Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges

Online Multi-Agent Reinforcement Learning for Decentralized Inverter-Based Volt-VAR Control

(2021) Haotian Liu et al.   IEEE Transactions on Smart Grid

Two-Stage Volt/Var Control in Active Distribution Networks With Multi-Agent Deep Reinforcement Learning Method

(2021) Xianzhuo Sun et al.   IEEE Transactions on Smart Grid

Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks

(2021) Yuanqi Gao et al.   IEEE Transactions on Smart Grid

Model-predictive control and reinforcement learning in multi-energy system case studies

(2021) Glenn Ceusters et al.   APPLIED ENERGY

Online Learning and Distributed Control for Residential Demand Response

(2021) Xin Chen et al.   IEEE Transactions on Smart Grid

Reinforcement learning in sustainable energy and electric systems: a survey

(2020) Ting Yang et al.   ANNUAL REVIEWS IN CONTROL

Safe deep reinforcement learning-based constrained optimal control scheme for active distribution networks

(2020) Peng Kou et al.   APPLIED ENERGY

Assessing the Use of Reinforcement Learning for Integrated Voltage/Frequency Control in AC Microgrids

(2020) Abdollah Younesi et al.   Energies

Real-Time Optimal Power Flow: A Lagrangian Based Deep Reinforcement Learning Approach

(2020) Ziming Yan et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

A Multi-Agent Reinforcement Learning-Based Data-Driven Method for Home Energy Management

(2020) Xu Xu et al.   IEEE Transactions on Smart Grid

Distributed Optimal Voltage Control With Asynchronous and Delayed Communication

(2020) Sindri Magnusson et al.   IEEE Transactions on Smart Grid

Reinforcement Learning-Based Distributed BESS Management for Mitigating Overvoltage Issues in Systems With High PV Penetration

(2020) Mohammed Al-Saffar et al.   IEEE Transactions on Smart Grid

Model-Free Real-Time Autonomous Control for a Residential Multi-Energy System Using Deep Reinforcement Learning

(2020) Yujian Ye et al.   IEEE Transactions on Smart Grid

Deep Reinforcement Learning for Economic Dispatch of Virtual Power Plant in Internet of Energy

(2020) Lin Lin et al.   IEEE Internet of Things Journal

Q-Learning based Maximum Power Extraction for Wind Energy Conversion System With Variable Wind Speed

(2020) Ashish Kushwaha et al.   IEEE TRANSACTIONS ON ENERGY CONVERSION

A Multi-Agent Deep Reinforcement Learning Based Voltage Regulation Using Coordinated PV Inverters

(2020) Di Cao et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Stochastic Maintenance Schedules of Active Distribution Networks Based on Monte-Carlo Tree Search

(2020) Yuwei Shang et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Multienergy Networks Analytics: Standardized Modeling, Optimization, and Low Carbon Analysis

(2020) Wujing Huang et al.   PROCEEDINGS OF THE IEEE

Real-Time Residential Demand Response

(2020) Hepeng Li et al.   IEEE Transactions on Smart Grid

Deep Reinforcement Learning-Based Energy Storage Arbitrage With Accurate Lithium-Ion Battery Degradation Model

(2020) Jun Cao et al.   IEEE Transactions on Smart Grid

DeepComfort: Energy-Efficient Thermal Comfort Control in Buildings Via Reinforcement Learning

(2020) Guanyu Gao et al.   IEEE Internet of Things Journal

Deep Reinforcement Learning Based Volt-VAR Optimization in Smart Distribution Systems

(2020) Ying Zhang et al.   IEEE Transactions on Smart Grid

Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial Buildings

(2020) Liang Yu et al.   IEEE Transactions on Smart Grid

An Edge-Cloud Integrated Solution for Buildings Demand Response Using Reinforcement Learning

(2020) Xiangyu Zhang et al.   IEEE Transactions on Smart Grid

Distributed Automatic Load Frequency Control With Optimality in Power Systems

(2020) Xin Chen et al.   IEEE Transactions on Control of Network Systems

Model-Free Emergency Frequency Control Based on Reinforcement Learning

(2020) Chunyu Chen et al.   IEEE Transactions on Industrial Informatics

Online Scheduling of a Residential Microgrid via Monte-Carlo Tree Search and a Learned Model

(2020) Hang Shuai et al.   IEEE Transactions on Smart Grid

Two-Stage Deep Reinforcement Learning for Inverter-Based Volt-VAR Control in Active Distribution Networks

(2020) Haotian Liu et al.   IEEE Transactions on Smart Grid

Review of Challenges and Research Opportunities for Voltage Control in Smart Grids

(2019) Hongbin Sun et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Two-level area-load modeling for OPF of power system using reinforcement learning

(2019) Changxu Jiang et al.   IET Generation Transmission & Distribution

Load Frequency Regulation for Multi-Area Power System Using Integral Reinforcement Learning

(2019) Mohammed Abouheaf et al.   IET Generation Transmission & Distribution

Integrating Model-Driven and Data-Driven Methods for Power System Frequency Stability Assessment and Control

(2019) Qi Wang et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Demand Response for Home Energy Management Using Reinforcement Learning and Artificial Neural Network

