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Dissertations / Theses on the topic 'Power quality disturbances'

Author: Grafiati
Published: 6 September 2023
Last updated: 25 July 2025

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1

Parsons, Antony Cozart. "Automatic location of transient power quality disturbances /." Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.

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2

Dwijaya, Saputra I. "Detection of power disturbances for power quality monitoring using mathematical morphology." Thesis, University of Liverpool, 2017. http://livrepository.liverpool.ac.uk/3009798/.

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In power quality monitoring, determining the type of power quality disturbance occurring in the power system is important. Some disturbances such as, voltage dip, momentary interruption, voltage swell, or oscillatory transients in power systems may result internal-function or failure in the operation of some devices. Knowing the location where the disturbances occur in the system can yield an effective and efficient result when an appropriate method is applied in the attempt to solve the power quality issues. Some traditional strategies such as, wavelet or Fast Fourier transforms have been appl
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3

Settipalli, Praveen. "AUTOMATED CLASSIFICATION OF POWER QUALITY DISTURBANCES USING SIGNAL PROCESSING TECHNIQUES AND NEURAL NETWORKS." UKnowledge, 2007. http://uknowledge.uky.edu/gradschool_theses/430.

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This thesis focuses on simulating, detecting, localizing and classifying the power quality disturbances using advanced signal processing techniques and neural networks. Primarily discrete wavelet and Fourier transforms are used for feature extraction, and classification is achieved by using neural network algorithms. The proposed feature vector consists of a combination of features computed using multi resolution analysis and discrete Fourier transform. The proposed feature vectors exploit the benefits of having both time and frequency domain information simultaneously. Two different classific
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4

Axelberg, Peter. "On Tracing Flicker Sources and Classification of Voltage Disturbances." Doctoral thesis, Högskolan i Borås, Institutionen Ingenjörshögskolan, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-3416.

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Developments in measurement technology, communication and data storage have resulted in measurement systems that produce large amount of data. Together with the long existing need for characterizing the performance of the power system this has resulted in demand for automatic and efficient information-extraction methods. The objective of the research work presented in this thesis was therefore to develop new robust methods that extract additional information from voltage and current measurements in power systems. This work has contributed to two specific areas of interest.The first part of the
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5

Ando, Junior Oswaldo Hideo. "Desenvolvimento de uma metodologia para identificar e quantificar distúrbios da qualidade da energia elétrica." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2009. http://hdl.handle.net/10183/18419.

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Este trabalho apresenta uma metodologia para análise e monitoração da qualidade da energia elétrica, através da identificação e quantificação dos distúrbios eletromagnéticos. A metodologia utiliza técnicas de processamento digital de sinais, possibilitando a construção de filtros digitais, a detecção de eventos e a estimativa da freqüência dos sinais elétricos analisados. Os principais distúrbios da qualidade definidos pelas normas da ANEEL e do ONS são quantificados através do algoritmo proposto. O programa desenvolvido foi testado usando formas de ondas com distúrbios previamente conhecidos
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6

Rosado, Sebastian Pedro. "Analysis of Electric Disturbances from the Static Frequency Converter of a Pumped Storage Station." Thesis, Virginia Tech, 2001. http://hdl.handle.net/10919/34448.

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The present work studies the disturbances created in the electric system of a pumped storage power plant, which is an hydraulic generation facility where the machines can work as turbines or pumps, by the operation of a static frequency converter (SFC). The SFC is used for starting the synchronous machines at the station when in the pump mode. During the starting process several equipment is connected to the SFC being possible to get affected by the disturbances generated. These disturbances mainly include the creation of transient overvoltages during the commutation of the semiconductor devic
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Alshahrani, Saeed Sultan. "Detection, classification and control of power quality disturbances based on complementary ensemble empirical mode decomposition and artificial neural networks." Thesis, Brunel University, 2017. http://bura.brunel.ac.uk/handle/2438/15872.

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8

Moses, Paul S. "Operation and performance of three-phase asymmetric multi-leg power transformers subjected to nonlinear and dynamic electromagnetic disturbances." Thesis, Curtin University, 2012. http://hdl.handle.net/20.500.11937/1529.

