DOI:10.35833/MPCE.2021.000086 |
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Power Factor Estimation of Distributed Energy Resources Using Voltage Magnitude Measurements |
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Net amount: 481 |
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Author:
Samuel Talkington1,Santiago Grijalva1,Matthew J. Reno2
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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
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Foundation: |
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. |
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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. |
Keywords: |
Decentralized power system control ; detection and estimation ; power factor ; sparse approximation |
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Received:January 31, 2021
Online Time:2021/08/04 |
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