Definition and Classification of Power System Stability IEEE/CIGRE Joint Task Force on Stability Terms and Definitions

Kundur, P.; Paserba, John; Ajjarapu, V.; Andersson, Göran; Bose, Anil K.; Cañizares, Claudio A.; Hatziargyriou, N.; Hill, David J.; Stanković, A.M.; Taylor, C.W.; Cutsem, Thierry Van; Vittal, Vijay

doi:10.1109/tpwrs.2004.825981

Cited by 2,643 publications

(164 citation statements)

References 48 publications

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“…In case of cogeneration facility, reference values for governor and AVR are generated in master control unit, which contains functions for protection and synchronous generator synchronization to the electrical grid. The power system stability definition and classification in accordance with new technologies and controls, as well as with the operation in highly stressed conditions is explained in [16]. The simplest way to test facility stability is to model one facility containing synchronous generator connected to the infinite bus.…”

Section: Biogas Plant Modellingmentioning

confidence: 99%

Small Biogas Plant Stability Prediction Model

2018

Teh. vjesn.

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Abstract:In this paper stability prediction for a small biogas plant in islanded mode depending on local consumers energy consumption growth is given. Biogas plant with two cogeneration facilities and local consumers is tested for on grid and islanded operation and thus represents a microgrid. Generator and regulator modelling as well as surrounding electrical grid modelling in software package Power World Simulator are described. Expected consumption growth through the period of 20 years in microgrid area is simulated. All generator important variables, i.e. voltage, frequency, real and reactive power in case of islanded mode are examined and explained. Finally, stability prediction analysis of biogas plant and surrounding consumers for 20 years period is given.

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Section: Biogas Plant Modellingmentioning

confidence: 99%

Small Biogas Plant Stability Prediction Model

2018

Teh. vjesn.

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“…Según la referencia [18], en los estudios de estabilidad de tensión de largo plazo, un colapso de tensión puede ocurrir a partir del incremento constante de la carga y seguido de un agotamiento en las reservas de potencia reactiva. Una consecuencia sería la pérdida del control de la tensión o la salida de equipos por acción de sistemas de protección.…”

Section: Reservas De Potencia Reactiva De Generadoresunclassified

“…Esta evolución, graficada en despliegues basados en la teoría de la Conciencia Situacional (SA), permitiría que los operadores ejercieran acciones más acordes con las reservas de potencia reactiva, es decir, no se permitirían excesos de confianza ante la sensación de tenerse un buen respaldo de la tensión debido a que aún se tienen reservas de reactivos, cuando en realidad la situación está en camino al colapso. Obviamente, este alcance tiene que ver con el escenario de estabilidad de tensión de largo plazo [18].…”

Section: Sistemaunclassified

Indicadores estáticos normalizados para estabilidad de tensión basados en reservas de potencia reactiva y en márgenes de cargabilidad

González

Cardona

Isaac

et al. 2015

Ingeniare. Rev. chil. ing.

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“…Voltage stability is closely related to the notion of maximum load ability of a transmission network. Merited by voltage stability characteristics (10 sec to a few minute's ranges of time periods) (Kundur et al, 2004), voltage stability of a stressed power system should be supervised in real-time to authorize suitable control measures effort in a timely manner. Apart from that, voltage instability, perhaps leads to voltage collapse in the system or subsystem.…”

Section: Voltage Stability Assessmentmentioning

confidence: 99%

Comparative Study of Different Kalman Filter Implementations in Power System Stability

Goh¹

2014

American Journal of Applied Sciences

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Voltage stability and voltage collapse issues have in recent years begun to constitute an unpleasant warning to the operational security of power systems. Many techniques have been investigated in order to predict the point of voltage collapse. However, there are still several restrictions due to the insufficiency of current system state information. Accompanied by the commencement of the Phasor Measurement Units (PMUs) evolving technology, it donates a solution to enhance the existing power system state estimation. In consequence, the significances to develop preferable methods that would provide a preliminary warning before the voltage collapse had grabbed the attention. This study covers the forming of real-time system monitoring methods that able to provide a timely warning in the power system. The algorithms used to estimate the points of collapse are according to the theory that voltage instability is approximately linked to the maximum load ability of a transmission network. As a result, the critical operating conditions (peak of maximum deliverable power) come when the system Thevenin impedance is equal to the load impedance. This study focuses specifically on research about the motivation and the application of different Kalman filter implementations such as Discrete Kalman Filter (DKF), Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) are used to track the Thevenin parameters. Therefore, the implications of this research paper are to determine the robustness and reliability of the proposed tracking methods. As compared to previous studies, the tracking process is just mainly focused on DKF method only, while the novelty throughout this study is to compare the performances and efficiencies of different Kalman filters in determining the maximum load ability on the 2 different types of test systems. Accompanying, the parameters are utilized in real-time voltage instability estimator to discover the current system's condition. In this study, the effectiveness of the proposed algorithms is assessed under a large number of random operating conditions on the Malaysia's power system 132 kV, 2-bus and 10-bus systems. Eventually, the results are differentiated by using the early-warning index of voltage collapse. All through the test cases, EKF method shows the best ability to track the Thevenin parameters as compared to DKF and UKF. Last but not least, the earlywarning index acted as a pioneer implication in estimating the maximum load power ability of the power system right before load shedding methods are being executed.

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Definition and Classification of Power System Stability IEEE/CIGRE Joint Task Force on Stability Terms and Definitions

Cited by 2,643 publications

References 48 publications

Small Biogas Plant Stability Prediction Model

Small Biogas Plant Stability Prediction Model

Indicadores estáticos normalizados para estabilidad de tensión basados en reservas de potencia reactiva y en márgenes de cargabilidad

Comparative Study of Different Kalman Filter Implementations in Power System Stability

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