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Three-phase power transformers continue to be an important fixture in modern power systems since their initial development in the 1880s. While transformer design has fundamentally remained the same, the operating environment has significantly changed. This is apparent through new flexible network operations (e.g., integration of renewable energy sources), growing network complexities (e.g., deployment of micro-grids, smart grids, etc.) and increasing use of nonlinear power electronic equipment (e.g., power converters and motor drives). Thus the issue of power
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9

Al, Abed Isrà. "Measurement System at Large Bandwidth for Quality Evaluation of Electric Energy up to 150 kHz." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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Nowadays, Power Quality monitoring is an essential service many utilities perform for their industrial and other key commercial customers. Monitoring power quality has become specifically more effective in recent years due to the advent of the technology and software. Not only can a monitoring system provide information such as quality of the power and the causes of power system disturbances, but it is also able to identify problem conditions throughout the system prior they cause widespread customer complaints, equipment malfunctions, and even equipment failures. Power Quality problems are
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10

Oubrahim, Zakarya. "On electric grid power quality monitoring using parametric signal processing techniques." Thesis, Brest, 2017. http://www.theses.fr/2017BRES0102/document.

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Cette thèse porte sur la surveillance des perturbations de la qualité de l’énergie d’un réseau électrique via des techniques paramétriques de traitement du signal. Pour élaborer nos algorithmes de traitement du signal, nous avons traité les problèmes d’estimation des différentes grandeurs du réseau électrique triphasé et de classification des perturbations de la qualité d'énergie. Pour ce qui est du problème d’estimation, nous avons développé une technique statistique basée sur le maximum de vraisemblance. La technique proposée exploite la nature multidimensionnelle des signaux électriques. El
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11

Carvalho, Flavio Gomes de. "Caracterização do conteúdo harmônico em ambientes residenciais: estudo de caso." Universidade Federal da Paraíba, 2015. http://tede.biblioteca.ufpb.br:8080/handle/tede/7556.

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Submitted by Maria Suzana Diniz (msuzanad@hotmail.com) on 2015-11-06T13:34:11Z No. of bitstreams: 1 arquivototal.pdf: 8252204 bytes, checksum: ee6c84ddd82f31470862718d3b1b3abc (MD5)<br>Made available in DSpace on 2015-11-06T13:34:11Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 8252204 bytes, checksum: ee6c84ddd82f31470862718d3b1b3abc (MD5) Previous issue date: 2015-02-26<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES<br>In this work a characterization of harmonic content in residential electrical systems through a set of measurements over various periods of tim
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Arruda, Elcio Franklin de. "Análise de distúrbios relacionados com a qualidade da energia elétrica utilizando a transformada Wavelet." Universidade de São Paulo, 2003. http://www.teses.usp.br/teses/disponiveis/18/18133/tde-25102007-090916/.

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O presente trabalho visa a utilização da transformada Wavelet no monitoramento do sistema elétrico no que diz respeito a problemas de qualidade da energia com o intuito de detectar, localizar e classificar os mesmos. A transformada Wavelet tem surgido na literatura como uma nova ferramenta para análise de sinais, utilizando funções chamadas Wavelet mãe para mapear sinais em seu domínio, fornecendo informações simultâneas nos domínios tempo e freqüência. A transformada Wavelet é realizada através de filtros decompondo-se um dado sinal em análise multiresolução. Por esta, obtém-se a detecção e a
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Arruda, Bruno Willian de Souza. "Classificação de distúrbios de energia elétrica baseada em sistemas imunológicos artificiais." Universidade Federal da Paraíba, 2015. http://tede.biblioteca.ufpb.br:8080/handle/tede/7557.

