A review on topology identification methods and applications in distribution networks

F Dalavi, MEH Golshan, ND Hatziargyriou - Electric Power Systems …, 2024 - Elsevier
Topology identification (TI) is critical in electric grids, especially in distribution networks, for
detecting unintended changes due to fault events and for some control and optimization …

An improved algorithm for topology identification of distribution networks using smart meter data and its application for fault detection

C Flynn, AB Pengwah, R Razzaghi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper proposes a new method for estimating the topology of radial distribution networks
and a novel data-driven fault detection technique using smart meter data. An improved …

[HTML][HTML] Combined unbalanced distribution system state and line impedance matrix estimation

M Vanin, F Geth, R D'hulst, D Van Hertem - International Journal of …, 2023 - Elsevier
To address the challenges that the decarbonization of the energy sector is bringing about,
advanced distribution network management and operation strategies are being developed …

Gridtopo-GAN for distribution system topology identification

H Wu, Z Xu, J Zhao, S Chai - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
Due to the limited presence of monitoring and measurement devices, timely identification of
distribution grid topology has been challenging. Therefore, this article proposes a power grid …

A data-driven topology and parameter joint estimation method in non-PMU distribution networks

X Wang, Y Zhao, Y Zhou - IEEE Transactions on Power …, 2023 - ieeexplore.ieee.org
For distribution networks, topology and line parameter information is the pre-requisite of
further functions such as network analysis, operation and control. To identify the topology or …

Dynamic matrix completion based state estimation in distribution grids

B Rout, S Dahale, B Natarajan - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
The power distribution network is undergoing tremendous transformation due to an increase
in the penetration of renewable energy resources and electric vehicles. These changes …

Learning power grid outages with higher-order topological neural networks

Y Chen, RA Jacob, YR Gel, J Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the increase in cyber-physical threats and extreme weather events, resilience of the
power system has become a problem of utmost societal importance. In this article, we …

Data-driven distributed grid topology identification using backtracking Jacobian matrix approach

X Yu, J Zhao, H Zhang, X Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The topology identification of the distribution system is the foundation of state estimation and
system analyses. However, the lack of sufficient measurement devices in practice makes full …

Forecasting-aided joint topology/state estimation for distribution systems via Bayesian non-parametric modeling

T Zhang, W Zhang, Q Zhao, Z Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To ensure the validity of distribution system state estimation (DSSE) in case of frequent
topology changes, it is important to develop DSSE methods with topology identification …

Recursive gaussian process over graphs for integrating multi-timescale measurements in low-observable distribution systems

S Dahale, B Natarajan - IEEE Transactions on Power Systems, 2022 - ieeexplore.ieee.org
The transition to a smarter grid is empowered by enhanced sensor deployments and smart
metering infrastructure in the distribution system. Measurements from these sensors and …