[HTML][HTML] State-of-the-art technologies for volt-var control to support the penetration of renewable energy into the smart distribution grids
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 …
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
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 …
[HTML][HTML] Risk-averse Volt-VAr management scheme to coordinate distributed energy resources with demand response program
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 …
energy storage systems (ESSs), are inevitable parts of future power grids. However, the high …
Tractable data enriched distributionally robust chance-constrained conservation voltage reduction
This paper proposes a tractable distributionally robust chance-constrained conservation
voltage reduction (DRCC-CVR) method with enriched data-based ambiguity set in …
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
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 …
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 …
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
This paper considers an active distribution network (ADN) that can benefit from price-
responsive demands, inverter-based photovoltaic (PV) generating units, and battery energy …
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) …
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
Decarbonization legislated the risen integration of renewable energy sources (RESs) in the
presence of energy storage systems (ESS) in distribution networks. Nonetheless, these …
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 …
proportion of the distribution network, and the power quality of the distribution network of the …