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Submitted by Maria Suzana Diniz (msuzanad@hotmail.com) on 2015-11-06T14:05:54Z No. of bitstreams: 1 arquivototal.pdf: 2092102 bytes, checksum: 1fd93fe1d9dbe62fb49d94dfd1cfdbdb (MD5)<br>Made available in DSpace on 2015-11-06T14:05:54Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 2092102 bytes, checksum: 1fd93fe1d9dbe62fb49d94dfd1cfdbdb (MD5) Previous issue date: 2015-02-10<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES<br>Nowadays, electricity assumes an essential role in the sustainability of modern society. The requirement and consumer demand for power quality a
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14

Phan, Anh Tuan. "Power Systems Model Developments for Power Qality Monitoring : Application to Fundamental Frequency and Unbalance Estimation." Thesis, Mulhouse, 2016. http://www.theses.fr/2016MULH8692/document.

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Les énergies renouvelables, l’énergie sous la forme électrique et son transport à l’aide de réseaux électriques intelligents représentent aujourd’hui des enjeux majeurs car ils ont de grands impacts environnementaux et sociétaux. Ainsi, la production, le transport et la gestion de l’énergie électrique, continuent toujours à susciter un intérêt croissant. Pour atteindre ces objectifs, plusieurs verrous technologiques doivent être levés. Au-delà des questions liées aux architectures des réseaux électriques, aux modèles, aux outils de dimensionnement, à la formalisation de caractéristiques et d’i
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15

Carlsson, Fredrik. "On impacts and ride-through of voltage sags exposing line-operated AC-machines and metal processes." Doctoral thesis, KTH, Electrical Systems, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3681.

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<p>During the last decade, power quality has been recognised asa global problem. Among different types of power qualityproblems, voltage sags have been identified to be one of themost severe problems for different process industries. The mostcommon reason to voltage sags is lightning strikes in powerlines. Protection equipment, usually located at switchyards,disconnect faulted power lines as soon as possible, which isapproximately 100 ms. Thus, the duration of voltage sags areapproximately 100 ms. The sensitivity to voltage sags ofelectrical equipment in process industries can be observed asfo
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Cândido, Marcos Rogério. "Aplicação da transformada Wavelet na análise da qualidade de energia em fornos elétricos a arco." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/3/3143/tde-09022009-181024/.

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Neste trabalho, desenvolveu-se um novo método para a detecção e classificação dos distúrbios que afetam a qualidade de energia elétrica em sistemas elétricos industriais na presença de fornos elétricos a arco. Durante o processo de fusão dos fornos elétricos a arco, ocorrem diversos eventos que afetam o sistema elétrico ao qual estão inseridos, tendo como características: forma de onda do sinal de corrente altamente desequilibradas e com grande distorção devido aos harmônicos, efeitos de cintilação; bem como afundamento e elevação nos sinais de tensão. O método ora proposto foi aplicado a sina
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17

Borges, Fábbio Anderson Silva. "Extração de características combinadas com árvore de decisão para detecção e classificação dos distúrbios de qualidade da energia elétrica." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/18/18153/tde-01102013-104201/.

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Este trabalho apresenta uma metodologia de detecção e classificação de distúrbios relacionados à qualidade da energia elétrica. A detecção é feita utilizando-se somente uma regra para inferir na presença ou não do distúrbio em uma janela analisada. Para a classificação é proposto um método baseado em árvore de decisão. A árvore recebe como entrada as características do sinal extraídas tanto no domínio do tempo como no domínio da frequência, sendo a última obtida pela Transformada de Fourier. Destaca-se que toda a metodologia de extração de características foi idealizada como tentativa de se re
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18

Borges, Fábbio Anderson Silva. "Método híbrido baseado no algoritmo k-means e regras de decisão para localização das fontes de variações de tensões de curta duração no contexto de Smart Grid." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/18/18153/tde-04102017-105849/.

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No contexto de Smart Grids, determinar a correta localização das fontes causadoras de Variação de Tensão de Curta Duração (VTCD) não é uma tarefa simples, devido à curta duração destes eventos e também, por sua rápida propagação nas redes de distribuição de energia elétrica. Neste sentido, esse trabalho apresentou um método híbrido recursivo baseado em ferramentas da área de aprendizado de máquinas (algoritmo de agrupamento e base de regras), o qual é capaz de localizar as fontes de VTCD, a partir da análise dos das características dos distúrbios disponibilizadas pelos smart meters instalados
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19

Souza, Silvio Aparecido de. "Utilização da Transformada de Fourier Janelada para caracterização de distúrbios na qualidade da energia elétrica." Universidade de São Paulo, 2004. http://www.teses.usp.br/teses/disponiveis/18/18133/tde-12052017-104820/.

