activity
20202026
most citedCombined Unbalanced Distribution System State and Line Impedance Matrix Estimation

2 citations · 7 across the 13 of their papers we have counts for

collaborators

14 papers

eess.SY2026

Hard-Constrained Probabilistic Factor Graph Neural Network for Distribution System State Estimation under Non-Gaussian Uncertainty

M. Furqan Azam, Marta Vanin, Chris Hermans +1

Robust and accurate state estimation is fundamental for the reliable operation and monitoring of active distribution networks. Conventional numerical estimators, such as weighted l…

eess.SY2025

Low voltage user phase reconfiguration as a planning problem

Sari Kerckhove, Marta Vanin, Reinhilde D'hulst +1

Considerable levels of phase imbalance in low voltage (LV) distribution networks imply that grid assets are suboptimally utilized and can cause additional losses, equipment failure…

eess.SY2025

Distribution System State and Impedance Estimation Augmented with Carson's Equations

Marta Vanin, Frederik Geth, Rahmat Heidari +1

The impedances of cables and lines used in (multi-conductor) distribution networks are usually unknown or approximated, and may lead to problematic results for any physics-based po…

eess.SY2025

Review, Definition and Challenges of Electrical Energy Hubs

Giacomo Bastianel, Jan Kircheis, Merijn Van Deyck +6

To transition towards a carbon-neutral power system, considerable amounts of renewable energy generation capacity are being installed in the North Sea area. Consequently, projects…

eess.SY2024★ 1 cited

Optimal Transmission Switching and Busbar Splitting in Hybrid AC/DC Grids

Giacomo Bastianel, Marta Vanin, Dirk Van Hertem +1

Driven by global climate goals, an increasing amount of Renewable Energy Sources (RES) is currently being installed worldwide. Especially in the context of offshore wind integratio…

eess.SY2023

Smart Energy Network Digital Twins: Findings from a UK-Based Demonstrator Project

Matthew Deakin, Marta Vanin, Zhong Fan +1

Digital Twins promise to deliver a step-change in distribution system operations and planning, but there are few real-world examples that explore the challenges of combining imperf…

math.OC2023★ 1 cited

Making Distribution State Estimation Practical: Challenges and Opportunities

Frederik Geth, Marta Vanin, Werner Van Westering +2

In increasingly digitalized and metered distribution networks, state estimation is generally recognized as a key enabler of advanced network management functionalities. However, de…

eess.SY2023

Data quality challenges in existing distribution network datasets

Frederik Geth, Marta Vanin, Dirk Van Hertem

Existing digital distribution network models, like those in the databases of network utilities, are known to contain erroneous or untrustworthy information. This can compromise the…

eess.SY2023

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

Marta Vanin, Tom Van Acker, Reinhilde D'hulst +1

State estimation allows to monitor power networks, exploiting field measurements to derive the most likely grid state. In the literature, measurement errors are usually assumed to…

eess.SY2022★ 2 cited

Combined Unbalanced Distribution System State and Line Impedance Matrix Estimation

Marta Vanin, Frederik Geth, Reinhilde D'hulst +1

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

eess.SY2022★ 2 cited

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

Marta Vanin, Tom Van Acker, Reinhilde D'hulst +1

To address the challenges and exploit the opportunities that the decarbonization of the energy sector is bringing about, advanced distribution network management and operation stra…

eess.SY2022

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

Marta Vanin, Tom Van Acker, Hakan Ergun +3

This paper proposes a novel congestion mitigation strategy for low voltage residential feeders in which the rising power demand due to the electrification of the transport and heat…

eess.SY2022★ 1 cited

Low Voltage Customer Phase Identification Methods Based on Smart Meter Data

Alexander Hoogsteyn, Marta Vanin, Arpan Koirala +1

The increased deployment of distributed energy generation and the integration of new, large electric loads such as electric vehicles and heat pumps challenge the correct and reliab…

eess.SY2020

A framework for constrained static state estimation in unbalanced distribution networks

Marta Vanin, Tom Van Acker, Reinhilde D'hulst +1

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 p…