Enhanced volt-var optimization for energy efficiency of electrical system in a large building by considering the particle swarm optimization technique / Amirul Asyraf Mohd Kamaruzaman

Customarily, shunt capacitors are often installed in electrical distribution networks for reactive power compensation which in turn will reduce power losses, voltage profile improvement and feeder capacity releases. This spurs into an idea of energy efficiency and energy saving improvement for an un...

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Main Author:	Mohd Kamaruzaman, Amirul Asyraf
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Applications of electric power
Online Access:	https://ir.uitm.edu.my/id/eprint/59576/1/59576.pdf
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spelling	my-uitm-ir.595762022-05-13T07:05:38Z Enhanced volt-var optimization for energy efficiency of electrical system in a large building by considering the particle swarm optimization technique / Amirul Asyraf Mohd Kamaruzaman 2020-04 Mohd Kamaruzaman, Amirul Asyraf Applications of electric power Customarily, shunt capacitors are often installed in electrical distribution networks for reactive power compensation which in turn will reduce power losses, voltage profile improvement and feeder capacity releases. This spurs into an idea of energy efficiency and energy saving improvement for an unbalanced electrical system in a large-scale commercial type building acquired via the power losses minimization under the concept of Volt-VAR optimization utilizing the capacitors for reactive power compensation and voltage regulators for the voltage magnitude control. However, finding optimal placement and sizing of voltage regulators and capacitors in a large-scale commercial type building having unbalanced electrical system involving an intricate and complex combinatorial optimization problem. In this thesis, a detail analysis of energy efficiency of unbalanced electrical system for large scale commercial type building has been performed with the integration of optimal placement and sizing of voltage regulators subsequent to capacitors (OPS-VRC). Particle Swarm Optimization (PSO) and Stochastic Optimization (SO) techniques have been used to determine the optimal location and sizing for voltage regulators and capacitors yielding to an improvement in terms of energy saving, power losses minimization and total cost investment for the installed equipment. Furthermore, the total cost of energy consumption, total cost of power losses, and voltage regulator as well as capacitor installation costs are the components considered in the objective function of the proposed optimization techniques indispensable to maximize the total energy saving for the unbalanced electrical power system in a large-scale commercial type building. Other than that, voltage magnitude limit, total harmonic distortion of voltage magnitude (THDv), power factor, voltage regulator size and capacitor size are the parameters considered as the constraints for the proposed optimization techniques. In this study, the proposed technique of PSO and SO developed in the MATLAB® has successfully transferred the optimal sizing and placement of voltage regulators and capacitors to the SIMULINK® software. Simultaneously, the SIMULINK® software had performed the load flow solution for the unbalanced electrical system of a large-scale commercial type building and transferred the obtained results back to the MATLAB® software for further and detailed analyses. The results have shown that the proposed method of OPS-VRC based PSO provides a propitious amount of energy saving as well as power loss minimization with minimal investment cost whilst maintaining the power factor, voltage magnitude as well as total harmonic distortion without violating the limit specified by the utility according to Electricity Regulations 1994 and the standard MS IEC 60038:2006. Further comparison in the performance of OPS-VRC based PSO is performed with the newly designed of Stochastic Optimization and PSO for the optimal placement and sizing of capacitors (OPS-C), voltage regulators (OPS-VR), capacitors subsequent to voltage regulators (OPS-CVR), voltage regulators subsequent to capacitors (OPS-VRC) in order to verify effectiveness of the proposed methodology in providing energy efficiency improvement for a large-scale commercial type building. 2020-04 Thesis https://ir.uitm.edu.my/id/eprint/59576/ https://ir.uitm.edu.my/id/eprint/59576/1/59576.pdf text en public masters Universiti Teknologi MARA Faculty of Electrical Engineering Othman, Muhammad Murtadha (Associate Professor Dr.) Musirin, Ismail (Professor Dr.)
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Othman, Muhammad Murtadha (Associate Professor Dr.) Musirin, Ismail (Professor Dr.)
topic	Applications of electric power
spellingShingle	Applications of electric power Mohd Kamaruzaman, Amirul Asyraf Enhanced volt-var optimization for energy efficiency of electrical system in a large building by considering the particle swarm optimization technique / Amirul Asyraf Mohd Kamaruzaman