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Este trabalho apresenta um estudo da aplicação da Transformada de Fourier Janelada à Qualidade da Energia Elétrica. Esta abordagem procura, pela implementação de um algoritmo computacional, detectar, localizar e classificar eventuais distúrbios que ocorrem em um determinado Sistema Elétrico. Da situação atual, tem-se que variações nas formas de ondas dos sinais de tensão como elevação, afundamento e interrupção de tensão, oscilações transitórias e ruídos, são freqüentes, chamando a atenção para a qualidade da energia elétrica fornecida pelas concessionárias. A análise de tais fenômenos, que no
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Santos, Crisluci Karina Souza. "Classifica??o de dist?rbios na rede el?trica usando redes neurais e wavelets." Universidade Federal do Rio Grande do Norte, 2008. http://repositorio.ufrn.br:8080/jspui/handle/123456789/15119.

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Made available in DSpace on 2014-12-17T14:54:49Z (GMT). No. of bitstreams: 1 CrisluciKSS.pdf: 1753956 bytes, checksum: 06fc893387f3832c2cc344c281169f6d (MD5) Previous issue date: 2008-10-13<br>Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior<br>Post dispatch analysis of signals obtained from digital disturbances registers provide important information to identify and classify disturbances in systems, looking for a more efficient management of the supply. In order to enhance the task of identifying and classifying the disturbances - providing an automatic assessment - techniques of
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Filho, Odilon Delmont. "Um algoritmo para detecção, localização e classificação de distúrbios na qualidade da energia elétrica utilizando a transformada wavelet." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/18/18154/tde-15062007-074110/.

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A Qualidade da energia elétrica é caracterizada pela disponibilidade da energia através de uma forma de onda senoidal pura, sem alterações na amplitude e freqüência. No entanto situações transitórias em sistemas de potência são comuns e estas podem provocar inúmeras interferências indesejáveis. Neste contexto, este trabalho tem como objetivo desenvolver um algoritmo para detectar, localizar no tempo e classificar diversos distúrbios que ocorrem no sistema elétrico através da aplicação da transformada wavelet (TW). Foi realizado um estudo teórico desde a origem até os recentes avanços sobre a T
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Filho, Odilon Delmont. "Utilização da transformada Wavelet para caracterização de distúrbios na qualidade da energia elétrica." Universidade de São Paulo, 2003. http://www.teses.usp.br/teses/disponiveis/18/18133/tde-14012005-153030/.

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Este trabalho apresenta um estudo sobre transformada Wavelet aplicada à qualidade da energia elétrica com o intuito de detectar, localizar e classificar eventuais distúrbios que ocorrem no sistema elétrico. Inicialmente é apresentada uma introdução sobre qualidade da energia, mostrando fatos, evoluções e explicando o conceito dos principais fenômenos que interferem na qualidade da energia do sistema elétrico brasileiro, devido, principalmente, à grande demanda de aparelhos eletrônicos produzidos atualmente. Em seguida é mostrada uma revisão dos principais métodos e modelos aplicados atualmente
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23

Lin, Zhemin. "The economic losses of power quality disturbance : different perspectives of cost models." Thesis, University of Strathclyde, 2012. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=18700.

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An assessment of the economic impact of power quality disturbances can be performed from the perspective of either electricity customers or power grid owners, depending on the consequences considered by either side. Examples of economic losses due to power quality issues for power grid owners may include compensation and loss of customer royalties, while for electricity customers, the losses may come from damaged products, disrupted industrial process and loss of revenue. In this thesis, the economic losses due to power quality issues are mainly discussed from the customer-oriented perspective
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Andrade, Luciano Carli Moreira de. "Transformada Wavelet e técnicas de inteligência computacional aplicadas à identificação, compressão e armazenamento de sinais no contexto de qualidade da energia elétrica." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/18/18154/tde-09082017-081609/.

