Predicting steady-state instability

Erwin, S.R.; Oatts, M.L.; Savulescu, S. C.

doi:10.1109/67.294163

Cited by 9 publications

(2 citation statements)

References 2 publications

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“…These functions are executed both in real-time and in study-mode. The solution technique is based on the methodology described in [4], [5], [8], [14], [15] and [21]. In a nutshell, the algorithm consist of alternating steady-state stability checks with "case worsening" calculations that stress the system from the base operating conditions towards a case where the determinant of the dynamic Jacobian becomes singular, thus indicating steady-state instability.…”

Section: B Implementation Of Real-time Stability Assessment and Monimentioning

confidence: 99%

LIPA implementation of real-time stability monitoring in a CIM compliant environment

Arnold

Hajagos

2009

2009 IEEE/PES Power Systems Conference and Exposition

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This paper addresses the practical implementation of real-time stability assessment and monitoring at Long Island Power Authority (LIPA). After a brief introduction of the power system under LIPA's jurisdiction in the context of the Eastern US interconnection, the CIM compliant functionality added to the existing SCADA/EMS facilities is presented. On this background, the implementation of real-time stability assessment by loosely integrating an off-the-shelf third-party application with the existing CIM compliant SCADA/EMS is described. The most important aspects of the implementation are addressed, including the extensive benchmarking of the real-time stability program. The operational results obtained to date are illustrated with actual pictures taken directly from the application's displays. IndexTerms --open access transmission, maximum loadability, energy management systems, independent system operators.

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Section: B Implementation Of Real-time Stability Assessment and Monimentioning

confidence: 99%

LIPA implementation of real-time stability monitoring in a CIM compliant environment

Arnold

Hajagos

2009

2009 IEEE/PES Power Systems Conference and Exposition

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“…Indeed, a method that meets these requirements was developed in Europe in the early 1960s by Paul Dimo (Dimo 1961(Dimo , 1975 and introduced in the USA in the 1990s (EPRI 1992(EPRI , 1993Savulescu et al 1993;Erwin et al 1994). It quickly became obvious that, if taken from the drawing board to the real life, this approach does have the potential to overcome the real-time stability challenge.…”

Section: Introductionmentioning

confidence: 97%

Fast Computation of the Steady-State Stability Limit

Savulescu

2014

Power Electronics and Power Systems

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This chapter addresses the theoretical foundation of a field-proven real-time steady-state stability tool (The commercial name of this tool is Siemens Spectrum Power QuickStab. The software is owned by Siemens AG, Germany, and is seamlessly integrated with the Spectrum Power SCADA/EMS platform and SIGUARD ® Dynamic Security Assessment suite) that quickly and reliably quantifies and visualizes the risk of blackout due to instability. The approach is inspired from Paul Dimo's steady-state stability analysis method and uses the Bruk-Markovic reactive power stability criterion in the REI Nets framework to determine how far the power system is from a state where voltages may collapse and generators may lose synchronism. The technique derives its speed and robustness from Dimo's sound approximations and simplifying assumptions, which are analyzed and substantiated. Metrics that quantify the distance to instability and to the security margin are also discussed, along with innovative tools that extract and visualize essential information from the large amount of computational results. IntroductionModern transmission networks must sustain megawatt (MW) transfers that can be quite different from those for which they were planned. This is because energy transactions across multi-area systems may cause parallel flows, excessive network loadings, and low bus voltages. Under certain conditions, such degraded states may lead to blackouts-but how to quantify the risk of blackout? How to do it quickly in real time, using input from the most recent state estimate and displaying the results before the immediately next state estimation cycle, so that the operator could make truly online, split-second decisions? And how to extract essential information from large amounts of data and computational results and present it in formats that can be instantly understood and relied upon?

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Overview of Security Assessment for Grid Operations

Savulescu

2021

Power Electronics and Power Systems

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Predicting steady-state instability

Cited by 9 publications

References 2 publications

LIPA implementation of real-time stability monitoring in a CIM compliant environment

LIPA implementation of real-time stability monitoring in a CIM compliant environment

Fast Computation of the Steady-State Stability Limit

Overview of Security Assessment for Grid Operations

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