Search Results for author: Reinhilde D'hulst

Found 5 papers, 3 papers with code

Exact Modeling of Non-Gaussian Measurement Uncertainty in Distribution System State Estimation

1 code implementation6 Mar 2023 Marta Vanin, Tom Van Acker, Reinhilde D'hulst, Dirk Van Hertem

State estimation allows to monitor power networks, exploiting field measurements to derive the most likely grid state.

Combined Unbalanced Distribution System State and Line Impedance Matrix Estimation

no code implementations22 Sep 2022 Marta Vanin, Frederik Geth, Reinhilde D'hulst, Dirk Van Hertem

To address the challenges that the decarbonization of the energy sector is bringing about, advanced distribution network management and operation strategies are being developed.

Management Time Series +1

Phase Identification of Distribution System Users Through a MILP Extension of State Estimation

2 code implementations16 Jun 2022 Marta Vanin, Tom Van Acker, Reinhilde D'hulst, Dirk Van Hertem

To address the challenges and exploit the opportunities that the decarbonization of the energy sector is bringing about, advanced distribution network management and operation strategies are being developed.

Management

Congestion Mitigation in Unbalanced Residential Networks with OPF-based Demand Management

no code implementations20 Apr 2022 Marta Vanin, Tom Van Acker, Hakan Ergun, Reinhilde D'hulst, Koen Vanthournout, Dirk Van Hertem

From a planning perspective, the results can help the system operator define contractual terms that make a specific congestion mitigation scheme effective and viable.

Management

A framework for constrained static state estimation in unbalanced distribution networks

3 code implementations23 Nov 2020 Marta Vanin, Tom Van Acker, Reinhilde D'hulst, Dirk Van Hertem

State estimation plays a key role in the transition from the passive to the active operation of distribution systems, as it allows to monitor these networks and, successively, to perform control actions.

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