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A presença de distúrbios na energia elétrica fornecida aos consumidores pode causar a diminuição no tempo de vida útil dos equipamentos, mal funcionamento ou até mesmo sua perda. Desse modo, ferramentas capazes de realizar a detecção, localização, classificação, compressão e o armazenamento de sinais de forma automática e organizada são essenciais para garantir um processo de monitoramento adequado ao sistema elétrico de potência como um todo. Dentre as ferramentas comumente aplicadas às tarefas supramencionadas, pode-se destacar a Transformada Wavelet (TW) e as Redes Neurais Artificiais (RNAs
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Сиченко, Віктор Григорович, Виктор Григорьевич Сыченко, Victor G. Sichenko та Viktor H. Sychenko. "Розвиток наукових основ підвищення електромагнітної сумісності підсистем електричної тяги постійного струму залізничного транспорту". Thesis, Видавництво Дніпропетровського національного університету залізничного транспорту імені академіка В. Лазаряна, 2011. http://eadnurt.diit.edu.ua/jspui/handle/123456789/816.

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Сиченко, В. Г. Розвиток наукових основ підвищення електромагнітної сумісності підсистем електричної тяги постійного струму залізничного транспорту : авт. дис. д-ра т. н.: 05.22.09 / В. Г. Сиченко ; Дніпропетр. нац. ун-т залізн. трансп. ім. акад. В. Лазаряна. - Д., 2011.<br>UA: АНОТАЦІЯ Дисертаційну роботу присвячено вирішенню науково-технічної проблеми – підвищенню електромагнітної сумісності підсистем електричної тяги постійного струму в умовах впровадження швидкісного руху, що покращить техніко- економічні показники перевізного процесу, його енергоефективність та безпеку. В результаті
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Looja, Tuladhar R. "Control of Custom Power System using Active Disturbance Rejection Control." Cleveland State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=csu1438913443.

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Manmek, Thip Electrical Engineering &amp Telecommunications Faculty of Engineering UNSW. "Real-time power system disturbance identification and its mitigation using an enhanced least squares algorithm." Awarded by:University of New South Wales. Electrical Engineering and Telecommunications, 2006. http://handle.unsw.edu.au/1959.4/26233.

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This thesis proposes, analyses and implements a fast and accurate real-time power system disturbances identification method based on an enhanced linear least squares algorithm for mitigation and monitoring of various power quality problems such as current harmonics, grid unbalances and voltage dips. The enhanced algorithm imposes less real-time computational burden on processing the system and is thus called ???efficient least squares algorithm???. The proposed efficient least squares algorithm does not require matrix inversion operation and contains only real numbers. The number of required r
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Aguiar, Eduardo Pestana de. "Sistema de inferência Fuzzy para classificação de distúrbios em sinais elétricos." Universidade Federal de Juiz de Fora (UFJF), 2011. https://repositorio.ufjf.br/jspui/handle/ufjf/4149.

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Oliveira, José Mário Menescal de. "Efeitos da operação do gerador de indução no comportamento do gerador síncrono operando em um sistema isolado alimentando cargas não lineares." Universidade Federal de Goiás, 2018. http://repositorio.bc.ufg.br/tede/handle/tede/8878.

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Lima, Marcelo Antonio Alves. "Uma nova metodologia para análise da qualidade da energia elétrica sob condições de ocorrência de múltiplos distúrbios." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/18/18154/tde-14112013-102931/.

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Um Sistema Elétrico de Potência (SEP) está susceptível à presença de diversas fontes de distúrbios que prejudicam a Qualidade da Energia Elétrica (QEE). Desta forma, as suas tensões e/ou correntes podem conter m´múltiplos distúrbios com ocorrência simultânea. Este trabalho apresenta uma metodologia para decomposição do sinal medido em componentes que estimem as formas de onda dos distúrbios individuais quando da ocorrência de m´múltiplos distúrbios, com o posterior reconhecimento de cada um deles. A Análise de Componentes Independentes (ICA) é utilizada como principal ferramenta na etapa de de
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BHAGAT, NEERAJ KUMAR. "DETECTIONOF POWER QUALITY DISTURBANCES." Thesis, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18945.

