Staff View: Voltage Sag And Swell Mitigation Using Grey Wolf Optimizer (Gwo) For A Single-Phase Grid-Connected Photovoltaic System

Voltage Sag And Swell Mitigation Using Grey Wolf Optimizer (Gwo) For A Single-Phase Grid-Connected Photovoltaic System

The most prominent power quality challenges affecting distribution networks are voltage sag and swell, especially in sectors where losses can be significant. The reason that the power quality issue must be resolved as soon as possible is that high power quality may save money and energy. Lower energ...

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Main Author:	Jeff Collven, Claisdell Lorren
Format:	Undergraduates Project Papers
Language:	English
Published:	2022
Subjects:	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/39933/1/EC18043_Jeff%20Collven_Thesis%20-%20Jeff%20Collven.pdf http://umpir.ump.edu.my/id/eprint/39933/
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spelling	my.ump.umpir.399332024-01-09T04:55:02Z http://umpir.ump.edu.my/id/eprint/39933/ Voltage Sag And Swell Mitigation Using Grey Wolf Optimizer (Gwo) For A Single-Phase Grid-Connected Photovoltaic System Jeff Collven, Claisdell Lorren TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering The most prominent power quality challenges affecting distribution networks are voltage sag and swell, especially in sectors where losses can be significant. The reason that the power quality issue must be resolved as soon as possible is that high power quality may save money and energy. Lower energy costs and reactive power pricing provide direct benefits to customers. Indirect savings are realized by avoiding situations such as equipment damage and premature aging, productivity loss, and data and work loss. The main objective of this research is to design a simple control strategy by using the Proportional Integral-Grey Wolf Optimizer (PI-GWO) to mitigate voltage sag and swell during weak grid conditions. The research presents a newly developed and efficient optimization technique called GWO for the first time to solve power quality disturbances in single-phase grid-connected systems. Grey wolf optimization (GWO) is a new meta-heuristic optimization approach based on the influence of wolves' natural leadership hierarchy and hunting mechanism. The proposed design required the photovoltaic (PV) array to be connected to a single-phase grid-connected system. First, a 5MW photovoltaic power supply is developed before being connected to the grid. Then, at the grid section, voltage sag and swell configurations are applied to show the single-phase faults that normally occur in the grid – voltage sag and swell. PI-GWO is introduced into the system to mitigate the power quality issue and analyze its effectiveness under different percentages of voltage sag and swell. It is found that the 10% and 20% of voltage sag and swell could be mitigate by using PI-GWO controller for a single-phase grid-connected photovoltaic system. 2022-06 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39933/1/EC18043_Jeff%20Collven_Thesis%20-%20Jeff%20Collven.pdf Jeff Collven, Claisdell Lorren (2022) Voltage Sag And Swell Mitigation Using Grey Wolf Optimizer (Gwo) For A Single-Phase Grid-Connected Photovoltaic System. College of Engineering, 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 Jeff Collven, Claisdell Lorren Voltage Sag And Swell Mitigation Using Grey Wolf Optimizer (Gwo) For A Single-Phase Grid-Connected Photovoltaic System
description	The most prominent power quality challenges affecting distribution networks are voltage sag and swell, especially in sectors where losses can be significant. The reason that the power quality issue must be resolved as soon as possible is that high power quality may save money and energy. Lower energy costs and reactive power pricing provide direct benefits to customers. Indirect savings are realized by avoiding situations such as equipment damage and premature aging, productivity loss, and data and work loss. The main objective of this research is to design a simple control strategy by using the Proportional Integral-Grey Wolf Optimizer (PI-GWO) to mitigate voltage sag and swell during weak grid conditions. The research presents a newly developed and efficient optimization technique called GWO for the first time to solve power quality disturbances in single-phase grid-connected systems. Grey wolf optimization (GWO) is a new meta-heuristic optimization approach based on the influence of wolves' natural leadership hierarchy and hunting mechanism. The proposed design required the photovoltaic (PV) array to be connected to a single-phase grid-connected system. First, a 5MW photovoltaic power supply is developed before being connected to the grid. Then, at the grid section, voltage sag and swell configurations are applied to show the single-phase faults that normally occur in the grid – voltage sag and swell. PI-GWO is introduced into the system to mitigate the power quality issue and analyze its effectiveness under different percentages of voltage sag and swell. It is found that the 10% and 20% of voltage sag and swell could be mitigate by using PI-GWO controller for a single-phase grid-connected photovoltaic system.
format	Undergraduates Project Papers
author	Jeff Collven, Claisdell Lorren
author_facet	Jeff Collven, Claisdell Lorren
author_sort	Jeff Collven, Claisdell Lorren
title	Voltage Sag And Swell Mitigation Using Grey Wolf Optimizer (Gwo) For A Single-Phase Grid-Connected Photovoltaic System
title_short	Voltage Sag And Swell Mitigation Using Grey Wolf Optimizer (Gwo) For A Single-Phase Grid-Connected Photovoltaic System
title_full	Voltage Sag And Swell Mitigation Using Grey Wolf Optimizer (Gwo) For A Single-Phase Grid-Connected Photovoltaic System
title_fullStr	Voltage Sag And Swell Mitigation Using Grey Wolf Optimizer (Gwo) For A Single-Phase Grid-Connected Photovoltaic System
title_full_unstemmed	Voltage Sag And Swell Mitigation Using Grey Wolf Optimizer (Gwo) For A Single-Phase Grid-Connected Photovoltaic System
title_sort	voltage sag and swell mitigation using grey wolf optimizer (gwo) for a single-phase grid-connected photovoltaic system
publishDate	2022
url	http://umpir.ump.edu.my/id/eprint/39933/1/EC18043_Jeff%20Collven_Thesis%20-%20Jeff%20Collven.pdf http://umpir.ump.edu.my/id/eprint/39933/
_version_	1822924067567566848
score	13.232414

Voltage Sag And Swell Mitigation Using Grey Wolf Optimizer (Gwo) For A Single-Phase Grid-Connected Photovoltaic System

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