成煜钤, 李帅, 孟高军, 等. 基于微电网储能控制系统的电能质量综合治理研究[J]. 可再生能源, 2023, 41(6): 810-817.
夏栋, 徐耀良, 郭卫民, 等. 基于实时功率判别的直流微电网协调控制策略研究[J]. 可再生能源, 2017, 35(7): 1038-1046.
范培潇, 杨军, 柯松, 等. 基于改进EDRL的含V2G孤岛微电网频率综合控制策略[J]. 电力系统自动化, 2023, 47(20): 23-32.
岳应娟, 凤林, 蔡艳平, 等. 交直流混合微电网运行控制技术[J]. 科学技术与工程, 2022, 22(28): 12242-12252.
刘奕彤, 李正烁, 樊淼. 基于量测反馈的交直流混合微电网分布式指令追踪方法[J]. 电力系统自动化, 2022, 46(24): 85-94.
米阳, 王鹏, 邓锦, 等. 孤岛交直流混合微电网群分层协调控制[J]. 电力系统保护与控制, 2021, 49(20): 1-8.
LIUW, SHEN J, ZHANG S C, et al. Distributed Secondary Control Strategy Based on Q-learning and Pinning Control for Droop-controlled Microgrids[J]. Journal of Modern Power Systems and Clean Energy, 2022, 10(5): 1314-1325. doi: 10.35833/MPCE.2020.000705
范培潇, 杨军, 肖金星, 等. 基于深度Q学习的含电动汽车孤岛微电网负荷频率控制策略[J]. 电力建设, 2022, 43(4): 91-99.
YANGY J, WAN Y, ZHU J H, et al. H Tracking Control for Linear Discrete-time Systems: Model-free Q-learning Designs[J]. IEEE Control Systems Letters, 2021, 5(1): 175-180. doi: 10.1109/LCSYS.2020.3001241
LINS W, CHU C C, TUNG C F. Data-driven Distributed Q-learning Droop Control for Frequency Synchronization and Voltage Restoration in Isolated AC Micro-grids[J]. IEEE Transactions on Industry Applications, 2023, 59(6): 7306-7317. doi: 10.1109/TIA.2023.3300290
LIUH T, WU W C. Federated Reinforcement Learning for Decentralized Voltage Control in Distribution Networks[J]. IEEE Transactions on Smart Grid, 2022, 13(5): 3840-3843. doi: 10.1109/TSG.2022.3169361
YANGY L, GUO Z S, XIONG H Y, et al. Data-driven Robust Control of Discrete-time Uncertain Linear Systems via Off-policy Reinforcement Learning[J]. IEEE Transactions on Neural Networks and Learning Systems, 2019, 30(12): 3735-3747. doi: 10.1109/TNNLS.2019.2897814
赵斐然, 游科友. 数据驱动的策略优化控制律设计最新研究综述[J]. 中国科学: 信息科学, 2023, 53(6): 1027-1049.
李臻, 范家璐, 姜艺, 等. 一种基于Off-Policy的无模型输出数据反馈H控制方法[J]. 自动化学报, 2021, 47(9): 2182-2193.
WANG D, HE H B, MU C X, et al. Intelligent Critic Control with Disturbance Attenuation for Affine Dynamics Including an Application to a Microgrid System[J]. IEEE Transactions on Industrial Electronics, 2017, 64(6): 4935-4944. doi: 10.1109/TIE.2017.2674633