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Automated and quick fault detection has received quite a lot of importance and some comprehensive studies have been done because of interlinking of varieties of disturbances in the power system. It takes ideal sinusoidal signal as training data aiming to recognize the other different types of faults, it generally involves two problems, i.e., selection and matching between the training and the testing data. Many studies have either studied the two independently or only focusing on selection part with less focus on the matching part of the algorithm. In this paper we propose the algo
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Kumar, Raj. "Assessment and mitigation of power quality disturbances." Thesis, 2016. http://localhost:8080/xmlui/handle/12345678/7153.

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Hoang, TA. "Wavelet-based techniques for classification of power quality disturbances." Thesis, 2003. https://eprints.utas.edu.au/20549/1/whole_HoangTuanAnh2003_thesis.pdf.

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The quality of power supply has become an important issue for electricity utilities and their customers. In recent years there has been a rising incidence of damage attributed to the power quality supplied to the customers of electric utilities. Meanwhile, there has been a rapid increase in the already widespread use of electronic equipment and modem power electronic devices. These trends have both decreased the quality of power on the electric grid and increased the equipment's sensitivity to power quality disturbances. In order to improve the quality of the power supply, identifying t
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Choudhury, Debasis. "Characterization of Power Quality Disturbances using Signal Processing and Soft Computing Techniques." Thesis, 2013. http://ethesis.nitrkl.ac.in/4745/1/210EE2101.pdf.

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The power quality of the electric power has become an important issue for the electric utilities and their customers. In order to improve the quality of power, electric utilities continuously monitor power delivered at customer sites. Thus automatic classification of distribution line disturbances is highly desirable. The detection and classification of the power quality (PQ) disturbances in power systems are important tasks in monitoring and protection of power system network. Most of the disturbances are non-stationary and transitory in nature hence it requires advanced tools and techniques
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35

Lu, Chen-Wen, and 呂振文. "A Study of Power Quality Disturbances-Monitoring Instrumentation and Measurement Technology." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/83298149758117506585.

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博士<br>國立成功大學<br>電機工程學系碩博士班<br>92<br>Electrical power signal measurement and analysis are two important aspects in power quality. In this dissertation, an application of virtual instrument approach for probing the data of power quality disturbances is first proposed. In the proposed instrumentation system, a data acquisition interface is implemented along with digital algorithms developed by LabVIEW tools. The proposed system can be applied to investigate different disturbances that include voltage harmonics, voltage flickers and three-phase voltage unbalances. Through a certain period of distu
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Behera, Satyajit, and Sudhanshu Sekhar Send. "Characterization of Various Power Quality Disturbances Based on Signal Processing and Artificial Intelligence Scheme." Thesis, 2015. http://ethesis.nitrkl.ac.in/7638/1/200.pdf.

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These days the electrical power quality has become a vital issue for the utilities and the consumers. Use of non-linear and sensitive loads add gradual deterioration of power quality. To improve power quality, automatic classification of power quality disturbances(PQDs) is much essential, which are also important for protection of transmission system network. Disturbances are mostly transient and temporary, thereby necessitate suitable method to analyze PQDs. In this paper a combined technique in the form of wavelet transform(WT) in association with fuzzy expert system is used for characterizi
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Ianniello, Giacomo. "Power quality measurement methods aimed at disturbances detection and instrumentation susceptibility assessment." Tesi di dottorato, 2013. http://www.fedoa.unina.it/9380/1/Ianniello_Giacomo_25.pdf.

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In this work several important aspects of power quality are discussed, and measurement methods aimed at disturbances detection are proposed. A first aspect, investigated throughout laboratory tests, concerns the effects of poor power quality on measurement instrumentation. Susceptibility studies have been carried out considering the disturbances referred into standard CEI EN 50160. Controlled power quality disturbances have been injected in instrumentation and both reliability and accuracy issues have been checked in the test. A second aspect taken into account is that related to the instrumen
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Kuan, Yu-ching, and 關羽慶. "Classification of Power Quality Disturbances Using Dynamic Time Warping and Particle Swarm Optimization." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/86315406144823615319.

