Receding horizon algorithm for dynamic transformer rating and its application for real-time economic dispatch

Ildar Daminov, Anton Prokhorov, Raphael Caire, Marie Cecile Alvarez-Herault

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

Abstract

This paper proposes algorithm, defining the dynamic transformer rating (DTR) for maximization of energy transfer through oil-immersed transformer. Algorithm ensures that windings temperature and loss of insulation life do not exceed their permissible limits. To achieve this goal, we use receding horizon control. Receding horizon control considers load and ambient temperature at past and future intervals to update the DTR. Proposed algorithm is intended for application in real-time economic dispatch at balancing market where it could allow the decreasing of energy generation cost. We consider a two-machine power system as case study, where cheap generation is constrained by transformer rating. The expensive generation does not have any network constraints. The algorithm application increased the cheap generation by 12% in comparison with static thermal limit and by 3% in comparison with static thermal limit corrected to ambient temperature. The generation rescheduling, allowed by DTR, decreased the energy generation cost by 27.9% and 9.8% correspondingly.

Original languageEnglish
Title of host publication2019 IEEE Milan PowerTech, PowerTech 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538647226
DOIs
Publication statusPublished - 1 Jun 2019
Event2019 IEEE Milan PowerTech, PowerTech 2019 - Milan, Italy
Duration: 23 Jun 201927 Jun 2019

Publication series

Name2019 IEEE Milan PowerTech, PowerTech 2019

Conference

Conference2019 IEEE Milan PowerTech, PowerTech 2019
CountryItaly
CityMilan
Period23.6.1927.6.19

Keywords

  • Balancing market
  • Dynamic transformer rating
  • Economic dispatch
  • Receding Horizon Control
  • Transformer thermal model

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Safety, Risk, Reliability and Quality

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  • Cite this

    Daminov, I., Prokhorov, A., Caire, R., & Alvarez-Herault, M. C. (2019). Receding horizon algorithm for dynamic transformer rating and its application for real-time economic dispatch. In 2019 IEEE Milan PowerTech, PowerTech 2019 [8810511] (2019 IEEE Milan PowerTech, PowerTech 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PTC.2019.8810511