Dissertations / Theses on the topic 'Stator short circuit faults'

Stator inter-turn short circuit (ITSC) faults are one of the common sources for induction machine failure affecting their reliable operation. In this thesis, a finite element (FE) model is developed to study the ITSC fault. The FE model is developed for a prototype induction machine that has the potential to emulate an ITSC fault in the stator. With the developed FE model of the prototype machine, a simulation study is performed to understand the behaviour of various electrical and magnetic quantities in time- and frequency-domain. The investigated quantities are potentially good signatures of the stator winding faults and they are therefore suitable to use in a condition monitoring system. The prototype machine with ITSC faults has been tested in an experimental setup and the results are compared to the simulation and also to analytical results. For the fault current it was found a good agreement between analytical results, FE simulations and experimental results. Moreover, the FE simulation results of the negative-sequence stator current amplitude present a minor mismatch with the analytical and experimental results. The reason for this mismatch is due to an inaccurate knowledge of the prototype machine geometrical parameters.
Kortslutning mellan varven i en asynkronmotors statorlindning (ITSC) är en av de vanligaste källorna för fel som påverkar dess drifttillförlitlighet. I detta examensarbete utvecklas en finit-element (FE) modell för att studera ITSC- fel. FE-modellen är utvecklad för en asynkronmotorprototyp som kan emulera ITSC-fel. Med den utvecklade modellen utförs en simuleringsstudie för att förstå beteendet hos olika elektriska och magnetiska egenskaper både i tids- och frekvensdomän. Dessa egenskaper är goda indikatorer av statorlindningsfel och kan därför med fördel användas i ett tillståndsövervakningssystem. Prototypmaskinen har testats experimentellt och de erhållna resultaten jämförs med FE-simuleringen och analysresultaten. Det analytiska resultatet, FEM- simuleringarna och den experimentella utvärderingen uppvisade god överrensstämmelse vad gäller felströmmen. Dock finns det en mindre avvikelse när det gäller amplituden hos statorströmmens negativa fasföljd. Orsaken till denna avvikelse är att prototypmaskinens geometri inte är helt känd.

An estimated 30% of the faults in Induction Machine (IM) are related to its stator. These faults are mostly in the form of an Inter-Turn Short Circuit (ITSC) fault i.e., when two winding inside the stator of IM are shorted due to insulation failure. However, ITSC fault can be avoided by detecting them in advance and then scheduling the maintenance of the IM. This thesis studies two methods for detecting this incipient ITSC fault in a three-phase IM and then estimating the stator resistance unbalance due to the ITSC fault. The first method is based on the asymmetry caused in the IM by the ITSC fault. As a result of this asymmetry, the negative sequence components of the stator voltages and the stator currents are generated inside the IM. A healthy IM also have these negative sequence components due to the manufacturing process and the supply voltage unbalances. The characteristics and the compensation methods of these negative sequence components in a healthy IM are discussed. The results show that after compensating the negative sequence components in a healthy machine, they can be used for detecting an ITSC fault and then to calculate the fault quantities as well as the stator resistance unbalances. The second method for detecting an ITSC fault is based on analysing the stator resistance unbalances. A three-phase drive is used to inject DC voltage in the stationary reference frame. The DC current generated by this DC voltage is measured and then by applying Ohm’s law stator phase resistances are calculated. In a healthy IM, the phase resistances are balanced. However, in case of ITSC fault in any of the phases, the phase resistance of that phase deviates from those of the other two phases which can be utilized for detecting ITSC fault.
Uppskattningsvis 30% av alla fel i induktionsmaskiner (IM) är kopplad till dess stator. Dessa fel är i huvudsak Inter-Turn Short Circuit (ITSC)-fel, dvs. två lindningar inom IM:ens stator blir kortsluta pga. ett isoleringsfel. Emellertid kan man undvika ITSC-fel genom att detektera dem i förhand och planera underhåll. Det här examensarbetet undersöker två metoder för att detektera ett förestående ITSC-fel i en tre-fas IM. Den första metoden är baserad på asymmetrin i IM:er pga. ITSC-felet. Resultatet av den här asymmetrin är att en negativ sekvens genereras i IM:ens statorspänning och statorström. En oskadad IM kan också visa dessa negativa sekvenser pga. tillverksprocessen och statorspänningsobalanser. Egenskaperna och kompensationsmetoderna för dessa negativa sekvenser i en oskadad IM kommer att diskuteras. Resultaten visar att efter kompenseringen av de negativa sekvenserna i en oskadad IM, kan de användas för att detektera ITSC-fel och efteråt för att beräkna felstorheter och även statormotståndobalanser. Den andra metoden för att detektera ITSC-fel är baserad på en undersökning av statormotståndobalanser. Ett tre-fas-drivsystem används för att injektera likspänning i den stationära referensramen. Likströmmen som följer av denna likspänning mäts och statorfasmotstånden beräkna efteråt med Ohms lag. I en oskadad IM är fasmotstånden balanserade. Däremot, när ett ITSC-fel uppstår i en fas, avviker fasmotståndet i den felaktiga fasen från de andra två fasernas, vilket kan användas för att detektera ITSC-fel.

