Research on identifiability of equivalent motor in composite load model

Jin Ma, Dong Han, Renmu He, Zhaoyang Dong, David J. Hill

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

10 Citations (Scopus)

Abstract

Load modeling is very important for power system dynamic analysis and control. The composite load model widely applied recently in the power system operation centre consists of the static load and the equivalent motor. Current practices in measurement-based load modeling identify all the parameters in this composite load model. However, it is not clear whether all these parameters could be identified from the measurements. This paper investigates the identifiability of the equivalent motor parameters in the composite load model. Trajectory sensitivity approach is applied first to find the motor parameters that have great effects on the measured active as well as reactive load dynamics. The analysis results show that the motor outputs have various sensitivities with respect to the parameters. Since the voltage disturbance, the active load and the reactive load dynamics are applied to identify the motor parameters, those parameters affecting the measurements to a great extent are observable, thus identifiable from the measurements; while those that have little effects on the motor outputs are unobservable from the measurements and consequently unidentifiable. The case studies verify the identifiability of the motor parameters.

Original languageEnglish
Title of host publication2007 IEEE Lausanne POWERTECH, Proceedings
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1015-1020
Number of pages6
ISBN (Print)9781424421909
DOIs
Publication statusPublished - 2007
Externally publishedYes
EventIEEE Lausanne PowerTech 2007 - Lausanne, Switzerland
Duration: 1 Jul 20075 Jul 2007
https://ieeexplore.ieee.org/xpl/conhome/4534843/proceeding (Proceedings)

Conference

ConferenceIEEE Lausanne PowerTech 2007
Country/TerritorySwitzerland
CityLausanne
Period1/07/075/07/07
Internet address

Keywords

  • Measurement-based load modeling
  • Power system stability
  • Trajectory sensitivities

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