[HTML][HTML] State-of-the-art technologies for volt-var control to support the penetration of renewable energy into the smart distribution grids

K Gholami, MR Islam, MM Rahman, A Azizivahed… - Energy Reports, 2022 - Elsevier
The currently deployed volt-var infrastructure for voltage optimization in distribution networks
would be unable to meet the stringent technological requirements of the electric power grid …

[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 …

[HTML][HTML] Risk-averse Volt-VAr management scheme to coordinate distributed energy resources with demand response program

K Gholami, A Azizivahed, A Arefi, L Li - International Journal of Electrical …, 2023 - Elsevier
Distributed energy resources (DERs), such as renewable energy sources (RESs) and
energy storage systems (ESSs), are inevitable parts of future power grids. However, the high …

Tractable data enriched distributionally robust chance-constrained conservation voltage reduction

Q Zhang, F Bu, Y Guo, Z Wang - IEEE Transactions on Power …, 2023 - ieeexplore.ieee.org
This paper proposes a tractable distributionally robust chance-constrained conservation
voltage reduction (DRCC-CVR) method with enriched data-based ambiguity set in …

[HTML][HTML] Coordinated volt/VAR control for photovoltaic inverters: a soft actor-critic enhanced droop control approach

K Xiong, D Cao, G Zhang, Z Chen, W Hu - International Journal of Electrical …, 2023 - Elsevier
The reactive power capacity of photovoltaic inverters can be utilised to minimise power loss
and mitigate rapid voltage fluctuations in an active distribution network. This paper proposes …

[HTML][HTML] Optimal real-time Voltage/Var control for distribution network: Droop-control based multi-agent deep reinforcement learning

P Li, J Shen, Z Wu, M Yin, Y Dong, J Han - International Journal of Electrical …, 2023 - Elsevier
The photovoltaics (PVs) known as clean power generation has been highly penetrated in
distribution networks, which motivates the network develops towards high uncertainty with …

[HTML][HTML] Offering of active distribution network in real-time energy market by integrated energy management system and Volt-Var optimization

M Azarnia, M Rahimiyan, P Siano - Applied Energy, 2024 - Elsevier
This paper considers an active distribution network (ADN) that can benefit from price-
responsive demands, inverter-based photovoltaic (PV) generating units, and battery energy …

Decoupled Volt/var Control with Safe Reinforcement Learning based on Approximate Bayesian Inference

Y Zhang, P Wang, L Yu, N Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Deep reinforcement learning (DRL) has proven promising for addressing the problems
brought by the uncertainties of renewable energy sources in the volt/var control (VVC) …

Accurate optimal power flow for active distribution networks via floating tangent surface

A Azizivahed, K Gholami, L Li, J Zhang - Electric Power Systems Research, 2023 - Elsevier
Decarbonization legislated the risen integration of renewable energy sources (RESs) in the
presence of energy storage systems (ESS) in distribution networks. Nonetheless, these …

A Review of Voltage Control Studies on Low Voltage Distribution Networks Containing High Penetration Distributed Photovoltaics

X Gao, J Zhang, H Sun, Y Liang, L Wei, C Yan, Y Xie - Energies, 2024 - mdpi.com
Distributed photovoltaic (PV) in the distribution network accounted for an increasing
proportion of the distribution network, and the power quality of the distribution network of the …