[HTML][HTML] An Overview of Supervised Machine Learning Approaches for Applications in Active Distribution Networks

S Radhoush, BM Whitaker, H Nehrir - Energies, 2023 - mdpi.com
Distribution grids must be regularly updated to meet the global electricity demand. Some of
these updates result in fundamental changes to the structure of the grid network. Some …

[HTML][HTML] Distribution system state estimation and false data injection attack detection with a multi-output deep neural network

S Radhoush, T Vannoy, K Liyanage, BM Whitaker… - Energies, 2023 - mdpi.com
Distribution system state estimation (DSSE) has been introduced to monitor distribution
grids; however, due to the incorporation of distributed generations (DGs), traditional DSSE …

[HTML][HTML] Multi-area distribution system state estimation using decentralized physics-aware neural networks

MQ Tran, AS Zamzam, PH Nguyen, G Pemen - Energies, 2021 - mdpi.com
The development of active distribution grids requires more accurate and lower
computational cost state estimation. In this paper, the authors investigate a decentralized …

Neural networks to improve distribution state estimation—Volt var control performances

M Biserica, Y Besanger, R Caire… - … on Smart Grid, 2012 - ieeexplore.ieee.org
Distribution systems must be ready to face upcoming technical and economic constraints:
increase of Distributed Generation (DG) connections, changes in network losses and …

Pathway to cost-efficient state estimation of future distribution networks

H Liao, JV Milanovic - 2016 IEEE power and energy society …, 2016 - ieeexplore.ieee.org
This paper provides a detailed overview of the techniques and applications related to
distribution system state estimation (DSSE), together with the classification of various types …

A Robust Deep Learning Approach for Distribution System State Estimation with Distributed Generation

R Kfouri - 2023 - laur.lau.edu.lb
Distribution System State Estimation (DSSE) remains a challenging problem due to the
nature of distribution grids. Conventional methods, which are used to solve state estimation …

Simultaneous state estimation and bad data detection on PMU measurements in active distribution power networks

S Radhoush, T Vannoy, BM Whitaker… - 2022 North American …, 2022 - ieeexplore.ieee.org
State Estimation calculations and real-time monitoring of distribution power networks has
been more difficult due to increased use of Distributed Generations (DGs). Though difficult …

Data-driven dynamic models of active distribution networks using unsupervised learning techniques on field measurements

G Mitrentsis, H Lens - IEEE Transactions on Smart Grid, 2021 - ieeexplore.ieee.org
The development of realistic dynamic models for active distribution networks (ADNs) is a
challenging problem faced by both the transmission system operators and academia due to …

Benchmark of machine learning algorithms on capturing future distribution network anomalies

M Mohammadpourfard, Y Weng… - IET Generation …, 2019 - Wiley Online Library
The conventional distribution network is undergoing structural changes and becoming an
active grid due to the advent of smart grid technologies encompassing distributed energy …

Deep statistical solver for distribution system state estimation

B Habib, E Isufi, W van Breda… - … on Power Systems, 2023 - ieeexplore.ieee.org
Implementing accurate Distribution System State Estimation (DSSE) faces several
challenges, among which the lack of observability and the high density of the distribution …