Devant la forte demande mondiale en énergie électrique, les alternateurs à diodes tournantes constituent une solution largement répandue dans les installations de génération d’électricité de fortes puissances (hydraulique, fossile et éolien) ainsi que dans les applications îlotées sous forme de groupes électrogènes ou de petits alternateurs intégrés dans les systèmes embarqués. La renommée de ce type d’alternateur s’est construite sur leurs robustes constitutions mécanique et électrique et sur leur parfaite adaptabilité au type de charge alimentée. Néanmoins, l’utilisation de ces machines dans des conditions de fonctionnement très contraignantes, que cela soit à cause des fortes puissances demandées par les applications industrielles ou des contraintes environnementales dans lesquelles travaillent les alternateurs isolés, engendre une recrudescence de défauts, principalement de types électriques, à l’intérieur du système. L’apparition de ces défaillances est extrêmement délétère pour des applications à haut niveau de service et dont un arrêt intempestif peut engendrer des coûts de maintenance et d’immobilisation très élevés pour les opérateurs. Devant la nécessité de planifier de façon optimisée les opérations de maintenance à effectuer sur les alternateurs, il est possible de mettre en place des stratégies de diagnostic qui surveillent l’apparition des principales défaillances susceptibles de toucher ce type de machine. Bien que les modifications imprévisibles du point de fonctionnement liées à la charge compliquent la tâche, il est envisageable de mettre en lumière la présence de défauts de court-circuit dans les bobinages ainsi que des défaillances de diodes dans le pont redresseur triphasé en étudiant les modifications des formes d’ondes des signaux électriques générés. Ce travail est décrit dans la présente thèse. Face au manque d’antécédents sur le sujet, une grande partie des recherches s’est focalisée sur la conception et la mise en place d’un modèle numérique d’alternateur à diodes tournantes représentatif des formes d’ondes réelles en régimes sain et défaillant, tache non triviale étant donné le caractère saillant des pôles de l’alternateur. Pour répondre à ces attentes, un processus original de co-simulation a été mis en place présentant une identification des inductances de l’alternateur sous Flux2D et une estimation numérique des équations différentielles du système sous Matlab. Cette modélisation fiable a par la suite permis une sélection d’indicateurs de diagnostic par analyse fréquentielle des signaux électriques qui sont capables, sans ajout de capteurs supplémentaires, d’informer l’utilisateur sur la présence de défauts à l’intérieur du système. Afin de s’assurer une bonne compréhension des phénomènes, un grand soin a été apporté à la justification théorique des modifications spectrales introduites par les défauts dans les signaux électriques. Une importante campagne d’essais expérimentaux a permis la validation des modèles sain et défaillant grâce à la réalisation, par la société Nidec Leroy- Somer, d’un alternateur capable de simuler des défauts de court-circuit inter-spires stator. Ces essais ont mis au jour la possibilité de détecter les défauts dans de nombreuses configurations de court-circuit, mais également la difficulté de les prévoir de façon anticipée, ouvrant par là même de nombreuses perspectives de recherche.

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This dissertation reports applications of artificial neural networks to detect stator winding interturn fault of three phase induction motor drived by frequency inverter. The artificial neural networks, like Simple and Multilayer Perceptron, served as off-line classifiers to short-circuit fault condition or healthy condition. In the training of Multilayer Perceptron, two different algorithms are used: the error back-propagation, which is a classic algorithm, and the extreme learning machine, as a relative new alternative for the classic back-propagation. The new one is more worthwhile because of its implementation easiness and higher speed of computation. The database used on the training and validation of the networks is created from an experimental setting, therefore it is composed by true data. The attributes used as failuresâ indicators are selected from certain frequencies of the spectrum, based on some theories of current signature analysis. In the second instance, the technique of principal components analysis is employed. The results obtained for the designed classifiers are shown, and some considerations are made on their use in real time embedded applications, which is the most important projection for future researches.
