value for DG size concurrently. The effect of a technique based on the network reconfiguration with GWO algorithm to find actual power losses and voltage profiles is examined. IEEE 33- bus test system by adding five tie line switch is used to illustrate the suggested method's performance and efficacy. The findings indicate that the network reconfiguration with GWO algorithm is the most successful for minimizing actual power loss and improving voltage profiles and that it may be used to plan ahead in distribution networks. 2022-06 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39921/1/EC18004_Syed%20Muhammad%20Fadli_Thesis%20-%20syed%20fadli.pdf Syed Muhammad Fadli, Syed Drus (2022) Power Loss Minimization In Distribution Power System With Distributed Generation Using Network Reconfiguration. Faculty of Electrical and Electronic Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah.
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Syed Muhammad Fadli, Syed Drus
Power Loss Minimization In Distribution Power System With Distributed Generation Using Network Reconfiguration
description The power system's generating, and transmission capacities are being strained by rising energy demands. The performance of distribution system becomes degraded due to an increase in distribution losses and reduction in voltage magnitude, and bad planning of the distribution system. These issues may be addressed, and the system's performance improved by incorporating Distributed Generation (DG) into the distribution system in an efficient way. The purpose of this research report is to present an effective combination method based on Backward-Forward Sweep Power Flow (BFSPF) and Grey Wolf Optimizer (GWO) with considering network reconfiguration and the presence of DG with the purpose of minimizing real power loss, improving voltage profile in the distribution network, and evaluation in term of effectiveness of the optimization technique. In a radial distribution network, network reconfiguration is utilized into GWO and find the best value for DG size concurrently. The effect of a technique based on the network reconfiguration with GWO algorithm to find actual power losses and voltage profiles is examined. IEEE 33- bus test system by adding five tie line switch is used to illustrate the suggested method's performance and efficacy. The findings indicate that the network reconfiguration with GWO algorithm is the most successful for minimizing actual power loss and improving voltage profiles and that it may be used to plan ahead in distribution networks.
format Undergraduates Project Papers
author Syed Muhammad Fadli, Syed Drus
author_facet Syed Muhammad Fadli, Syed Drus
author_sort Syed Muhammad Fadli, Syed Drus
title Power Loss Minimization In Distribution Power System With Distributed Generation Using Network Reconfiguration
title_short Power Loss Minimization In Distribution Power System With Distributed Generation Using Network Reconfiguration
title_full Power Loss Minimization In Distribution Power System With Distributed Generation Using Network Reconfiguration
title_fullStr Power Loss Minimization In Distribution Power System With Distributed Generation Using Network Reconfiguration
title_full_unstemmed Power Loss Minimization In Distribution Power System With Distributed Generation Using Network Reconfiguration
title_sort power loss minimization in distribution power system with distributed generation using network reconfiguration
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/39921/1/EC18004_Syed%20Muhammad%20Fadli_Thesis%20-%20syed%20fadli.pdf
http://umpir.ump.edu.my/id/eprint/39921/
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score 13.236483