Distribution service restoration with renewable energy sources: a review
AH Alobaidi, SS Fazlhashemi… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Distribution service restoration plays a vital role in mitigating the adverse impacts of power
outages stemming from extreme weather conditions. With incentives toward reducing the …
outages stemming from extreme weather conditions. With incentives toward reducing the …
Physics-informed graphical representation-enabled deep reinforcement learning for robust distribution system voltage control
The anomalous measurements and inaccurate distribution system physical models cause
huge challenges for distribution system optimization. This paper proposes a robust voltage …
huge challenges for distribution system optimization. This paper proposes a robust voltage …
[HTML][HTML] Black start from renewable energy resources: Review and a case study of Great Britain
Z Pan, N Jenkins, J Wu - Renewable and Sustainable Energy Reviews, 2025 - Elsevier
Black start is the restoration of an electrical power system following a total or partial system
shutdown. A loss of supply of this magnitude is a most unusual event but must be anticipated …
shutdown. A loss of supply of this magnitude is a most unusual event but must be anticipated …
Cooperative repair scheduling and service restoration for distribution systems with soft open points
Fault management is one of the crucial functions of Smart Grid to bring system back to
normal operation from fault events. In this paper, we propose a multi-period cooperative …
normal operation from fault events. In this paper, we propose a multi-period cooperative …
A multi-agent reinforcement learning method for distribution system restoration considering dynamic network reconfiguration
R Si, S Chen, J Zhang, J Xu, L Zhang - Applied Energy, 2024 - Elsevier
Extreme weather, chain failures, and other events have increased the probability of wide-
area blackouts, which highlights the importance of rapidly and efficiently restoring the …
area blackouts, which highlights the importance of rapidly and efficiently restoring the …
Service restoration using deep reinforcement learning and dynamic microgrid formation in distribution networks
MA Igder, X Liang - IEEE Transactions on Industry Applications, 2023 - ieeexplore.ieee.org
A resilient power distribution network can reduce length and impact of power outages,
maintain continuous services, and improve reliability. One effective way to enhance the …
maintain continuous services, and improve reliability. One effective way to enhance the …
Resilience-Oriented Coordination of Networked Microgrids: A Shapley Q-Value Learning Approach
High-impact and low-probability extreme events have occurred more frequently than before
because of rapid climate change, which can seriously damage distribution systems …
because of rapid climate change, which can seriously damage distribution systems …
A graph policy network approach for volt-var control in power distribution systems
Volt-var control (VVC) is the problem of operating power distribution systems within healthy
regimes by controlling actuators in power systems. Existing works have mostly adopted the …
regimes by controlling actuators in power systems. Existing works have mostly adopted the …
Coordinating multi-energy microgrids for integrated energy system resilience: A multi-task learning approach
High-impact and low-probability events have occurred more frequently than before, which
can seriously damage energy supply infrastructures. As localized small energy systems …
can seriously damage energy supply infrastructures. As localized small energy systems …
Graph multi-agent reinforcement learning for inverter-based active voltage control
Active voltage control (AVC) is a widely-used technique to improve voltage quality essential
in the emerging active distribution networks (ADNs). However, the voltage fluctuation …
in the emerging active distribution networks (ADNs). However, the voltage fluctuation …