(2019) Renzhi Lu et al.   IEEE Transactions on Smart Grid

Big Data Issues in Smart Grids: A Survey

(2019) Maedeh Ghorbanian et al.   IEEE Systems Journal

Deep-Reinforcement-Learning-Based Autonomous Voltage Control for Power Grid Operations

(2019) Jiajun Duan et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Optimal Distributed Feedback Voltage Control Under Limited Reactive Power

(2019) Guannan Qu et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Intelligent Multi-Microgrid Energy Management Based on Deep Neural Network and Model-Free Reinforcement Learning

(2019) Yan Du et al.   IEEE Transactions on Smart Grid

A Learning-Based Power Management Method for Networked Microgrids Under Incomplete Information

(2019) Qianzhi Zhang et al.   IEEE Transactions on Smart Grid

Deep Reinforcement Learning for Strategic Bidding in Electricity Markets

(2019) Yujian Ye et al.   IEEE Transactions on Smart Grid

Deep Reinforcement Learning for EV Charging Navigation by Coordinating Smart Grid and Intelligent Transportation System

(2019) Tao Qian et al.   IEEE Transactions on Smart Grid

Adaptive Power System Emergency Control Using Deep Reinforcement Learning

(2019) Qiuhua Huang et al.   IEEE Transactions on Smart Grid

Double Deep $Q$ -Learning-Based Distributed Operation of Battery Energy Storage System Considering Uncertainties

(2019) Van-Hai Bui et al.   IEEE Transactions on Smart Grid

Optimal Tap Setting of Voltage Regulation Transformers Using Batch Reinforcement Learning

(2019) Hanchen Xu et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Droop-Free Distributed Control for AC Microgrids With Precisely Regulated Voltage Variance and Admissible Voltage Profile Guarantees

(2019) Sheik M. Mohiuddin et al.   IEEE Transactions on Smart Grid

Coordination of Electric Vehicle Charging Through Multiagent Reinforcement Learning

(2019) Felipe Leno Da Silva et al.   IEEE Transactions on Smart Grid

Two-Timescale Voltage Control in Distribution Grids Using Deep Reinforcement Learning

(2019) Qiuling Yang et al.   IEEE Transactions on Smart Grid

Constrained EV Charging Scheduling Based on Safe Deep Reinforcement Learning

(2019) Hepeng Li et al.   IEEE Transactions on Smart Grid

Deep Reinforcement Learning for Smart Home Energy Management

(2019) Liang Yu et al.   IEEE Internet of Things Journal

Safe Off-Policy Deep Reinforcement Learning Algorithm for Volt-VAR Control in Power Distribution Systems

(2019) Wei Wang et al.   IEEE Transactions on Smart Grid

Smart generation control based on multi-agent reinforcement learning with the idea of the time tunnel

(2018) Lei Xi et al.   ENERGY

Distributed Economic Dispatch in Microgrids Based on Cooperative Reinforcement Learning

(2018) Weirong Liu et al.   IEEE Transactions on Neural Networks and Learning Systems

On-line Building Energy Optimization using Deep Reinforcement Learning

(2018) Elena Mocanu et al.   IEEE Transactions on Smart Grid

Evaluation of Reinforcement Learning Based False Data Injection Attack to Automatic Voltage Control

(2018) Ying Chen et al.   IEEE Transactions on Smart Grid

Data-Driven Load Frequency Control for Stochastic Power Systems: A Deep Reinforcement Learning Method With Continuous Action Search

(2018) Ziming Yan et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning

(2018) Zhiqiang Wan et al.   IEEE Transactions on Smart Grid

Optimal Load-Side Control for Frequency Regulation in Smart Grids

(2017) Enrique Mallada et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Distributed Multi-Agent System-Based Load Frequency Control for Multi-Area Power System in Smart Grid

(2017) Vijay Pratap Singh et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Artificial emotional reinforcement learning for automatic generation control of large-scale interconnected power grids

(2017) Linfei Yin et al.   IET Generation Transmission & Distribution

Distributed and Decentralized Voltage Control of Smart Distribution Networks: Models, Methods, and Future Research

(2017) Kyriaki E. Antoniadou-Plytaria et al.   IEEE Transactions on Smart Grid

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Reinforcement-Learning-Based Intelligent Maximum Power Point Tracking Control for Wind Energy Conversion Systems

(2015) Chun Wei et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Multi-Agent Correlated Equilibrium Q(λ) Learning for Coordinated Smart Generation Control of Interconnected Power Grids

(2015) T. Yu et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

Integral reinforcement learning and experience replay for adaptive optimal control of partially-unknown constrained-input continuous-time systems

(2013) Hamidreza Modares et al.   AUTOMATICA

Reinforcement learning in robotics: A survey

(2013) Jens Kober et al.   INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

Reinforcement Learning Strategies for Clinical Trials in Nonsmall Cell Lung Cancer

(2011) Yufan Zhao et al.   BIOMETRICS

Smart Grid Technologies: Communication Technologies and Standards

(2011) Vehbi C. Gungor et al.   IEEE Transactions on Industrial Informatics

A Hybrid Multiagent Framework With Q-Learning for Power Grid Systems Restoration

(2011) Dayong Ye et al.   IEEE TRANSACTIONS ON POWER SYSTEMS