A PMU-based Data-Driven Approach for Estimating the Injection Shift Factors

Rui Ma, Sara Eftekharnejad, Tianyun Zhang, Makan Fardad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

One effective way to estimate the impact of contingencies is to utilize linear distribution sensitivity factors, such as injection shift factor and line outage distribution factor. Compared to other impact estimation approaches, estimating the line flows with sensitivity factors is computationally less demanding, as a linearized DC power flow model is utilized. However, the accuracy of the power flow model is highly dependent on the received system information. Hence, wrong or missing system information can yield inaccurate results. Phasor Measurement Units provide measurements that can be used to estimate sensitivity factors such that the impact of wrong system model information can be minimized. This paper introduces a new methodology, based on the alternating direction method of multipliers, to leverage PMU data for estimating sensitivity factors. The developed methodology is particularly applicable to near real-time conditions, where the speed of estimation is of essence. The performance of the developed method is compared with the traditional estimation methods for multiple testbeds.

Original languageEnglish (US)
Title of host publication2021 IEEE Texas Power and Energy Conference, TPEC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728186122
DOIs
StatePublished - Feb 2 2021
Event2021 IEEE Texas Power and Energy Conference, TPEC 2021 - College Station, United States
Duration: Feb 2 2021Feb 5 2021

Publication series

Name2021 IEEE Texas Power and Energy Conference, TPEC 2021

Conference

Conference2021 IEEE Texas Power and Energy Conference, TPEC 2021
Country/TerritoryUnited States
CityCollege Station
Period2/2/212/5/21

Keywords

  • Injection shift factor
  • optimization
  • phasor measurement unit
  • power system reliability

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Control and Optimization

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