Performance-Based Linearization Approach for Modeling Induction Motor Drive Loads in Dynamic Simulation

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

This paper describes a technique to model a vector-controlled induction motor drive in large-scale phasor-level dynamic simulation programs. The performance-based load model is implemented by obtaining the linearized power-voltage and power-frequency transfer functions from test data or from detailed electro-magnetic transient simulation used as a surrogate for test data. Voltage and frequency modulations are performed to obtain the amplitude and phase responses of the detailed vector-controlled drive model for a range of discrete frequencies. The prediction error minimization technique is utilized to generate best-fit analytical transfer function expressions. The electrical interface of the performance-based drive load model is developed to interact with the external system in positive-sequence dynamic simulation programs. The drive model is used to investigate the relative damping effects of drive-connected and direct-connected motors on system voltage and frequency oscillations.

Original languageEnglish (US)
Article number7845724
Pages (from-to)4636-4643
Number of pages8
JournalIEEE Transactions on Power Systems
Volume32
Issue number6
DOIs
StatePublished - Nov 1 2017

Fingerprint

Linearization
Induction motors
Computer simulation
Transfer functions
Electric potential
Frequency modulation
Probability density function
Computer systems
Damping

Keywords

  • Damping effects
  • electro-magnetic transient
  • induction motor drive
  • performance-based load model
  • positive-sequence model

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

Performance-Based Linearization Approach for Modeling Induction Motor Drive Loads in Dynamic Simulation. / Liu, Yuan; Vittal, Vijay; Undrill, John.

In: IEEE Transactions on Power Systems, Vol. 32, No. 6, 7845724, 01.11.2017, p. 4636-4643.

Research output: Contribution to journalArticle

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