Robust Medium-Voltage Distribution System State Estimation using Multi-Source Data

Junbo Zhao, Can Huang, Lamine Mili, Yingchen Zhang, Liang Min

Research output: Contribution to conferencePaper

11 Scopus Citations

Abstract

Due to the lack of sufficient online measurements for distribution system observability, pseudo-measurements from short-term load or distributed renewable energy resources (DERs) forecasting are used. However, the accuracy of them is low and thus significantly limits the performance of distribution system state estimation (DSSE). In this paper, a robust DSSE that integrates multi-source measurement data is proposed. Specifically, the historical low-voltage (LV) side smart meters are used to forecast load and DERs injections via the support vector machine (SVM) with optimally tuned parameters. By contrast, the online smart meters at LV side are utilized to derive equivalent power injections at the MV/LV transformers, yielding more accurate pseudo-measurements compared to the forecasted injections. Furthermore, to deal with bad data caused by communication loss, instrumental errors and cyber attacks, robust DSSE that relies on generalized maximum-likelihood (GM)-estimation criterion is developed. The projection statistics are developed to adjust the weights of each measurement, leading to better balance between pseudo- and real-time measurements. Numerical results conducted on modified IEEE 33-bus system with DG integration demonstrate the effectiveness and robustness of the proposed method.
Original languageAmerican English
Number of pages5
DOIs
StatePublished - 2020
Event2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) - Washington, D.C.
Duration: 17 Feb 202020 Feb 2020

Conference

Conference2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)
CityWashington, D.C.
Period17/02/2020/02/20

NREL Publication Number

  • NREL/CP-5D00-77386

Keywords

  • distribution system state estimation
  • machine learning
  • pseudo measurement
  • real-time measurement
  • smart meter

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