Offline Reinforcement Learning for Microgrid Voltage Regulation
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Abstract (arXiv)
This paper presents a study on using different offline reinforcement learning algorithms for microgrid voltage regulation with solar power penetration. When environment interaction is unviable due to technical or safety reasons, the proposed approach can still obtain an applicable model through offline-style training on a previously collected dataset, lowering the negative impact of lacking online environment interactions. Experiment results on the IEEE 33-bus system demonstrate the feasibility and effectiveness of the proposed approach on different offline datasets, including the one with merely low-quality experience.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 7 of its 15 references that are in the map. First posted on arXiv 15 May 2025.
Builds on
7 of 15 references.
References · 7
- 2020Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problemscited by 1,920
- 2020Conservative Q-Learning for Offline Reinforcement Learningcited by 1,809
- 2018Off-Policy Deep Reinforcement Learning without Explorationcited by 1,241
- 2021Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networkscited by 54
- 2023On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systemscited by 10
- 2017Real-Time Local Volt/VAR Control Under External Disturbances with High PV Penetrationcited by 5
- 2023Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learningcited by 2
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- 2024End-to-End Reinforcement Learning of Curative Curtailment with Partial Measurement Availability
- 2024Implementing Deep Reinforcement Learning-Based Grid Voltage Control in Real-World Power Systems: Challenges and Insights
- 2025Partially Observable Residual Reinforcement Learning for PV-Inverter-Based Voltage Control in Distribution Grids
- 2026Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids
- 2026Offline Reinforcement Learning for Distribution-Grid Protection
- 2024Safe Reinforcement Learning for Power System Control: A Review
- 2024Learning a local trading strategy: deep reinforcement learning for grid-scale renewable energy integration
- 2025Optimizing Power Grid Topologies with Reinforcement Learning: A Survey of Methods and Challenges