Shunt active power filter based on particle swarm optimization-wavelet transform and zero crossing controller

One of the serious problems with modern electrical loads is harmonics, which is generated from nonlinear loads. Harmonics can lead to excessive heat and noise in the loads and create large amount of energy losses either in transmission systems or distribution systems. Compensation of these harmonics...

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Main Author:	Thajeel, Ekhlas Mhawi
Format:	Thesis
Language:	English
Published:	2018
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/24974/ http://umpir.ump.edu.my/id/eprint/24974/ http://umpir.ump.edu.my/id/eprint/24974/1/Shunt%20active%20power%20filter%20based%20on%20particle%20swarm%20optimization-wavelet.pdf

id	ump-24974
recordtype	eprints
spelling	ump-249742019-07-04T02:07:14Z http://umpir.ump.edu.my/id/eprint/24974/ Shunt active power filter based on particle swarm optimization-wavelet transform and zero crossing controller Thajeel, Ekhlas Mhawi TK Electrical engineering. Electronics Nuclear engineering One of the serious problems with modern electrical loads is harmonics, which is generated from nonlinear loads. Harmonics can lead to excessive heat and noise in the loads and create large amount of energy losses either in transmission systems or distribution systems. Compensation of these harmonics substantially improves the power factor and reduces the total harmonic distortion index (THD). This means that the system can transfer more active power without having to increase the capacity. Traditionally, passive filters have been used to remove harmonics but for their intrinsic downsides, they have been replaced by active power filter (APF). APF has superior filtering characteristics and dynamic response compared to passive filters. Over the past decades, there has been a significant increase in interest of APFs and its control methods. There are three factors that drives the research in this thesis; (1) although many studies has proven that zero crossing information is crucial in many control signal, there have been no attempt on incorporating zero crossing controller (ZCC) in APF DC link voltage regulation, (2) Particle swarm optimization (PSO) has been adapted for DC link voltage regulation in APF, but there is lack of evidences of dynamic performance investigation for such techniques, and (3) Synchronous Reference Frame (SRF) has been widely adopted for harmonics extraction in APF, although it has been found out to have a slow response. Discrete Wavelet Transform (DWT) on the other hand, is a good candidate for harmonics extraction, but have not received enough attention in the literature due to its relatively high complexity. This study attempts to tackle these gaps by introducing ZCC, PSO and DWT as a new fusion of controller for APF. The new controller is thoroughly developed and rigorously simulated in MATLAB-Simulink environment. The harmonics source is a 5.5 kW nonlinear load mimicking a real-life load from previous practical studies. The test cases ranges from steady state, various loads, dynamic loads and unbalance voltage. The results show that DWT outperforms SRF in all test cases with average 53% improvement. It is also found out that the combination of PSO and DWT yield better results in general. It is a superior controller as compared to traditional Zeigler-Nichols tuned Proportional Integral (PIZN) controller and Fuzzy Logic Controller (FLC). However, ZCC-DWT consistently yields better performance than all other controller in one of the test case; the unbalance voltage. As conclusion, DWT is a better candidate for harmonics extraction in APF, as compared with SRF. Together with DWT, PSO and ZCC perform very well in different test cases. This new combination of controller is a good candidate to be widely accepted as a new controller in modern APF. 2018-06 Thesis NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24974/1/Shunt%20active%20power%20filter%20based%20on%20particle%20swarm%20optimization-wavelet.pdf Thajeel, Ekhlas Mhawi (2018) Shunt active power filter based on particle swarm optimization-wavelet transform and zero crossing controller. PhD thesis, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:105335&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Thajeel, Ekhlas Mhawi Shunt active power filter based on particle swarm optimization-wavelet transform and zero crossing controller
description	One of the serious problems with modern electrical loads is harmonics, which is generated from nonlinear loads. Harmonics can lead to excessive heat and noise in the loads and create large amount of energy losses either in transmission systems or distribution systems. Compensation of these harmonics substantially improves the power factor and reduces the total harmonic distortion index (THD). This means that the system can transfer more active power without having to increase the capacity. Traditionally, passive filters have been used to remove harmonics but for their intrinsic downsides, they have been replaced by active power filter (APF). APF has superior filtering characteristics and dynamic response compared to passive filters. Over the past decades, there has been a significant increase in interest of APFs and its control methods. There are three factors that drives the research in this thesis; (1) although many studies has proven that zero crossing information is crucial in many control signal, there have been no attempt on incorporating zero crossing controller (ZCC) in APF DC link voltage regulation, (2) Particle swarm optimization (PSO) has been adapted for DC link voltage regulation in APF, but there is lack of evidences of dynamic performance investigation for such techniques, and (3) Synchronous Reference Frame (SRF) has been widely adopted for harmonics extraction in APF, although it has been found out to have a slow response. Discrete Wavelet Transform (DWT) on the other hand, is a good candidate for harmonics extraction, but have not received enough attention in the literature due to its relatively high complexity. This study attempts to tackle these gaps by introducing ZCC, PSO and DWT as a new fusion of controller for APF. The new controller is thoroughly developed and rigorously simulated in MATLAB-Simulink environment. The harmonics source is a 5.5 kW nonlinear load mimicking a real-life load from previous practical studies. The test cases ranges from steady state, various loads, dynamic loads and unbalance voltage. The results show that DWT outperforms SRF in all test cases with average 53% improvement. It is also found out that the combination of PSO and DWT yield better results in general. It is a superior controller as compared to traditional Zeigler-Nichols tuned Proportional Integral (PIZN) controller and Fuzzy Logic Controller (FLC). However, ZCC-DWT consistently yields better performance than all other controller in one of the test case; the unbalance voltage. As conclusion, DWT is a better candidate for harmonics extraction in APF, as compared with SRF. Together with DWT, PSO and ZCC perform very well in different test cases. This new combination of controller is a good candidate to be widely accepted as a new controller in modern APF.
format	Thesis
author	Thajeel, Ekhlas Mhawi
author_facet	Thajeel, Ekhlas Mhawi
author_sort	Thajeel, Ekhlas Mhawi
title	Shunt active power filter based on particle swarm optimization-wavelet transform and zero crossing controller
title_short	Shunt active power filter based on particle swarm optimization-wavelet transform and zero crossing controller
title_full	Shunt active power filter based on particle swarm optimization-wavelet transform and zero crossing controller
title_fullStr	Shunt active power filter based on particle swarm optimization-wavelet transform and zero crossing controller
title_full_unstemmed	Shunt active power filter based on particle swarm optimization-wavelet transform and zero crossing controller
title_sort	shunt active power filter based on particle swarm optimization-wavelet transform and zero crossing controller
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/24974/ http://umpir.ump.edu.my/id/eprint/24974/ http://umpir.ump.edu.my/id/eprint/24974/1/Shunt%20active%20power%20filter%20based%20on%20particle%20swarm%20optimization-wavelet.pdf
first_indexed	2023-09-18T22:38:06Z
last_indexed	2023-09-18T22:38:06Z
_version_	1777416731214479360

Shunt active power filter based on particle swarm optimization-wavelet transform and zero crossing controller

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