Real-time Inertia Estimation Using Probing Method and PMU Measurement

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dc.contributor.authorZhao, Yi
dc.contributor.authorLiu, Yilu
dc.date.accessioned2023-12-26T18:39:35Z
dc.date.available2023-12-26T18:39:35Z
dc.date.issued2024-01-03
dc.identifier.doihttps://doi.org/10.24251/HICSS.2024.365
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.othered068438-2a66-4666-912a-490296aafd24
dc.identifier.urihttps://hdl.handle.net/10125/106748
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectMonitoring, Control, and Protection
dc.subjectinertia estimation
dc.subjectinverter-based device (ibr)
dc.subjectphasor measurement units
dc.subjectpower system identification
dc.subjectprobing signal design
dc.titleReal-time Inertia Estimation Using Probing Method and PMU Measurement
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractThe increasing deployment of inverter-based devices (IBRs) has significantly impacted the power system inertia level and frequency recovery under frequency disturbances. Real-time inertia estimation is highly needed by power system operators for power grid secure operation. This paper presents a real-time inertia estimation method for a power system using a probing signal and the measurement of phasor measurement units (PMUs). The probing signal is designed while considering the requirements of the power grid secure operation. Based on the probing signal response, a measurement-driven model can be identified to represent either the inertia dynamics of an individual generator or a regional electric power grid using the active power deviation and frequency deviation information from PMUs. The measurement-driven model can be further used to calculate the corresponding inertia of generators and the regional inertia. The performance of the inertia estimator is demonstrated through several test cases using the 23-bus 3-area model.
dcterms.extent8 pages
prism.startingpage3022

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