Este trabalho deriva da aplicaÃÃo de redes neurais artificiais para a detecÃÃo de curto-circuito entre espiras em motor de induÃÃo trifÃsico, acionado por inversor de frequÃncia. As redes neurais artificiais, do tipo Perceptron Simples e Multicamadas, sÃo usadas para detectar falhas de curto-circuito no bobinamento estatÃrico de motores de induÃÃo trifÃsicos de forma off-line. Para treinamento do Perceptron Multicamadas sÃo usados dois algoritmos distintos: o error back-propagation, que figura como o algoritmo clÃssico na literatura especializada, e o extreme learning machine, que à uma alternativa, relativamente recente, ao algoritmo clÃssico. Este algoritmo à uma opÃÃo atraente para o desenvolvimento rÃpido de classificadores. O banco de dados usado para treinamento e validaÃÃo das redes à obtido a partir de experimentaÃÃo laboratorial, portanto composto de dados reais. Os atributos utilizados para a detecÃÃo da falha sÃo componentes de frequÃncia do espectro harmÃnico da corrente estatÃrica do motor. O critÃrio de escolha destas componentes, a priori, à fundamentado em resultados de investigaÃÃes prÃvias da assinatura de corrente e, em segunda instÃncia, à aplicada a tÃcnica de anÃlise de componentes principais. SÃo apresentados os resultados obtidospelos classificadores projetados, e feitas algumas consideraÃÃes quanto à utilizaÃÃo destes em aplicaÃÃo embarcada e em tempo real, que à a principal projeÃÃo de futuros trabalhos a partir do atual.

Orientador: Jozué Vieira Filho
Banca: Anna Diva Plasencia Lotufo
Banca: Marco Aparecido Queiroz Duarte
Resumo: Este trabalho apresenta uma metodologia para detecção e classificação de faltas do tipo curto-circuito. Esta operação de diagnóstico tem como principal operador um banco de redes neurais artificiais (RNAs) do tipo ARTMAP Nebulosa. Tal ferramenta segue a principal filosofia das RNAs: o reconhecimento de padrões, através de um trei- namento supervisionado inicial, responsável por atualizar os parâmetros das redes con- comitantemente com os resultados desejados. Finalizada a fase de adaptação, as redes serão capazes de, após receber novos padrões, classificá-los, de forma a propiciar, ao operador, informações importantes quanto ao estado de transmissão de barras presentes em um determinado complexo elétrico. Aqui, tomou-se como modelo a simulação de um grande alimentador real, composto por mais de 800 barras. Aliados às RNAs, tam- bém foram aplicadas, no que se refere à análise de dados amostrados de corrente elétri- ca, duas importantes e flexíveis ferramentas matemáticas: a Transformada de Fourier e a Transformada Wavelet. .Observa-se, ao final do trabalho, que os resultados apresenta- dos são bastante encorajadores, o que possibilitaria a utilização do programa em um ambiente real
Abstract: This work presents a detection and classification of short-circuit faults metho- dology. The main operator of this diagnostic operation is a Fuzzy ARTMAP Artificial Neural Networks (ANN) bank. This tool follows the ANN's main core: pattern recogni- tion, through an initial supervised training stage, responsible for updating the parame- ters of the networks con-comitant with the desired results. Completed the adaptation phase, the network will be able to, after receiving new standards, classifying them in order to provide to the operator important information about the state of transmission of bars present in a given complex electric. Here, there is, like a model, a simulation of a real big feeder, comprising more than 800 bars. Besides the ANNs, two important and flexible mathematical tools were also applied with regard to the analysis of sampled data of electric current: Fourier Transform and Wavelet Transform. At the end of the work the results presented are very encouraging, which would allow the use of the pro- gram in a no simulations real environment
Mestre

Orientador: Carlos Roberto Minussi
Resumo: Esta pesquisa apresenta o desenvolvimento de uma ferramenta para a detecção e classificação de curtos-circuitos em sistemas de distribuição de energia elétrica, a qual é baseada no uso combinado da análise multirresolução e rede neural ARTMAP-fuzzy. A análise multirresolução permite a identificação de singularidades nas oscilografias e a rede da família ART garante ao sistema classificador a capacidade de aprendizado contínuo de novos padrões sem perder o conhecimento previamente adquirido. Todo o processo de diagnóstico é realizado em uma única etapa, reduzindo o custo computacional da metodologia. A eficiência do sistema é verificada por uma análise direta, na qual se contabiliza a quantidade total de acertos, e por uma avaliação comparativa, a qual envolve a substituição da rede ARTMAP-fuzzy pela rede ARTMAP-Euclideana. Resultados mostram que o sistema é eficiente, sendo capaz de detectar e classificar 100% das falhas elétricas.
