Capacitor bank placement in radial distribution system using particle swarm optimization algorithm

Power system consists of generations, transmission lines, distributions and loads. At the distribution level, 13% of the total generated power consists of real and reactive power losses due to the predominantly inductive nature of loads and distribution feeders as well as transformers and lines whic...

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Main Author: Muhammad Naufal Charles Abdullah
Format: text::Final Year Project
Language:English US
Published: 2023
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spelling my.uniten.dspace-275852023-07-09T02:02:29Z Capacitor bank placement in radial distribution system using particle swarm optimization algorithm Muhammad Naufal Charles Abdullah Capacitor banks Mathematical optimization Power system consists of generations, transmission lines, distributions and loads. At the distribution level, 13% of the total generated power consists of real and reactive power losses due to the predominantly inductive nature of loads and distribution feeders as well as transformers and lines which account for substantial portion of power losses caused by lagging currents. In order to show reduction in the reactive power loss and improvement of voltage profile at distribution system, capacitor banks with optimised size placed at identified weak buses has been proposed. Two cases are performed namely base case and reactive power contingency case and implemented on the IEEE 30 bus system adapted with distribution voltage levels. The base case is analysed in PSS/E software to provide a benchmark on the power losses and voltage profile as well as to identify candidate weak buses using normalised value of voltage. Then, a reactive power contingency is carried out to ascertain the appropriate capacitor sizing using QV sensitivity analysis. 2023-07-07T01:49:03Z 2023-07-07T01:49:03Z 2019 Resource Types::text::Final Year Project https://irepository.uniten.edu.my/handle/123456789/27585 en_US application/pdf
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English US
topic Capacitor banks
Mathematical optimization
spellingShingle Capacitor banks
Mathematical optimization
Muhammad Naufal Charles Abdullah
Capacitor bank placement in radial distribution system using particle swarm optimization algorithm
description Power system consists of generations, transmission lines, distributions and loads. At the distribution level, 13% of the total generated power consists of real and reactive power losses due to the predominantly inductive nature of loads and distribution feeders as well as transformers and lines which account for substantial portion of power losses caused by lagging currents. In order to show reduction in the reactive power loss and improvement of voltage profile at distribution system, capacitor banks with optimised size placed at identified weak buses has been proposed. Two cases are performed namely base case and reactive power contingency case and implemented on the IEEE 30 bus system adapted with distribution voltage levels. The base case is analysed in PSS/E software to provide a benchmark on the power losses and voltage profile as well as to identify candidate weak buses using normalised value of voltage. Then, a reactive power contingency is carried out to ascertain the appropriate capacitor sizing using QV sensitivity analysis.
format Resource Types::text::Final Year Project
author Muhammad Naufal Charles Abdullah
author_facet Muhammad Naufal Charles Abdullah
author_sort Muhammad Naufal Charles Abdullah
title Capacitor bank placement in radial distribution system using particle swarm optimization algorithm
title_short Capacitor bank placement in radial distribution system using particle swarm optimization algorithm
title_full Capacitor bank placement in radial distribution system using particle swarm optimization algorithm
title_fullStr Capacitor bank placement in radial distribution system using particle swarm optimization algorithm
title_full_unstemmed Capacitor bank placement in radial distribution system using particle swarm optimization algorithm
title_sort capacitor bank placement in radial distribution system using particle swarm optimization algorithm
publishDate 2023
_version_ 1806425004229787648
score 13.214268