Online Static Load Model Estimation in Distribution Systems: Preprint

Venkat Krishnan, Yingchen Zhang, Hongda Ren, Noel Schultz

Research output: Contribution to conferencePaper


The paper focuses on parameter identification for time varying voltage dependent polynomial load models, namely the constant impedance (Z), constant current (I), and constant power (P), in the distribution systems. Typically, parameter identification has been done for aggregated loads at substations for the transmission planning studies. Given the higher voltage volatility faced by active distribution systems, this paper takes the load model estimation to the distribution networks. The paper assumes the presence of measurements at the distribution nodes from various sources, each at varying temporal resolutions. Least squares estimation (LSE) method with bounded variables is used to convert the measurements into ZIP parameter estimations for loads at various locations of the feeder. The results and discussions focus on some of the estimation issues faced in a distribution system due to varying voltage sensitivities of loads along a feeder, measurement resolution, impact of window size and sampling rate of measurement data, and the use of dynamic simulations to create synthetic measurement data in the absence of real ones.
Original languageAmerican English
Number of pages9
StatePublished - 2019
Event2019 IEEE 28th International Symposium on Industrial Electronics (IEEE ISIE) - Vancouver, Canada
Duration: 12 Jun 201914 Jun 2019


Conference2019 IEEE 28th International Symposium on Industrial Electronics (IEEE ISIE)
CityVancouver, Canada

Bibliographical note

See NREL/CP-5D00-74634 for paper as published in IEEE proceedings

NREL Publication Number

  • NREL/CP-5D00-73228


  • distribution systems
  • dynamics
  • least square estimation
  • load parameters
  • measurements
  • voltages


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