Abstract: This research presents the development of a tool for the detection and classification of short circuits in electric power distribution systems, which is based on the combined use of multi-resolution analysis and fuzzy ARTMAP neural network. The multiresolution analysis allows the identification of singularities in the oscillographs and the ART family network guarantees to the classifier the ability to continuously learn new patterns without losing the previously acquired knowledge. The entire diagnostic process is performed in a single step, reducing the computational effort. The efficiency of the system is verified by a direct analysis, in which the total number of hits is counted, and by a comparative evaluation, which involves the replacement of the fuzzy ARTMAP network by the Euclidean ARTMAP network. Results show that the system is efficient, being able to detect and classify 100% of the electrical faults.
Mestre

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Este trabalho apresenta uma metodologia para detecção e classificação de faltas do tipo curto-circuito. Esta operação de diagnóstico tem como principal operador um banco de redes neurais artificiais (RNAs) do tipo ARTMAP Nebulosa. Tal ferramenta segue a principal filosofia das RNAs: o reconhecimento de padrões, através de um trei- namento supervisionado inicial, responsável por atualizar os parâmetros das redes con- comitantemente com os resultados desejados. Finalizada a fase de adaptação, as redes serão capazes de, após receber novos padrões, classificá-los, de forma a propiciar, ao operador, informações importantes quanto ao estado de transmissão de barras presentes em um determinado complexo elétrico. Aqui, tomou-se como modelo a simulação de um grande alimentador real, composto por mais de 800 barras. Aliados às RNAs, tam- bém foram aplicadas, no que se refere à análise de dados amostrados de corrente elétri- ca, duas importantes e flexíveis ferramentas matemáticas: a Transformada de Fourier e a Transformada Wavelet. .Observa-se, ao final do trabalho, que os resultados apresenta- dos são bastante encorajadores, o que possibilitaria a utilização do programa em um ambiente real
This work presents a detection and classification of short-circuit faults metho- dology. The main operator of this diagnostic operation is a Fuzzy ARTMAP Artificial Neural Networks (ANN) bank. This tool follows the ANN’s main core: pattern recogni- tion, through an initial supervised training stage, responsible for updating the parame- ters of the networks con-comitant with the desired results. Completed the adaptation phase, the network will be able to, after receiving new standards, classifying them in order to provide to the operator important information about the state of transmission of bars present in a given complex electric. Here, there is, like a model, a simulation of a real big feeder, comprising more than 800 bars. Besides the ANNs, two important and flexible mathematical tools were also applied with regard to the analysis of sampled data of electric current: Fourier Transform and Wavelet Transform. At the end of the work the results presented are very encouraging, which would allow the use of the pro- gram in a no simulations real environment

Permanent magnet synchronous machine drives are used more often. Although, synchronous machines drive also suffer from possible faults. This thesis is focused on the detection of the three-phase synchronous motor winding faults and the detection of the drive control loop sensors' faults. Firstly, a model of the faulty winding of the motor is presented. Effects of the inter-turn short fault were analyzed. The model was experimentally verified by fault emulation on the test bench with an industrial synchronous motor. Inter-turn short fault detection algorithms are summarized. Three existing conventional winding fault methods based on signal processing of the stator voltage and stator current residuals were verified. Three new winding fault detection methods were developed by the author. These methods use a modified motor model and the extended Kalman filter state estimator. Practical implementation of the algorithms on a microcontroller is described and experimental results show the performance of the presented algorithms in different scenarios on test bench measurements. Highly related motor control loop sensors fault detection algorithms are also described. These algorithms are complementary to winding fault algorithms. The decision mechanism integrates outputs of sensor and winding fault detection algorithms and provides an overall drive fault diagnosis concept.

