[HTML][HTML] A systematic review on power systems planning and operations management with grid integration of transportation electrification at scale
Transportation electrification plays a crucial role in mitigating greenhouse gas (GHG)
emissions and enabling the decarbonization of power systems. However, current research …
emissions and enabling the decarbonization of power systems. However, current research …
Energy management systems using smart grids: an exhaustive parametric comprehensive analysis of existing trends, significance, opportunities, and challenges
The integration of widely fluctuating distributed generation (such as photovoltaic panels,
wind power, electric vehicles, and energy storage systems) puts the stability of power …
wind power, electric vehicles, and energy storage systems) puts the stability of power …
Physics-shielded multi-agent deep reinforcement learning for safe active voltage control with photovoltaic/battery energy storage systems
While many multi-agent deep reinforcement learning (MADRL) algorithms have been
implemented for active voltage control (AVC) in power distribution systems, the safety of …
implemented for active voltage control (AVC) in power distribution systems, the safety of …
An efficient modular optimization scheme for unbalanced active distribution networks with uncertain EV and PV penetrations
V Vijayan, A Mohapatra, SN Singh… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Integrated control strategies with Network Reconfiguration (NR), Demand Response (DR),
and voltage control can reduce peak demand, energy loss, and system-wide unbalances in …
and voltage control can reduce peak demand, energy loss, and system-wide unbalances in …
A dynamic internal trading price strategy for networked microgrids: A deep reinforcement learning-based game-theoretic approach
In this study, a novel two-step optimization model is developed for maximizing the amount of
internal power trading in a distribution network comprising several networked microgrids. In …
internal power trading in a distribution network comprising several networked microgrids. In …
A multi-mode data-driven volt/var control strategy with conservation voltage reduction in active distribution networks
This paper proposes a two-stage multi-mode data-driven Volt/Var optimization-based
conservation voltage reduction (VVO/CVR) strategy to reduce total energy consumption …
conservation voltage reduction (VVO/CVR) strategy to reduce total energy consumption …
[HTML][HTML] Two-stage voltage regulation in power distribution system using graph convolutional network-based deep reinforcement learning in real time
The model-based voltage control is widely used to mitigate quick voltage fluctuations
caused by renewable energy uncertainties. However, the accurate and complete …
caused by renewable energy uncertainties. However, the accurate and complete …
Network-aware P2P multi-energy trading in decentralized electric-heat systems
Facilitated by the emerging 4th generation low-temperature district heating network, the
electric-heat system is evolving towards a decentralized architecture consisting of multiple …
electric-heat system is evolving towards a decentralized architecture consisting of multiple …
Graph learning-based voltage regulation in distribution networks with multi-microgrids
Microgrids (MGs), as localized small power systems, can effectively provide voltage
regulation services for distribution networks by integrating and managing various distributed …
regulation services for distribution networks by integrating and managing various distributed …
Decentralized communication based two-tier volt-var control strategy for large-scale centralized photovoltaic power plant
H Li, K Guo, G Hao, M Mao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Long-distance power transmission makes a large-scale centralized photovoltaic (PV) power
plant (CPPP) integrated into a weak power grid with a low short circuit ratio. Under this …
plant (CPPP) integrated into a weak power grid with a low short circuit ratio. Under this …