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碩士<br>國立雲林科技大學<br>電機工程系碩士班<br>93<br>Power system confronts power quality disturbances that are hard to avoid. Before assembling a protective device or finding a way of improvement, first the disturbance types need to be identified. Then, we can know what disturbances belong and why power system hitches. And we can get better power quality. This paper presents two approaches based on dynamic time warping and particle swarm optimization for classification of power quality disturbances. The first approach is based on heuristic rules and dynamic time warping for classification of power quality dis
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Chen, Cheng-I., and 陳正一. "Evaluation and Improvement of Signal Processing Techniques for Measurement of Power Quality Disturbances." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/74719997168502201637.

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博士<br>國立中正大學<br>電機工程所<br>97<br>With the widespread use of nonlinear loads in the power system, the power quality disturbances are increasingly present. These disturbances may introduce operational problems of power system equipments. Therefore, improving the power quality has become a great concern for both utilities and their customers. The frequency-domain methods have been widely used for the signal processing because of its computational efficiency. In addition, most power meters adopt the FFT-based algorithms to analyze the power signals. However, the FFT-based algorithms are less accurat
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Rentala, D. B., and M. Das. "A Novel method to Detect and Evaluate Power Quality disturbances using Hilbert Phase Shifting and CORDIC Algorithm." Thesis, 2014. http://ethesis.nitrkl.ac.in/5520/1/110EE0645-11.pdf.

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Power Quality (PQ) is an umbrella term that encompasses all the aspects connected with amplitude, phase and frequency of the voltage and current waveforms existing in a power circuit. Adverse Power quality environments refer to the transient conditions developing in the power circuit and eventually affecting the load and the source. Power Quality Monitoring refers to the task of detecting the disturbances in the system which leads to the deterioration of the Power Quality and the immediate execution of measures to compensate the same. The various disturbances that adversely affect the quality
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Swain, Sudarshan. "Grid Synchronization Control Schemes for a Three Phase Grid connected Photovoltaic System with Power Quality Disturbances." Thesis, 2019. http://ethesis.nitrkl.ac.in/10052/1/2019_PhD-SSudarshan_514EE1010_Grid.pdf.

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Synchronizing PV system with grid encounters a number of control challenges for maintaining the grid codes. These include various power quality problems such as voltage and current harmonics, voltage sag and swell, and grid frequency fluctuation. In this thesis it is intended to design suitable grid synchronization control scheme for a three-phase single stage grid connected PV system (TPSSGCPVS) considering power quality disturbances. The proposed control schemes are implemented both by simulation in MATLAB/Simulink followed by experimentation on a prototype TPSSGCPVS developed in the laborat
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Kuan, Chien-Hsun, and 管建勛. "Feature Selection for Identification and Classification of Power Quality Disturbances Based on Particle Glowworm Swarm Optimization (PGSO) Algorithm." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/38aw24.

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碩士<br>中原大學<br>電機工程研究所<br>103<br>This study proposes an optimization feature selection scheme, which combines a glowworm swarm optimization (GSO) algorithm with a particle swarm optimization (PSO), namely particle glowworm swarm optimization (PGSO). The proposed PGSO-based scheme optimizes the smoothing parameters of LOOCV of probabilistic neural network (PNN). The least influenced features, rarely degrading the cross-validation accuracy, are removed from the candidate features by using the optimal smoothing parameters to reconstruct the optimal feature vectors set. This paper illustrates time-
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Ringrose, MJ. "Studies of power quality : disturbance recognition." Thesis, 2003. https://eprints.utas.edu.au/11455/1/Ringrose_whole_thesis.pdf.