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This work focuses on the modeling of single-phase and three-phase distribution with earth return, for high impedance faults analysis. The main motivation is the lack of definitive solutions for such faults. These faults often occur when an overhead conductor breaks and falls on high impedance surface such as asphalt road, cement, trees, among others. That fault is analyzed in a Single wire earth return system - SWER, and in a rural three-phase feeder. The SWER is deduced starting from a generic three-phase system, where simplifications based on practical assumptions are added. Simulations are accomplished in two distribution test systems, with the objective of identifying the behavior pattern of the high impedance faults. It is also included a discussion and analysis of results and suggestions related to future works.
Este trabalho focaliza a modelagem das redes de distribuição monofásicas e trifásicas com retorno por terra, para análise das faltas de alta impedância. A motivação principal está no fato de não existirem soluções definitivas para essas faltas. Este tipo de falta ocorre quando um cabo energizado rompe e cai sobre um tipo de superfície, tal como asfalto, areia, árvores, dentre outros. Essa falta é analisada em uma rede Monofásica com Retorno por Terra MRT em uma rede trifásica rural. A rede MRT é deduzida a partir de uma rede trifásica genérica, onde são adicionadas hipóteses simplificadoras práticas. São realizadas simulações em dois sistemas testes de distribuição, com o objetivo de identificar o padrão de comportamento das faltas de alta impedância. É realizada uma discussão e análise de resultados, sugerindo-se trabalhos futuros.

In this project, two kinds of induction motor faults, stator short circuit fault and broken rotor bar fault, are investigated by using motor current signature analysis (MCSA) and zero crossing time (ZCT) method. These methods are based on the detection of sidebands around the supply frequency in the stator current signal. The thesis starts by a review of these two common faults and two commonly used diagnostic methods. Before the motor stator short circuit faults experiments, baseline analysis is carried out on two same types of healthy motors. Meanwhile, signal processing programs, composed in MATLAB and LABVIEW, are verified to ensure the accurate diagnosis of motor faults. Through a control box, artificial turn to turn fault and phase to phase fault are structured in each test. MCSA and ZCT are utilized to extract broken rotor bar information from recorded stator current signal. Although an induction motor is highly symmetrical, it may still have a detectable signal component at the fault frequencies due to imperfect manufacture, improper motor installation and so on. The misalignment experiments reveal that improper motor installation could lead to an unexpected frequency peak, which will affect motor fault diagnosis. Furthermore, manufacture tolerance and working environment could also result in disturbing the motor fault diagnosis. Through both online and offline experiments, MCSA and ZCT methods could detect particular abnormal harmonics related to stator short circuit fault and broken rotor bar fault. Compared with the conventional MCSA method, the ZCT method has the advantage of reduced computational burden.
Thesis (M.Eng.Sc.) -- University of Adelaide, School of Electrical and Electronic Engineering, 2010

碩士
國立臺灣大學
機械工程學研究所
106
This paper aims to investigate potential fault characteristics for Permanent Magnet Synchronous Motors (PMSM). The inverter switch short-circuit is the primary focus. When the inverter short-circuit fault occurs, considerable short-circuit currents are induced. They not only damage inverter devices, but also results in the demagnetization in PM motors. Two common inverter short-circuit faults are investigated. They are respectively Symmetric Short-Circuit (SSC) Fault and Asymmetric Short-Circuit (ASC) Fault. For SSC fault, an analytical model is developed for the faulty motor drive. The influence of fault reflected short-circuit currents on PM motors with different parameters are analyzed. It is shown that the short-circuit current can be suppressed by properly selecting the motor parameters. In addition for ASC fault, the fault reflected short-circuit currents are significantly higher than the currents under SSC fault. A hardware protection strategy based on the SSC operating mode is proposed to mitigate these dangerous short-circuit currents, avoiding the risks in PM motors once ASC fault occurs. All the analytical models will be verified by the inverter circuit simulation. In addition, Finite Element Analysis (FEA) is performed to investigate the demagnetization of PM motor under either SSC or ASC fault. Finally, two PM motors with different time constants are experimental evaluated to verity electromagnetic responses after fault.

