| Cooperative Optimal Control of Battery Energy Storage System under Wind Uncertainties in a Microgrid T Zhao, Z Ding IEEE Transactions on Power Systems, 2017 | 108 | 2017 |
| Distributed finite-time optimal resource management for microgrids based on multi-agent framework T Zhao, Z Ding IEEE Transactions on Industrial Electronics 65 (8), 6571-6580, 2017 | 104 | 2017 |
| Distributed Agent Consensus-Based Optimal Resource Management for Microgrids T Zhao, Z Ding IEEE Transactions on Sustainable Energy, 2017 | 91 | 2017 |
| Distributed control of battery energy storage systems for improved frequency regulation T Zhao, A Parisio, JV Milanoviæ IEEE Transactions on Power Systems 35 (5), 3729-3738, 2020 | 83 | 2020 |
| Learning Sequential Distribution System Restoration via Graph-Reinforcement Learning T Zhao, J Wang IEEE Transactions on Power Systems, 2021 | 58 | 2021 |
| Consensus-based Distributed Optimal Energy Management with Less Communication in a Microgrid T Zhao, Z Li, Z Ding IEEE Transactions on Industrial Informatics, 2018 | 52 | 2018 |
| Distributed initialization-free cost-optimal charging control of plug-in electric vehicles for demand management T Zhao, Z Ding IEEE Transactions on Industrial Informatics 13 (6), 2791-2801, 2017 | 44 | 2017 |
| Short term load forecasting with markovian switching distributed deep belief networks Y Dong, Z Dong, T Zhao, Z Li, Z Ding International Journal of Electrical Power & Energy Systems 130, 106942, 2021 | 38 | 2021 |
| A strategic day-ahead bidding strategy and operation for battery energy storage system by reinforcement learning Y Dong, Z Dong, T Zhao, Z Ding Electric power systems research 196, 107229, 2021 | 38 | 2021 |
| A Flexible Operation of Distributed Generation in Distribution Networks with Dynamic Boundaries T Zhao, B Chen, S Zhao, J Wang, X Lu IEEE Transactions on Power Systems, 2020 | 38 | 2020 |
| Neural Lyapunov Control for Power System Transient Stability: A Deep Learning-based Approach T Zhao, J Wang, X Lu, Y Du IEEE Transactions on Power Systems, 2021 | 35 | 2021 |
| Structure-informed Graph Learning of Networked Dependencies for Online Prediction of Power System Transient Dynamics T Zhao, M Yue, J Wang IEEE Transactions on Power Systems, 2022 | 31 | 2022 |
| Distributed Control of Battery Energy Storage Systems in Distribution Networks for Voltage Regulation at Transmission-Distribution Network Interconnection Points T Zhao, A Parisio, JV Milanovic Control Engineering Practice, 2021 | 28 | 2021 |
| Frequency regulation and congestion management by virtual storage plants X Wang, T Zhao, A Parisio Sustainable Energy, Grids and Networks 29, 100586, 2022 | 25 | 2022 |
| Location-dependent distributed control of battery energy storage systems for fast frequency response T Zhao, A Parisio, JV Milanoviæ International Journal of Electrical Power & Energy Systems 125, 106493, 2021 | 23 | 2021 |
| An MPC-aided Resilient Operation of Multi - Microgrids with Dynamic Boundaries T Zhao, J Wang, X Lu IEEE Transactions on Smart Grid, 2020 | 20 | 2020 |
| A Barrier-certificated Reinforcement Learning Approach for Enhancing Power System Transient Stability T Zhao, J Wang, M Yue IEEE Transactions on Power Systems, 2023 | 19 | 2023 |
| Bi-Level Adaptive Storage Expansion Strategy for Microgrids Using Deep Reinforcement Learning B Huang, T Zhao*, M Yue, J Wang IEEE Transactions on Smart Grid, 2023 | 15 | 2023 |
| Deep Learning-based Koopman Modeling for Online Control Synthesis of Nonlinear Power System Transient Dynamics T Zhao, M Yue, J Wang IEEE Transactions on Industrial Informatics, 2023 | 14 | 2023 |
| On approximating the dynamic response of synchronous generators via operator learning: A step towards building deep operator-based power grid simulators C Moya, G Lin, T Zhao, M Yue arXiv preprint arXiv:2301.12538, 2023 | 13 | 2023 |
Zhengtao DingProfessor of Control Systems, University of ManchesterVerified email at manchester.ac.uk
