A data-driven convex-optimization method for estimating load changes

Abdullah Al-DIgs, Bo Chen, Sairaj V. Dhople, Yu Christine Chen

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

Abstract

This paper presents an optimization-based method to detect the occurrence, estimate the magnitude, and identify the location of load changes in the power system. The proposed method relies on measurements of only frequency at the output of synchronous generators along with a reduced-order power system dynamical model that captures locational effects of load disturbances on generator frequency dynamics. These locational aspects are retained in the estimation model by incorporating linearized power-flow balance into differential equations that describe synchronous-generator dynamics. The sparsity structure of load-change disturbances is leveraged so that only a limited number of measurements are needed to estimate load changes. Furthermore, a convex relaxation of the problem ensures that it can be solved online in a computationally efficient manner. Time-domain simulations involving the Western Electricity Coordinating Council 9-bus test system demonstrate the accuracy of the proposed method.

Original languageEnglish (US)
Title of host publicationGlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728127231
DOIs
StatePublished - Nov 2019
Event7th IEEE Global Conference on Signal and Information Processing, GlobalSIP 2019 - Ottawa, Canada
Duration: Nov 11 2019Nov 14 2019

Publication series

NameGlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings

Conference

Conference7th IEEE Global Conference on Signal and Information Processing, GlobalSIP 2019
CountryCanada
CityOttawa
Period11/11/1911/14/19

Keywords

  • Convex optimization
  • Event detection
  • Load change estimation

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    Al-DIgs, A., Chen, B., Dhople, S. V., & Christine Chen, Y. (2019). A data-driven convex-optimization method for estimating load changes. In GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings [8969311] (GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GlobalSIP45357.2019.8969311