Η παρούσα διδακτορική διατριβή πραγματεύεται τη λειτουργική συμπεριφορά μιας σύγχρονης μηχανής με έκτυπους πόλους κατά τη διάρκεια δύο ειδών σφαλμάτων, τα οποία παρουσιάζονται παρακάτω, για τις δύο συνθήκες σύνδεσης μίας σύγχρονης γεννήτριας με το δίκτυο. Ειδικότερα, μελετήθηκε η περίπτωση βραχυκυκλώματος στην τροφοδοσία του τυλίγματος διέγερσης της σύγχρονης μηχανής όταν είναι συνδεδεμένη σε ισχυρό δίκτυο και είτε ο αριθμός στροφών αυτής διατηρείται απόλυτα σταθερός, είτε ένας ελεγκτής τη συγκρατεί στο σύγχρονο αριθμό στροφών. Ακόμη διερευνήθηκε η περίπτωση εσωτερικού σφάλματος στο τύλιγμα του στάτη για τις δύο προαναφερθείσες περιπτώσεις. Υπολογίστηκαν και μελετήθηκαν η ηλεκτρομαγνητική ροπή και η μαγνητική επαγωγή κατά τη διάρκεια κάθε φαινομένου, καθώς επίσης τα ρεύματα σε δρομέα και στάτη συμπεριλαμβανομένων των ρευμάτων στον κλωβό απόσβεσης και του ρεύματος βραχυκύκλωσης σε τμήματα του τυλίγματος του στάτη. Αρχικά, περιγράφεται αναλυτικά ο τρόπος με τον οποίο μοντελοποιήθηκε η σύγχρονη γεννήτρια με έκτυπους πόλους, ενώ παράλληλα αναλύεται η μέθοδος με την οποία μοντελοποιήθηκαν τα σφάλματα σε στάτη και δρομέα και ο τρόπος με τον οποίο προσομοιώθηκε στο πρόγραμμα πεπερασμένων στοιχείων ο παραλληλισμός της μηχανής στο δίκτυο παροχής ηλεκτρικής ενέργειας. Στη συνέχεια, γίνεται αναφορά στον τρόπο με τον οποίο ορίζονται οι περιοχές του μοντέλου, οι εξισώσεις που επιλύει το πρόγραμμα πεπερασμένων στοιχείων για την εξαγωγή των αποτελεσμάτων, ο ορισμός των οριακών συνθηκών και τέλος περιγράφεται η εφαρμογή της μεθόδου πεπερασμένου στοιχείων που εφαρμόσθηκε στο συγκεκριμένο μοντέλο. Έπειτα προσομοιώθηκε η περίπτωση βραχυκυκλώματος στην τροφοδοσία του τυλίγματος διέγερσης, καθώς ο στάτης της σύγχρονης μηχανής είναι συνδεδεμένος σε ισχυρό δίκτυο με το δρομέα να στρέφεται με σταθερό αριθμό στροφών. Κατά τη διάρκεια του σφάλματος πραγματοποιείται λεπτομερής καταγραφή της μαγνητικής επαγωγής και της ηλεκτρομαγνητικής ροπής, καθώς και όλων των ρευμάτων στο τύλιγμα στάτη και δρομέα. Προκύπτουν χρήσιμα συμπεράσματα για τη συμπεριφορά της μηχανής σε όλη τη διάρκεια του σφάλματος και καταγράφονται τα ηλεκτρομαγνητικά μεγέθη και γίνεται αξιολόγηση της συμπεριφοράς της κατά τη διάρκεια αυτού του μεταβατικού φαινομένου. Ακόμη, εξετάζεται η ίδια περίπτωση σφάλματος στο τύλιγμα διέγερσης, αλλά ο αριθμός στροφών του δρομέα διατηρείται σταθερός μέσω ενός ελεγκτή στροφών. Παρατηρείται ότι η συμπεριφορά της μηχανής αλλά και όλα τα ηλεκτρομαγνητικά μεγέθη αυτής είναι τελείως διαφορετικά συγκρινόμενα με την προηγούμενη περίπτωση. Στη συνέχεια αυτής της διδακτορικής διατριβής εξετάζεται η συμπεριφορά της σύγχρονης μηχανής στην περίπτωση εσωτερικού βραχυκυκλώματος στο τύλιγμα του στάτη, καθώς είναι συνδεδεμένη σε ισχυρό δίκτυο με το δρομέα να στρέφεται με σταθερό αριθμό στροφών. Αναλυτικότερα, μελετώνται τα ρεύματα στο τύλιγμα του δρομέα καθώς και στο τύλιγμα του στάτη για βραχυκύκλωμα μεταξύ σπειρών που ανήκουν σε ίδια ή διαφορετική φάση. Υπολογίζεται το ρεύμα βραχυκύκλωσης και μελετάται ο τρόπος που επηρεάζει τα φασικά ρεύματα του στάτη τόσο ποσοτικά όσο και ποιοτικά. Επίσης, αναλύονται τα ρεύματα στον κλωβό απόσβεσης και μελετάται η συμπεριφορά τους κατά τη διάρκεια του βραχυκυκλώματος. Η εισαγωγή ελέγχου στροφών μεταβάλει τη συμπεριφορά της σύγχρονης γεννήτριας και υπολογίζονται αναλυτικά τα ηλεκτρομαγνητικά μεγέθη της σύγχρονης μηχανής προκύπτοντας συμπεράσματα για τον τρόπο με τον οποίο το βραχυκυκλωμένο τύλιγμα επηρεάζει τα μεγέθη αυτά, ενώ παράλληλα καθορίζεται ο ρόλος που έχουν οι φάσεις που συμμετέχουν στο βραχυκύκλωμα. Τέλος, γίνεται μια σύντομη σύγκριση για το πόσο επηρεάζει ο αριθμός σπειρών τη συμπεριφορά της σύγχρονης μηχανής στην περίπτωση σφάλματος στο στάτη κατά την περίπτωση κατά την οποία η μηχανή είναι συνδεδεμένη σε ισχυρό δίκτυο με σταθερό τον αριθμό στροφών του δρομέα. Πιο συγκεκριμένα, αναλύονται τα ρεύματα σε στάτη και δρομέα καθώς και η ηλεκτρομαγνητική ροπή, για τις περιπτώσεις που οι βραχυκυκλωμένες σπείρες ανήκουν στην ίδια και διαφορετική φάση αλλά με διαφορετικό αριθμό βραχυκυκλωμένων σπειρών για κάθε περίπτωση. Προκύπτει το συμπέρασμα ότι καθοριστικό ρόλο στη διαμόρφωση των ηλεκτρομαγνητικών μεγεθών κατά τη διάρκεια του σφάλματος έχει ο αριθμός των βραχυκυκλωμένων σπειρών, ανεξάρτητα από τον αριθμό των φάσεων που συμμετέχουν στο βραχυκύκλωμα.
