2019
DOI: 10.1007/978-981-13-2980-7
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Model Validation for Power System Frequency Analysis

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Cited by 9 publications
(9 citation statements)
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“…Using the incorrect parameters for the dead band, droop, and ramp rate constraints can lead to significant incorrect frequency response and as a result, exhibiting frequency mismatch between simulation results and measurement values. 3,18,33 Simulation tests prove that system responses are much less sensitive to the values of other turbine-governor parameters such as time constants. 21 Therefore, in this article, only the key parameters which dominate the measured responses are selected for extraction in the validation process, and other parameters are only considered in the models with the known parameters values.…”
Section: Modeling Approachmentioning
confidence: 99%
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“…Using the incorrect parameters for the dead band, droop, and ramp rate constraints can lead to significant incorrect frequency response and as a result, exhibiting frequency mismatch between simulation results and measurement values. 3,18,33 Simulation tests prove that system responses are much less sensitive to the values of other turbine-governor parameters such as time constants. 21 Therefore, in this article, only the key parameters which dominate the measured responses are selected for extraction in the validation process, and other parameters are only considered in the models with the known parameters values.…”
Section: Modeling Approachmentioning
confidence: 99%
“…In the system-wide model validation, using the generic models considering the most influential parameters can lead to satisfactory results even in real large-scale power systems. 3 Based on previous studies identifying the most influential parameters of the governor on frequency studies, 21 governor droop, dead band, and ramp-up rate constraint are considered for extraction in the validation process and other parameters of governor such as time constants are modeled, but their values assumed to be known. The generating unit active power is closely related to system frequency response.…”
Section: Modeling Approachmentioning
confidence: 99%
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