Small-signal stability assessment for large power systems using computational intelligence

Teeuwsen, S.P.; Erlich, I.; El-Sharkawi, M.A.

doi:10.1109/pes.2005.1489375

Cited by 20 publications

(36 citation statements)

References 12 publications

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“…This affects the learning capability of the ANN. Therefore, feature reduction techniques should be applied to reduce dimensionality of input features by linear or nonlinear combinations [9]. Some other additional inputs can be also given to the ANN to enhance the estimation accuracy.…”

Section: The Proposed Methodsmentioning

confidence: 99%

“…The vector x contains control variables listed in (4)- (6) where (4) is treated as continuous variables and (5) to (6) are treated as discrete variables. The superscripts min and max in (5) to (9) represent minimum and maximum limits of the respective quantities. In (10) based on the input shown in (3), the VSM is determined by the FFNN developed in section IV and it has to be maintained to be greater than the required level VSM limit .…”

Section: Ann For Vsm Estimationmentioning

confidence: 99%

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A hybrid method for voltage stability constrained optimal reactive power dispatch

Nakawiro

Erlich

2010

IEEE PES General Meeting

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This paper presents a hybrid method for solving voltage stability constrained optimal reactive power dispatch (VSCORPD) problem. The objective of VSCOPRD is to minimize the energy loss at the current time interval and the cost of adjusting discrete control devices while maintaining system security and voltage stability constraints within the permissible limits. An artificial neural network is trained to approximate the voltage stability margin during the optimization process. A modified ant colony optimization is used to solve the VSCORPD. The numerical results have demonstrated that the proposed method can effectively reduce energy losses, avoid excessive control device adjustments and simultaneously prevent the voltage collapse problem.Index Terms-Artificial neural network, ant colony optimization, reactive power dispatch, voltage stability, optimal power flow

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Section: The Proposed Methodsmentioning

confidence: 99%

Section: Ann For Vsm Estimationmentioning

confidence: 99%

A hybrid method for voltage stability constrained optimal reactive power dispatch

Nakawiro

Erlich

2010

IEEE PES General Meeting

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“…Un enfoque utiliza modelos y herramientas computacionales inteligentes (como redes neuronales artificiales) para estimar el riesgo oscilatorio del SEP [10], mientras que una alternativa, con mayor robustez por sus facilidades de aplicación propone el uso de mediciones sincrofasoriales y su consiguiente procesamiento a través de algoritmos de identificación modal [9].…”

Section: Estabilidad Oscilatoriaunclassified

Implementación de un sistema de monitoreo de área extendida WAMS en el Sistema Nacional Interconectado del Ecuador SNI

Torre

Cepeda

Herrera

2013

ings

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En el presente trabajo se describen los principales componentes del sistema WAMS y la medición fasorial en sistemas eléctricos; se refieren criterios para la ubicación de PMU y elementos asociados en el sistema eléctrico. Posteriormente se hace una descripción del sistema WAMS instalado en el sistema eléctrico de Ecuador y se describen las características funcionales de la aplicación (software) de WAMS disponible en el Centro Nacional de Control de Energía -CENACE. Seguidamente se aplican los conceptos de ingeniería en el análisis de la información obtenida con el sistema WAMS instalado, presentándose los primeros resultados. Finalmente, y con base a los análisis realizados, se establecen los principales elementos de diseño y estrategias para la implementación de un sistema WAMS generalizado en el Sistema Nacional Interconectado -SNI del Ecuador. This paper describes the WAMS architecture and its main components, and depicts some criteria for the location of the elements of WAMS. Subsequently, a description of the application (software) of WAMS available at Centro Nacional de Control de Energía-CENACE, is carried out. A technical analysis of the information obtained from the installed WAMS, as well as a presentation of the first results of the implementation of WAMS in the SNI of Ecuador, are also deployed in this document. Finally, based on the analysis performed, major design elements and strategies for implementation of a generalized WAMS in the SNI of Ecuador are identified.Palabras clave: Concentrador de datos fasoriales, estabilidad oscilatoria, fasor, modos de oscilación, sincrofasor, sistema de monitoreo de área extendida, unidad de medición fasorial.

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“…By gaining a better understanding of these interactions and their non-linear effects, it is possible to develop more robust knowledge of the dynamics and hence make more informed choices in addressing any instabilities. Studies in [3] and [5] suggest a number of ways to deal with the oscillation source location problem. In the former, variable selection and linear regression was used as a means to predict mode damping ratio, with the corresponding regression coefficient being used to determine the most significant predictors i.e.…”

Section: Introductionmentioning

confidence: 99%

“…generators, in the model. In [5], the author presented a number methods that were used to predict damping which included neural networks and decision trees. In this work, a statistical approach combined with state space mining technique is used to determine the causes of poor damping.…”

Section: Introductionmentioning

confidence: 99%

Oscillation source location in power systems using logic regression

McNabb

Bochkina

Białek

2010

2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)

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Various attempts at solving the oscillation source location problem have been detailed in the literature[1][2][3] and each has had their own shortcomings. The dynamic behaviour of a power system is such that periods of instability may arise that are not solely due to large generators sitting beside each other in large plants. While these large machines operating at near full capacity certainly have an effect on modes in the system, the trigger may be something more inconspicuous like a smaller generator or load, or group thereof, that can produce instability in a number of system modes. The use of real-time continuous dynamics monitoring often indicates dynamic behaviour that was not anticipated by the modelbased studies. In such cases it can be difficult to track down the sources of problems using conventional tools. This paper details the possibility of diagnosing the causes of problems related to oscillatory stability using measurement-based techniques, with measurements derived from dynamic power system models. A dynamic model based on a real system is used to simulate periods of instability, so that the methodology can be applied to the data to determine the interaction of significant variables that contribute to poor mode damping. To this end, the discrete wavelet transform is used in conjunction with general linear models and logic regression to fit the model data and to predict the system response with minimum statistical deviance. This measurement-based modelling technique could then be used in real time with real system variables to determine the best course of action to rectify a range of dynamics problems.

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Small-signal stability assessment for large power systems using computational intelligence

Cited by 20 publications

References 12 publications

A hybrid method for voltage stability constrained optimal reactive power dispatch

A hybrid method for voltage stability constrained optimal reactive power dispatch

Implementación de un sistema de monitoreo de área extendida WAMS en el Sistema Nacional Interconectado del Ecuador SNI

Oscillation source location in power systems using logic regression

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