This thesis deals with the functional behavior of a salient pole synchronous generator during two kinds of short-circuits. In particular, we studied the case of short circuit in the supply of the excitation winding of the synchronous machine when it is connected to an infinite bus and either the rotor speed was absolutely constant, or a simple PI- Controller maintained the synchronous speed equal to the synchronous. Additionally, the case of an internal fault in the stator winding for the two cases mentioned above was investigated. The electromagnetic torque and the magnetic flux density in each case were calculated and studied, as well as the stator and rotor currents, including the damper cage, and the short-circuit current in the faulty loop of the stator winding. Firstly, it is described in detail the way in which the salient pole synchronous generator was modeled and it is analyzed the method by which the faults are modeled in both stator and rotor and the way these faults were simulated, in the finite element program. Additionally, it is presented the way in how the areas of the model are defined, the equations that were solved through finite element software, in order to extract the results, the definition of the boundary conditions and finally it is described the finite element method, which was applied to this specific model. The case of a short circuit in the supply of the field winding while the stator of the synchronous machine is connected to the grid and the rotor speed is held constant and equal to the synchronous one, is examined. During this fault the magnetic flux, the electromagnetic torque and all the stator and rotor currents are measured in detail. Useful conclusions about the behavior of the machine throughout this kind of short-circuit were derived, all the electromagnetic magnitudes were recorded and an assessment of the generator behavior during this transient phenomenon is made. Similarly, the same type of fault is analyzed, but the speed of the rotor is maintained constant through a speed controller. It is observed that the behavior of the machine and all the electromagnetic magnitudes are quite different compared to the previous case. In this dissertation is examined the behavior of the hydrogenerator in the case of an inter-turn short circuit in the stator winding, while it is connected to the grid with a constant rotor speed. Specifically, it is examined the currents in the rotor and the stator winding for a short circuit between turns that belong to the same or to different phases. The short circuit current is calculated and it is presented the way that it affects quantitative and qualitative the stator phase currents. It is also analyzed the damper currents and it is studied their behavior during the short circuit. The speed controller alters the behavior of the synchronous generator and all the electromagnetic magnitudes of this machine are analytically calculated, resulting significant conclusions on how the faulty loop affects these quantities, while it is set out the role of the participating phases in this short-circuit. Finally, a brief comparison of the way that the number of the shorted turns affects the behavior of the simulated machine in the case of an inter-turn stator fault, while it is connected to the grid with a fixed number of the rotor revolutions. Specifically, it is analyzed the stator and rotor currents and the electromagnetic torque, for the cases that the short-circuited turns belong either to the same or to different phases, but with different number of shorted turns. It is concluded that a key role in determining the electromagnetic magnitudes during this fault has the number of the short-circuited turns and not the number of the phases that are involved in the short circuit.