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Power quality is becoming increasingly important in power systems. The proliferation of modem power electronic devices has both decreased the quality of power on the electric grid and increased the equipment's sensitivity to power quality disturbances. In order to maintain an acceptable level of power quality in a power system, power quality monitoring devices have been designed. These devices are purchased by power utilities and customers in increasing numbers for the purpose of power quality trend logging and power quality disturbance capturing. Many power quality monitors will provide some
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Panda, Swastik Sovan. "Power Quality Disturbance Detection and Classification." Thesis, 2016. http://ethesis.nitrkl.ac.in/8274/1/2016_BT_112EE0247_Power_Quality.pdf.

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Power quality (PQ) monitoring is an essential service that many utilities perform for their industrial and larger commercial customers. Detecting and classifying the different electrical disturbances which can cause PQ problems is a difficult task that requires a high level of engineering knowledge. The vast majority of the disturbances are non-stationary and transitory in nature subsequently it requires advanced instruments and procedures for the examination of PQ disturbances. In this work a hybrid procedure is utilized for describing PQ disturbances
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Wang, Jen-Shuan, and 王仁舜. "Design the Chip for Classifying Power Quality Disturbance." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/13696311961748313383.

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碩士<br>淡江大學<br>電機工程學系<br>92<br>Power quality (PQ) is recognized as an essential feature of a successful electric power system mainly due to the rapid increase of loads which generate noise and, at the same time, are sensitive to the noise present in the supply system. Existing techniques for recognizing and identifying power quality disturbance waveforms are primarily based on visual inspection of the waveform. It is the purpose of this study to bring to bear a recent advance method based on the artificial neural network to the problem of automatic power quality disturbance waveform classificat
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Yao-Hui, Nien, and 粘遙輝. "Power Quality Disturbance Waveform Recognition Using Neural Network." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/74303057801787422778.

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碩士<br>淡江大學<br>電機工程學系<br>90<br>In recent years, because of rapid development of the high-tech industries, the limits on the specification higher power quality is strict. However, to improve the power quality, the import thing is to collect the information regarding to power quality events for analysis their properties. Therefore, enhancing the power quality analysis technique is one of the most important tasks in the power industry. This thesis utilized the import neural network technique to implement a PQ disturbance classifier. The PQ disturbance classifier is based on the Learning Vector Q
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47

Sarkar, S. "Power quality disturbance detection and classification using signal processing and soft computing techniques." Thesis, 2014. http://ethesis.nitrkl.ac.in/6149/1/E-66.pdf.

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The quality of electric power and disturbances occurred in power signal has become a major issue among the electric power suppliers and customers. For improving the power quality continuous monitoring of power is needed which is being delivered at customer’s sites. Therefore, detection of PQ disturbances, and proper classification of PQD is highly desirable. The detection and classification of the PQD in distribution systems are important tasks for protection of power distributed network. Most of the disturbances are non-stationary and transitory in nature hence it requires advanced tools and
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Chen, Shih-Wei, та 陳世偉. "Power Quality Disturbance Recognition using Hidden Markov Models and SOFM Network withＫ-Means Algorithm". Thesis, 2007. http://ndltd.ncl.edu.tw/handle/75364705610335374653.

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碩士<br>國立雲林科技大學<br>電機工程系碩士班<br>95<br>Because of widespread use of the sensitive electronic products, the requirements of power quality will be further emphasized. In order to know the reasons of occurrence for power quality disturbances, we need to get the signals of voltage/current disturbances that can be used to recognize what kind of disturbance event happen. Therefore, identification and recognition of voltage and current disturbances in power system is an important task in power system monitoring. This paper presents two approaches based on hidden Markov models and SOFM network withＫ-Mean
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Paracha, Zahir Javed. "Design and development of intelligent computational techniques for power quality data monitoring and management." Thesis, 2011. https://vuir.vu.edu.au/19381/.

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The most important requirement of power system operations is sustained availability and quality supply of electric power. In Electrical Power Distribution System (EPDS), non-linear loads are the main cause of power quality (PQ) degradation. The PQ problems generated by these non-linear loads are complex and diversified in nature. The power system which is not capable to handle non-linear loads faces the problem of voltage unbalance, sag, swell, momentary or temporary interruption and ultimately complete outage of EPDS. The PQ problems have motivated power system engineers to design and develop
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