Receding horizon algorithm for dynamic transformer rating and its application for real-time economic dispatch - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2019

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

Résumé

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.
Fichier non déposé

Dates et versions

hal-02182291 , version 1 (12-07-2019)

Identifiants

  • HAL Id : hal-02182291 , version 1

Citer

Ildar Daminov, Anton Prokhorov, Raphaël Caire, Marie-Cécile Alvarez-Hérault. Receding horizon algorithm for dynamic transformer rating and its application for real-time economic dispatch. IEEE PowerTech 2019, Jun 2019, Milan, Italy. ⟨hal-02182291⟩
37 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More