Nadir Frequency Estimation in Low-Inertia Power Systems

Harold R. Chamorro, Alvaro D. Orjuela-Canon, David Ganger, Mattias Persson, Francisco Gonzalez-Longatt, Vijay K. Sood, Wilmar Martinez

Research output: Chapter in Book/ReportConference contribution

22 Scopus citations


Increasing amounts of non-synchronous generation in power grids are bringing reductions in system inertia. In a grid with extremely low inertia, the estimation of frequency indicators such as the frequency nadir can be used to feed into predictive system controls that would avoid nuisances such as triggering system protection systems, avoiding needless blackouts. In this paper, the timing of a frequency nadir is predicted using a Nonlinear Auto-Regressive (NAR) model based on an Artificial Neural Network (ANN). The estimation method is tested under a gradual inertia reduction in order to observe the adaptability of the method, under various prediction horizons.

Original languageEnglish (US)
Title of host publication2020 IEEE 29th International Symposium on Industrial Electronics, ISIE 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781728156354, 2163-5145
ISBN (Print)978-1-7281-5636-1, 978-1-7281-5634-7
StatePublished - Jun 19 2020
Event29th IEEE International Symposium on Industrial Electronics, ISIE 2020 - Delft, Netherlands
Duration: Jun 17 2020Jun 19 2020

Publication series

NameIEEE International Symposium on Industrial Electronics


Conference29th IEEE International Symposium on Industrial Electronics, ISIE 2020

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Control and Systems Engineering


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