[HTML][HTML] Advancements in data-driven voltage control in active distribution networks: A Comprehensive review
SM Abdelkader, S Kinga, E Ebinyu, J Amissah… - Results in …, 2024 - Elsevier
Distribution systems are integrating a growing number of distributed energy resources and
converter-interfaced generators to form active distribution networks (ADNs). Numerous …
converter-interfaced generators to form active distribution networks (ADNs). Numerous …
Optimal Design of Volt/VAR Control Rules of Inverters using Deep Learning
S Gupta, V Kekatos… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Distribution grids are challenged by rapid voltage fluctuations induced by variable power
injections from distributed energy resources (DERs). To regulate voltage, the IEEE Standard …
injections from distributed energy resources (DERs). To regulate voltage, the IEEE Standard …
Unsupervised learning for equitable DER control
In the context of managing distributed energy resources (DERs) within distribution networks
(DNs), this work focuses on the task of developing local controllers. We propose an …
(DNs), this work focuses on the task of developing local controllers. We propose an …
Deep learning for scalable optimal design of incremental Volt/VAR control rules
S Gupta, A Mehrizi-Sani… - IEEE Control …, 2023 - ieeexplore.ieee.org
Volt/VAR control rules enable distributed energy resources (DER) to autonomously regulate
voltage in distribution grids. The Volt/VAR rules provisioned by the IEEE Standard 1547 take …
voltage in distribution grids. The Volt/VAR rules provisioned by the IEEE Standard 1547 take …
Deep learning for optimal Volt/VAR control using distributed energy resources
Given their intermittency, distributed energy resources (DERs) have been commissioned
with regulating voltages at fast timescales. Although the IEEE 1547 standard specifies the …
with regulating voltages at fast timescales. Although the IEEE 1547 standard specifies the …
A chance-constrained optimal design of Volt/VAR control rules for distributed energy resources
J Wei, S Gupta, DC Aliprantis… - 2023 North American …, 2023 - ieeexplore.ieee.org
Deciding setpoints for distributed energy resources (DERs) via local control rules rather than
centralized optimization offers significant autonomy. The IEEE Standard 1547 recom-mends …
centralized optimization offers significant autonomy. The IEEE Standard 1547 recom-mends …
Application of Stability Analysis of Q (V)-Characteristic Controls Related to the Converter-Driven Stability in Distribution Networks
S Krahmer, S Ecklebe, P Schegner… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
As the amount of volatile, renewable energy sources in power distribution networks is
increasing, the stability analysis of the latter is a vital aspect for network operators. Within the …
increasing, the stability analysis of the latter is a vital aspect for network operators. Within the …
Scalable optimal design of incremental Volt/VAR control using deep neural networks
S Gupta, A Mehrizi-Sani, S Chatzivasileiadis… - arXiv preprint arXiv …, 2023 - arxiv.org
Volt/VAR control rules facilitate the autonomous operation of distributed energy resources
(DER) to regulate voltage in power distribution grids. According to non-incremental control …
(DER) to regulate voltage in power distribution grids. According to non-incremental control …
Optimal mode and droop setting of smart inverters
This paper proposes a two-time-scale distribution grid optimal power flow (D-OPF)
framework that provides optimal settings of smart inverters'(SIs) modes and droops in …
framework that provides optimal settings of smart inverters'(SIs) modes and droops in …
Large Language Model for Smart Inverter Cyber-Attack Detection via Textual Analysis of Volt/VAR Commands
This letter demonstrates a proof-of-concept validation of the Large Language Model (LLM)
for smart inverter cyberattack detection through textual control commands. The proposed …
for smart inverter cyberattack detection through textual control commands. The proposed …