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

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

Аннотация

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.

Язык оригиналаАнглийский
Название основной публикации2019 IEEE Milan PowerTech, PowerTech 2019
ИздательInstitute of Electrical and Electronics Engineers Inc.
ISBN (электронное издание)9781538647226
DOI
СостояниеОпубликовано - 1 июн 2019
Событие2019 IEEE Milan PowerTech, PowerTech 2019 - Milan, Италия
Продолжительность: 23 июн 201927 июн 2019

Серия публикаций

Название2019 IEEE Milan PowerTech, PowerTech 2019

Конференция

Конференция2019 IEEE Milan PowerTech, PowerTech 2019
СтранаИталия
ГородMilan
Период23.6.1927.6.19

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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  • Цитировать

    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. В 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