Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Power Factor Estimation of Distributed Energy Resources Using Voltage Magnitude Measurements
Author:
Affiliation:

1.School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30318, USA;2.Electric Power Systems Research Department, Sandia National Laboratories, Albuquerque, NM 87123, USA

Fund Project:

This material is based upon the work supported by the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) under Solar Energy Technologies Office (SETO) Agreement Number 34226. Sandia National Laboratories is a multi-mission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DENA0003525. This paper describes objective technical results and analysis. Any subjective views or opinions that might be expressed in the paper do not necessarily represent the views of the U.S. Department of Energy or the United States Government. The authors would like to thank Logan Blakely for his insightful input and comments during the early stages of the project. The authors would also like to thank Dr. Matthieu Bloch for an insightful conversation on hyperparameter tuning.

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
    Abstract:

    This paper presents a new method for the estimation of the injection state and power factor of distributed energy resources (DERs) using voltage magnitude measurements only. A physics-based linear model is used to develop estimation heuristics for net injections of real and reactive power at a set of buses under study, allowing a distribution engineer to form a robust estimate for the operating state and the power factor of the DER at those buses. The method demonstrates and exploits a mathematical distinction between the voltage sensitivity signatures of real and reactive power injections for a fixed power system model. Case studies on various test feeders for a model of the distribution circuit and statistical analyses are presented to demonstrate the validity of the estimation method. The results of this paper can be used to improve the limited information about inverter parameters and operating state during renewable planning, which helps mitigate the uncertainty inherent in their integration.

    图4 Graph plot of IEEE 13-bus feeder showing interconnection locations for static systems.Fig.4
    图6 Well-posed least-squares power factor estimation for three-phase injections.Fig.6
    图7 Bootstrap sampling distributions for a subset of least-squares injection estimate coefficients of IEEE 13-bus model.Fig.7
    图8 Ill-posed ridge regression injection estimation vector for three-phase injections.Fig.8
    图9 LASSO regression coefficients for single-phase injections.Fig.9
    图10 Example of bootstrap sampling distributions for a subset of LASSO injection estimate coefficients for IEEE 123-bus model.Fig.10
    表 2 Table 2
    Reference
    Related
    Cited by
Get Citation
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:January 31,2021
  • Revised:
  • Adopted:
  • Online: August 04,2021
  • Published: