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Practical Method for Monitoring Inter-Area Oscillations in Electric Power Systems
Massachusetts Institute of Technology, Laboratory for Information and Decision Systems, Cambridge, MA.
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems. Massachusetts Institute of Technology, Laboratory for Information and Decision Systems, Cambridge, MA.ORCID iD: 0000-0002-9157-4848
Massachusetts Institute of Technology, Laboratory for Information and Decision Systems, Cambridge, MA.
2024 (English)In: 2024 56th North American Power Symposium, NAPS 2024, Institute of Electrical and Electronics Engineers (IEEE) , 2024Conference paper, Published paper (Refereed)
Abstract [en]

This paper is motivated by the need to account for the impact of intermittent power output deviations by the renewable resources on dynamics of the changing electric energy systems. When uncontrolled, these deviations have the same effect as negative load variations. They are are hard to account for in small signal analysis using conventional state space (CSS) models. In this paper we illustrate the new transformed state space (TSS) model which represents power dynamics as a state variable. We use the Kundur two area 4 generators test system to illustrate the new model, perform its eigenmode analysis and compare with the spectral properties of the CSS model. We illustrate how the explicit modeling of power dynamics sets the basis for fundamental understanding of eigenmode structures for disconnected areas and for the interconnected system. Given these properties, we suggest that interarea dynamics can be monitored by measuring power deviations, and does not require PMUs, a major simplification. It is also illustrated how these dynamics can be monitored using just these power deviations on a commonly used two area test system.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2024.
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-358134DOI: 10.1109/NAPS61145.2024.10741799ISI: 001423279900106Scopus ID: 2-s2.0-85212092089OAI: oai:DiVA.org:kth-358134DiVA, id: diva2:1924759
Conference
56th North American Power Symposium, NAPS 2024, El Paso, United States of America, October 13-15, 2024
Note

Part of ISBN 9798331521035

QC 20250117

Available from: 2025-01-07 Created: 2025-01-07 Last updated: 2025-05-19Bibliographically approved

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Bano, Sayyeda Umbereen

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