Comparative Study of Data-Driven Area Inertia Estimation Approaches on WECC Power Systems

Bendong Tan, Jiangkai Peng, Ningchao Gao, Junbo Zhao, Jin Tan

Research output: Contribution to conferencePaper

1 Scopus Citations

Abstract

With the increasing integration of inverter-based resources into the power grid, there has been a notable reduction in system inertia, potentially compromising frequency stability. To assess the suitability of existing area inertia estimation techniques for real-world power systems, this paper presents a rigorous comparative analysis of system identification, measurement reconstruction, and electromechanical oscillation-based area inertia estimation methodologies, specifically applied to the large-scale and multi-area WECC 240-bus power system. Comprehensive results show that the system identification-based approach exhibits superior robustness and accuracy relative to its counterparts.
Original languageAmerican English
Number of pages5
DOIs
StatePublished - 2024
Event2024 IEEE Power & Energy Society General Meeting - Seattle, Washington
Duration: 21 Jul 202425 Jul 2024

Conference

Conference2024 IEEE Power & Energy Society General Meeting
CitySeattle, Washington
Period21/07/2425/07/24

NREL Publication Number

  • NREL/CP-5D00-92058

Keywords

  • area inertia estimation
  • electromechanical oscillation
  • measurement reconstruction
  • system identification
  • WECC 240-bus power system

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