碩士
國立臺灣海洋大學
機械與機電工程學系
102
Due to the serious impact of global warming on the climate, therefore the world for diversity and energy policy considerations safety aspects, of which wind power as a major new energy. Because of the random fluctuations in wind speed characteristics, when a fault happened, there are some stability problems will be occurred, such as the output power curve, voltage level, etc., of the wind turbine will be change at various wind speed. In this paper, we simulate wind farms due to a short circuit fault by MATLAB/SIMULINK, the effects of the system voltage sag. When the system occurs short circuit, there are four reactive power compensation devices, such as STATCOM, SVC, SSSC, and UPFC, to simulate the impact of the fault on output voltage, active power, and rotor speed, so that the transient state of the system can be quickly to the steady state, and improve the reliability and stability of the system.

Popularly used impedance-based methods need voltage and current waveform as well as line impedance per unit length to estimate distance to fault location. For a non-homogenous system with different line configuration, these methods assume that the system is homogenous and use the line impedance of the most frequently occurring line configuration. Load present in the system before fault is an important parameter which affects fault location accuracy. Impedance-based methods like Takagi and positive-sequence method assume that the load is lumped beyond the fault point which may not be true for a typical distribution system. As a result, accuracy of the impedance-based methods in estimating distance to fault is affected. Another short-coming of impedance-based methods are that they are unable to identify the branch in which the fault may be located. To minimize these errors, this thesis proposes a short-circuit fault current profile approach to complement impedance-based algorithms. In the short-circuit fault current profile approach, circuit model of the distribution feeder is used to place faults at every bus and the corresponding short-circuit fault current is plotted against reactance or distance to fault. When a fault occurs in the distribution feeder, fault current recorded by relay is extrapolated on the current profile to get location estimates. Since the circuit model is directly used in building the current profile, this approach takes into account load and non-uniform line impedance. Using the estimates from short-circuit fault current profile approach and impedance-based methods, the path on which the fault is located is identified. Next to improve fault location estimates, a median value of the estimates is computed. The median is a more robust estimate since it is not affected by outliers. The strategy developed above is tested using modified IEEE 34 Node Test Feeder and validated against field data provided by utilities. For the IEEE 34 Node Test Feeder, it is observed that the median estimate computed from impedance-based methods and the short-circuit fault current profile approach is very close to the actual fault location. Error in estimation is within 0.58 miles. It was also observed that if a 0.6 mile radius is built around the median estimate, the fault will lie within that range. Now the IEEE 34 Node Test Feeder represents a typical distribution feeder and has also been modeled to represent the worst case scenario, i.e. load current is around 51% of the fault current for the farthest bus. Hence the 0.6 mile radius around the median estimate will hold true for most distribution feeders and will be used when computing the fault range for field case events. For the field events, it was seen that the actual faults indeed lie within the 0.6 mile radius built around the median estimate and the path of the fault location has also been accurately estimated. For certain events, voltage waveform was not useful for analysis. In such situations, short-circuit fault current profile alone could be used to estimate fault location. Error in estimation is within 0.1 miles, provided the circuit model closely represents the distribution feeder.
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碩士
長庚大學
電機工程學研究所
96
This thesis aims to study the unbalanced voltage sags of a industrial distribution feeder due to unbalanced short circuit faults. First of all, a single source distribution feeder is used to illustrate the relation between the equipment impedances and unbalanced voltage sags with quantitative formulas by using symmetrical components method. Furthermore, the analysis of voltage sags is considered different types of load. Finally, the power system simulation programs, EMTP, is employed for simulations to verify the correction of formulas.