A comprehensive survey on phasor measurement unit applications in distribution systems

M Hojabri, U Dersch, A Papaemmanouil, P Bosshart - Energies, 2019 - mdpi.com
Synchrophasor technology opens a new window for power system observability. Phasor
measurement units (PMUs) are able to provide synchronized and accurate data such as …

Research trends and applications of PMUs

G Paramo, A Bretas, S Meyn - Energies, 2022 - mdpi.com
This work is a survey of current trends in applications of PMUs. PMUs have the potential to
solve major problems in the areas of power system estimation, protection, and stability. A …

Learning distribution grid topologies: A tutorial

D Deka, V Kekatos, G Cavraro - IEEE Transactions on Smart …, 2023 - ieeexplore.ieee.org
Unveiling feeder topologies from data is of paramount importance to advance situational
awareness and proper utilization of smart resources in power distribution grids. This tutorial …

Topology estimation using graphical models in multi-phase power distribution grids

D Deka, M Chertkov, S Backhaus - IEEE Transactions on Power …, 2019 - ieeexplore.ieee.org
Power distribution grids are structurally operated radially, such that energized lines form a
collection of trees with a substation at the root of each tree. The operational topology may …

Inverter probing for power distribution network topology processing

G Cavraro, V Kekatos - IEEE Transactions on Control of …, 2019 - ieeexplore.ieee.org
Knowing the connectivity and line parameters of the underlying electric distribution network
is a prerequisite for solving any grid optimization task. Although distribution grids lack …

Graphical models in meshed distribution grids: Topology estimation, change detection & limitations

D Deka, S Talukdar, M Chertkov… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Graphical models is a succinct way to represent the structure of a probability distributions.
This article analyzes the graphical model of nodal voltages in non-radial power distribution …

Topology learning of linear dynamical systems with latent nodes using matrix decomposition

MS Veedu, H Doddi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this article, we present a novel approach to reconstruct the topology of networked linear
dynamical systems with latent nodes. The network is allowed to have directed loops and bi …

Physics informed topology learning in networks of linear dynamical systems

S Talukdar, D Deka, H Doddi, D Materassi, M Chertkov… - Automatica, 2020 - Elsevier
Learning influence pathways in a network of dynamically related processes from
observations is of considerable importance in many disciplines. In this article, influence …

An MILP approach for distribution grid topology identification using inverter probing

S Taheri, V Kekatos, G Cavraro - 2019 IEEE Milan PowerTech, 2019 - ieeexplore.ieee.org
Although knowing the feeder topology and line impedances is a prerequisite for solving any
grid optimization task, utilities oftentimes have limited or outdated information on their …

Deep‐learning‐based power distribution network switch action identification leveraging dynamic features of distributed energy resources

N Duan, EM Stewart - IET Generation, Transmission & …, 2019 - Wiley Online Library
This study proposes a data‐driven approach for identifying switch actions in power
distribution networks. Simulated micro‐phasor measurement unit data is utilised to train a …