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 …

Urban MV and LV distribution grid topology estimation via group lasso

Y Liao, Y Weng, G Liu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The increasing penetration of distributed energy resources poses numerous reliability
issues to the urban distribution grid. The topology estimation is a critical step to ensure the …

On identification of distribution grids

O Ardakanian, VWS Wong, R Dobbe… - … on Control of …, 2019 - ieeexplore.ieee.org
Large-scale integration of distributed energy resources into distribution feeders necessitates
careful control of their operation through power flow analysis. While the knowledge of the …

Full-scale distribution system topology identification using Markov random field

J Zhao, L Li, Z Xu, X Wang, H Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The identification of the distribution system topology is the key concern in distribution system
state estimation and the precondition for its energy management. However, lacking sufficient …

Inverse power flow problem

Y Yuan, SH Low, O Ardakanian… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
We formulate an inverse power flow problem that infers a nodal admittance matrix from
voltage and current phasors measured at a number of buses. We show that the admittance …

Large-Scale Grid Optimization: the Workhorse of Future Grid Computations

A Pandey, MR Almassalkhi, S Chevalier - Current Sustainable/Renewable …, 2023 - Springer
Abstract Purpose of Review The computation methods for modeling, controlling, and
optimizing the transforming grid are evolving rapidly. We review and systemize knowledge …

Physics-informed graphical neural network for parameter & state estimations in power systems

L Pagnier, M Chertkov - arXiv preprint arXiv:2102.06349, 2021 - arxiv.org
Parameter Estimation (PE) and State Estimation (SE) are the most wide-spread tasks in the
system engineering. They need to be done automatically, fast and frequently, as …

Exact topology and parameter estimation in distribution grids with minimal observability

S Park, D Deka, M Chcrtkov - 2018 power systems computation …, 2018 - ieeexplore.ieee.org
Limited presence of nodal and line meters in distribution grids hinders their optimal
operation and participation in real-time markets. In particular lack of real-time information on …

Distribution grid topology and parameter estimation using deep-shallow neural network with physical consistency

H Li, Y Weng, V Vittal, E Blasch - IEEE Transactions on Smart …, 2023 - ieeexplore.ieee.org
To better monitor and control distribution grids, the exact knowledge of system topology and
parameters is a fundamental requirement. However, topology information is usually …

Data-driven optimal voltage regulation using input convex neural networks

Y Chen, Y Shi, B Zhang - Electric Power Systems Research, 2020 - Elsevier
Fast time-scale voltage regulation is needed to enable high penetration of renewables in
power distribution networks. A promising approach is to control the reactive power injections …