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Guozhou Zhang
Guozhou Zhang
Verified email at swu.edu.cn
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Reinforcement learning and its applications in modern power and energy systems: A review
D Cao, W Hu, J Zhao, G Zhang, B Zhang, Z Liu, Z Chen, F Blaabjerg
Journal of modern power systems and clean energy 8 (6), 1029-1042, 2020
2542020
Data-driven optimal energy management for a wind-solar-diesel-battery-reverse osmosis hybrid energy system using a deep reinforcement learning approach
G Zhang, W Hu, D Cao, W Liu, R Huang, Q Huang, Z Chen, F Blaabjerg
Energy conversion and management 227, 113608, 2021
902021
Deep reinforcement learning-based approach for proportional resonance power system stabilizer to prevent ultra-low-frequency oscillations
G Zhang, W Hu, D Cao, Q Huang, J Yi, Z Chen, F Blaabjerg
IEEE Transactions on Smart Grid 11 (6), 5260-5272, 2020
872020
A data-driven approach for designing STATCOM additional damping controller for wind farms
G Zhang, W Hu, D Cao, J Yi, Q Huang, Z Liu, Z Chen, F Blaabjerg
International Journal of Electrical Power & Energy Systems 117, 105620, 2020
582020
A multi-agent deep reinforcement learning approach enabled distributed energy management schedule for the coordinate control of multi-energy hub with gas, electricity, and …
G Zhang, W Hu, D Cao, Z Zhang, Q Huang, Z Chen, F Blaabjerg
Energy Conversion and Management 255, 115340, 2022
442022
An extended Kalman filter based SOC estimation method for Li-ion battery
Z Cui, W Hu, G Zhang, Z Zhang, Z Chen
Energy Reports 8, 81-87, 2022
352022
A novel deep reinforcement learning enabled sparsity promoting adaptive control method to improve the stability of power systems with wind energy penetration
G Zhang, W Hu, D Cao, Q Huang, Z Chen, F Blaabjerg
Renewable Energy 178, 363-376, 2021
292021
A novel deep reinforcement learning enabled multi-band pss for multi-mode oscillation control
G Zhang, W Hu, J Zhao, D Cao, Z Chen, F Blaabjerg
IEEE Transactions on Power Systems 36 (4), 3794-3797, 2021
252021
Mechanism analysis and real-time control of energy storage based grid power oscillation damping: A soft actor-critic approach
T Li, W Hu, B Zhang, G Zhang, J Li, Z Chen, F Blaabjerg
IEEE Transactions on Sustainable Energy 12 (4), 1915-1926, 2021
182021
Artificial intelligence based approach to improve the frequency control in hybrid power system
H Wang, G Zhang, W Hu, D Cao, J Li, S Xu, D Xu, Z Chen
Energy Reports 6, 174-181, 2020
112020
A novel deep reinforcement learning enabled agent for pumped storage hydro‐wind‐solar systems voltage control
Q Huang, W Hu, G Zhang, D Cao, Z Liu, Q Huang, Z Chen
IET Renewable Power Generation 15 (16), 3941-3956, 2021
102021
Deep reinforcement learning based parameter self-tuning control strategy for VSG
K Xiong, W Hu, G Zhang, Z Zhang, Z Chen
Energy Reports 8, 219-226, 2022
92022
Deep reinforcement learning based optimization strategy for hydro-governor PID parameters to suppress ULFO
G Zhang, W Hu, D Cao, S Jing, Q Huang, Z Chen
2020 5th International Conference on Power and Renewable Energy (ICPRE), 446-450, 2020
82020
Meta-learning based voltage control strategy for emergency faults of active distribution networks
Y Zhao, G Zhang, W Hu, Q Huang, Z Chen, F Blaabjerg
Applied Energy 349, 121399, 2023
72023
Meta-learning based voltage control for renewable energy integrated active distribution network against topology change
Y Zhao, G Zhang, W Hu, Q Huang, Z Chen, F Blaabjerg
IEEE Transactions on Power Systems, 2023
72023
A novel data-driven self-tuning SVC additional fractional-order sliding mode controller for transient voltage stability with wind generations
G Zhang, J Zhao, W Hu, D Cao, B Tan, Q Huang, Z Chen
IEEE Transactions on Power Systems, 2023
72023
Coordinated volt/VAR control for photovoltaic inverters: a soft actor-critic enhanced droop control approach
K Xiong, D Cao, G Zhang, Z Chen, W Hu
International Journal of Electrical Power & Energy Systems 149, 109019, 2023
62023
基于深度强化学习的多能互补发电系统负荷频率控制策略
梁煜东, 陈峦, 张国洲, 任曼曼, 胡维昊
电工技术学报 37 (7), 1768-1779, 2022
62022
SMES damping controller design and real-time parameters tuning for low-frequency oscillation
T Li, W Hu, B Zhang, G Zhang, Z Zhang, Z Chen
IEEE Transactions on Applied Superconductivity 31 (8), 1-4, 2021
62021
Small-signal modeling of wind farm with direct-drive PMSG using the component connection method
J Yu, J Li, W Hu, G Zhang, H Wang, Q Huang, Z Chen
Energy Reports 7, 334-342, 2021
62021
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