[HTML][HTML] Implementation of artificial intelligence techniques in microgrid control environment: Current progress and future scopes

R Trivedi, S Khadem - Energy and AI, 2022 - Elsevier
Microgrids are gaining popularity by facilitating distributed energy resources (DERs) and
forming essential consumer/prosumer centric integrated energy systems. Integration …

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 …

Adaptive machine-learning-based transmission line fault detection and classification connected to inverter-based generators

KA Kharusi, AE Haffar, M Mesbah - Energies, 2023 - mdpi.com
Adaptive protection schemes have been developed to address the problem of behavior-
changing power systems integrated with inverter-based generation (IBG). This paper …

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 …

Power Distribution Network Topology Detection Using Dual-Graph Structure Graph Neural Network Model

A Ebtia, M Ghafouri, M Debbabi… - … on Smart Grid, 2024 - ieeexplore.ieee.org
Topology detection (TD) in the context of power distribution networks (PDNs) is a
fundamental requirement for a wide range of applications, such as fault localization and load …

An Innovative Approach for Enhancing Relay Coordination in Distribution Systems Through Online Adaptive Strategies Utilizing DNN Machine Learning and a Hybrid …

F Al-Bhadely, A İnan - Arabian Journal for Science and Engineering, 2024 - Springer
The present study addresses the issue of varying fault locations within a distribution system,
which leads to fluctuations in short-circuit currents and requires the implementation of …

Intermittent control for identifying network topology

Z Wu - Chaos, Solitons & Fractals, 2024 - Elsevier
Topology embodies the structure complexity of dynamical network coupled with interactive
individuals and plays a key role in its evolution dynamics. In many practical applications, the …

Enhancing Resilient Operation of Distributed Energy Resources Using Reliable Machine Learning-based IoT Connectivity

M Elsisi, CL Su, CH Lin, TT Ku - 2024 IEEE/IAS 60th Industrial …, 2024 - ieeexplore.ieee.org
The most realistic way to achieve large-scale integration of distributed energy resources
(DERs) into the current grid system is to implement microgrids. These systems function as …

Ensemble learning based transmission line fault classification using phasor measurement unit (PMU) data with explainable AI (XAI)

S Bin Akter, T Sarkar Pias, S Rahman Deeba… - Plos one, 2024 - journals.plos.org
A large volume of data is being captured through the Phasor Measurement Unit (PMU),
which opens new opportunities and challenges to the study of transmission line faults. To be …

A real-time identification method of network structure in complex network systems

Z Mei, T Oguchi - International Journal of Systems Science, 2023 - Taylor & Francis
This paper develops a real-time identification algorithm for structures of network systems.
We have already proposed a structure identification method for nonlinear network systems …