Online Static Load Model Estimation in Distribution Systems

Venkat Krishnan, Yingchen Zhang, Hongda Ren, Noel Schulz

Research output: Contribution to conferencePaper

1 Scopus Citations

Abstract

This paper focuses on parameter identification for time-varying voltage-dependent polynomial load models in distribution systems - namely, the constant impedance (Z), constant current (I), and constant power (P). The paper assumes the presence of measurements at the distribution nodes from various sources, each at varying temporal resolutions. The least-squares estimation method with bounded variables is used to convert the measurements into ZIP parameter estimations for loads at various locations on the feeder. The results and discussions focus on some of the estimation issues faced in a distribution system caused by varying voltage sensitivities of loads along a feeder, measurement resolution, impact of window size and sampling rate of measurement data. Finally, the paper uses dynamic simulations data (synthetic high-resolution measurements) to further improve the estimation results.
Original languageAmerican English
Pages153-158
Number of pages6
DOIs
StatePublished - 2019
Event2019 IEEE 28th International Symposium on Industrial Electronics (ISIE) - Vancouver, Canada
Duration: 12 Jun 201914 Jun 2019

Conference

Conference2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)
CityVancouver, Canada
Period12/06/1914/06/19

Bibliographical note

See NREL/CP-5D00-73228 for preprint

NREL Publication Number

  • NREL/CP-5D00-74634

Keywords

  • distribution systems
  • dynamics
  • least-squares estimation
  • load parameters
  • voltage measurements

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