description	Customarily, shunt capacitors are often installed in electrical distribution networks for reactive power compensation which in turn will reduce power losses, voltage profile improvement and feeder capacity releases. This spurs into an idea of energy efficiency and energy saving improvement for an unbalanced electrical system in a large-scale commercial type building acquired via the power losses minimization under the concept of Volt-VAR optimization utilizing the capacitors for reactive power compensation and voltage regulators for the voltage magnitude control. However, finding optimal placement and sizing of voltage regulators and capacitors in a large-scale commercial type building having unbalanced electrical system involving an intricate and complex combinatorial optimization problem. In this thesis, a detail analysis of energy efficiency of unbalanced electrical system for large scale commercial type building has been performed with the integration of optimal placement and sizing of voltage regulators subsequent to capacitors (OPS-VRC). Particle Swarm Optimization (PSO) and Stochastic Optimization (SO) techniques have been used to determine the optimal location and sizing for voltage regulators and capacitors yielding to an improvement in terms of energy saving, power losses minimization and total cost investment for the installed equipment. Furthermore, the total cost of energy consumption, total cost of power losses, and voltage regulator as well as capacitor installation costs are the components considered in the objective function of the proposed optimization techniques indispensable to maximize the total energy saving for the unbalanced electrical power system in a large-scale commercial type building. Other than that, voltage magnitude limit, total harmonic distortion of voltage magnitude (THDv), power factor, voltage regulator size and capacitor size are the parameters considered as the constraints for the proposed optimization techniques. In this study, the proposed technique of PSO and SO developed in the MATLAB® has successfully transferred the optimal sizing and placement of voltage regulators and capacitors to the SIMULINK® software. Simultaneously, the SIMULINK® software had performed the load flow solution for the unbalanced electrical system of a large-scale commercial type building and transferred the obtained results back to the MATLAB® software for further and detailed analyses. The results have shown that the proposed method of OPS-VRC based PSO provides a propitious amount of energy saving as well as power loss minimization with minimal investment cost whilst maintaining the power factor, voltage magnitude as well as total harmonic distortion without violating the limit specified by the utility according to Electricity Regulations 1994 and the standard MS IEC 60038:2006. Further comparison in the performance of OPS-VRC based PSO is performed with the newly designed of Stochastic Optimization and PSO for the optimal placement and sizing of capacitors (OPS-C), voltage regulators (OPS-VR), capacitors subsequent to voltage regulators (OPS-CVR), voltage regulators subsequent to capacitors (OPS-VRC) in order to verify effectiveness of the proposed methodology in providing energy efficiency improvement for a large-scale commercial type building.
format	Thesis
qualification_level	Master's degree
author	Mohd Kamaruzaman, Amirul Asyraf
author_facet	Mohd Kamaruzaman, Amirul Asyraf
author_sort	Mohd Kamaruzaman, Amirul Asyraf
title	Enhanced volt-var optimization for energy efficiency of electrical system in a large building by considering the particle swarm optimization technique / Amirul Asyraf Mohd Kamaruzaman
title_short	Enhanced volt-var optimization for energy efficiency of electrical system in a large building by considering the particle swarm optimization technique / Amirul Asyraf Mohd Kamaruzaman
title_full	Enhanced volt-var optimization for energy efficiency of electrical system in a large building by considering the particle swarm optimization technique / Amirul Asyraf Mohd Kamaruzaman
title_fullStr	Enhanced volt-var optimization for energy efficiency of electrical system in a large building by considering the particle swarm optimization technique / Amirul Asyraf Mohd Kamaruzaman
title_full_unstemmed	Enhanced volt-var optimization for energy efficiency of electrical system in a large building by considering the particle swarm optimization technique / Amirul Asyraf Mohd Kamaruzaman
title_sort	enhanced volt-var optimization for energy efficiency of electrical system in a large building by considering the particle swarm optimization technique / amirul asyraf mohd kamaruzaman
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Electrical Engineering
publishDate	2020
url	https://ir.uitm.edu.my/id/eprint/59576/1/59576.pdf
_version_	1783735040519176192

Enhanced volt-var optimization for energy efficiency of electrical system in a large building by considering the particle swarm optimization technique / Amirul Asyraf Mohd Kamaruzaman

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