Predictive control based on stochastic disturbance trajectories for congestion management in sub-transmission grids

Towards a safe maximisation of renewable’s flexibility in power transmission sub-grids: An MPC approach

“…Transmission System Operator, Réseau de Transport d'Électricité (RTE), Paris, France {firstname.lastname}@rte-france.com management [7]- [9], which is considered nowadays by TSOs as a possible solution for handling power congestion. The contributions here deal with: i) considering the possibility to decrease curtailments ii) whenever the observability of currently available renewable power is lacking, considering a prediction scenario to guarantee the safety of functioning as result of the receding-horizon optimal decision-making.…”

“…The decrease of the curtailment has to cope with the lack of available information on the available power. Notice that, in [8] and [9], the curtailment level is decided with the current available powers measurement and an estimation of the future available powers over a prediction horizon, and the curtailment level is minimized with a penalty in the MPC cost function. Hence, the curtailed power will be reduced if no congestion on the lines is foreseen.…”

Data-Based Predictive Control for Power Congestion Management in Subtransmission Grids Under Uncertainty

“…Then, their weighted combination is incorporated into the optimisation problem of the predictive controller. As opposed to the common custom of random sampling from the set of possible trajectories, herein we extend the preliminary results in [18]. In [18], the novel formulation of the optimisation problem incorporating a weighted combination of probabilistic trajectories is presented.…”

“…As opposed to the common custom of random sampling from the set of possible trajectories, herein we extend the preliminary results in [18]. In [18], the novel formulation of the optimisation problem incorporating a weighted combination of probabilistic trajectories is presented. In the present paper, we introduce the methodology of constructing these trajectories based on data-driven probability distribution and an iterative process to generate these trajectories over the prediction horizon.…”

“…The present paper falls in the research line of using MPC on a modeling of the sub-trasmission grid based on Power Transfer Distribution Factor (PTDF) (see [15,16]), similarly to the preliminary works in [17] and [18]. The current objective in this research line focuses on the challenges generated by uncertainties due to limited local information and the stochastic nature of renewable power generation.…”