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System identification techniques for obtaining linear models of large power systems with controllable devices from noisy measurements
KTH, School of Electrical Engineering (EES), Electric Power Systems.ORCID iD: 0000-0002-2356-4795
KTH, School of Electrical Engineering (EES), Electric Power Systems.ORCID iD: 0000-0002-8189-2420
2010 (English)In: 2010 IREP Symposium - Bulk Power System Dynamics and Control - VIII, IREP2010, 2010Conference paper, Published paper (Other academic)
Abstract [en]

This paper deals with the use of system identification techniques for estimating low-order black-box state-space models formodal analysis. It presents a method to estimate state-space models for large power systems with many controllable devices from noisy measurements. To excite the system low-energy pulses generated by the controllable devices are used. The input signals are the controllable set-points of the devices, the output signals are the speed signals of some generators obtained from Phasor Measurement Units (PMU). The Subspace State-Space System Identification (N4SID) and Prediction Error Method (PEM) are compared in sense of robustness using measurement with different signal to noise ratios noisy measurements. The method is applied in an extended version of the Cigré Nordic 32-bus test system. This model approach can be used directly for the design of a centralized controller coordinating the controllable devices with the aim to increase the damping in the system.

Place, publisher, year, edition, pages
2010.
Keyword [en]
Black boxes, Extended versions, Input signal, Large power systems, Linear model, Low energies, Model approach, Noisy measurements, Output signal, Phasor measurement unit, Prediction error method, Setpoints, Speed signal, State space systems, State-space models, System identification techniques, Test systems, Error analysis, Signal to noise ratio, Stress analysis, System theory, Units of measurement, Identification (control systems)
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-36365DOI: 10.1109/IREP.2010.5563293Scopus ID: 2-s2.0-77958064942ISBN: 9781424474677 (print)OAI: oai:DiVA.org:kth-36365DiVA: diva2:430693
Conference
Bulk Power System Dynamics and Control (iREP) - VIII (iREP), 2010 iREP Symposium
Note
QC 20110712Available from: 2011-07-12 Created: 2011-07-12 Last updated: 2011-07-12Bibliographically approved

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Söder, Lennart

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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More styles
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  • de-DE
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Output format
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