Learning distribution grid topologies: A tutorial
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 …
awareness and proper utilization of smart resources in power distribution grids. This tutorial …
Urban MV and LV distribution grid topology estimation via group lasso
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 …
issues to the urban distribution grid. The topology estimation is a critical step to ensure the …
On identification of distribution grids
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 …
careful control of their operation through power flow analysis. While the knowledge of the …
Full-scale distribution system topology identification using Markov random field
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 …
state estimation and the precondition for its energy management. However, lacking sufficient …
Inverse power flow problem
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 …
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
Abstract Purpose of Review The computation methods for modeling, controlling, and
optimizing the transforming grid are evolving rapidly. We review and systemize knowledge …
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 …
system engineering. They need to be done automatically, fast and frequently, as …
Exact topology and parameter estimation in distribution grids with minimal observability
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 …
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
To better monitor and control distribution grids, the exact knowledge of system topology and
parameters is a fundamental requirement. However, topology information is usually …
parameters is a fundamental requirement. However, topology information is usually …
Data-driven optimal voltage regulation using input convex neural networks
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 …
power distribution networks. A promising approach is to control the reactive power injections …