IEEE PES General Meeting 2010
DOI: 10.1109/pes.2010.5589874
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Validation of power system models

Abstract: Since models form the basis for most power system studies, power system model validation is an essential procedure for maintaining system security and reliability. The procedure may be viewed as a "topdown" approach to model verification; comparisons with measured data indicate the quality of the overall model. Analysis of the differences demonstrates which subsystem component models need to be revalidated. Numerous examples are presented to illustrate the use and importance of system model validation.

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Cited by 42 publications
(22 citation statements)
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“…A complete model should provide information regarding the impedance and connectivity of each electrical component in the power grid. Regular system model validation is necessary for a secure and reliable power system [103]. Accurate voltage and current phasors can be helpful for computing the impedances of line segments or other components.…”
Section: Model Validationmentioning
confidence: 99%
“…A complete model should provide information regarding the impedance and connectivity of each electrical component in the power grid. Regular system model validation is necessary for a secure and reliable power system [103]. Accurate voltage and current phasors can be helpful for computing the impedances of line segments or other components.…”
Section: Model Validationmentioning
confidence: 99%
“…Since models are the foundation of most power system studies, power system model validation is an essential procedure for maintaining system security and reliability, which should be done periodically [29] [30]. Dynamic equivalencing, that is, obtaining a reduced-order power system model to capture the relevant dynamics, has been an active research area to reduce the computational effort of dynamic security assessment.…”
Section: Model Validationmentioning
confidence: 99%
“…Model inadequacies can thus have real and significant consequences for the power system. Overly conservative limits can lead to costly inefficient operation, whilst misleading stability assessment results can lead to separation or blackout, as in [23]. Validation and improvement of system models is therefore vital, and is likely to only become more challenging and resource intensive with the increasing complexity of power system plant, protection and control schemes and the range of possible operating conditions as we move toward a low carbon future.…”
Section: Dynamic Model Validationmentioning
confidence: 99%