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.