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Adaptive Tie-line Power Smoothing with Renewable Generation Based on Risk-aware Reinforcement Learning Journal article
Peipei Yu, Hongcai Zhang, Yonghua Song. Adaptive Tie-line Power Smoothing with Renewable Generation Based on Risk-aware Reinforcement Learning[J]. IEEE Transactions on Power Systems, 2024, 39(6), 6819-6832.
Authors:  Peipei Yu;  Hongcai Zhang;  Yonghua Song
Favorite | TC[WOS]:2 TC[Scopus]:5  IF:6.5/7.4 | Submit date：2024/04/24
Tie-line Power Smoothing  Demand Response  Renewable Generation  Risk-aware Reinforcement Learning  
Enabling one-step regeneration of LiBH4 with self-sustaining hydrogen in its spent fuel – One pathway to storing renewable hydrogen Journal article
Chen, Kang, Liu, Mili, Peng, Zhuoyin, Zhong, Hao, Gan, Lang, Huang, Jincheng, Zhao, Jing, Wang, Hui, Liu, Jiangwen, Shao, Huaiyu, Ouyang, Liuzhang. Enabling one-step regeneration of LiBH4 with self-sustaining hydrogen in its spent fuel – One pathway to storing renewable hydrogen[J]. Journal of Alloys and Compounds, 2024, 987, 174209.
Authors:  Chen, Kang;  Liu, Mili;  Peng, Zhuoyin;  Zhong, Hao;  Gan, Lang; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:5.8/5.3 | Submit date：2024/05/16
Hydrogen Generation  Hydrogen Storage  Libh4  Regeneration  Renewable Hydrogen  
Dynamic Collaborative Pricing for Managing Refueling Demand of Hydrogen Fuel Cell Vehicles Journal article
Zhixue Yang, Hui Li, Hongcai Zhang. Dynamic Collaborative Pricing for Managing Refueling Demand of Hydrogen Fuel Cell Vehicles[J]. IEEE Transactions on Transportation Electrification, 2024, 10(4), 10349-10360.
Authors:  Zhixue Yang;  Hui Li;  Hongcai Zhang
Favorite | TC[WOS]:11 TC[Scopus]:13  IF:7.2/7.9 | Submit date：2024/04/24
Hydrogen Fuel Cell Vehicle (Hfcv)  Locational Marginal Hydrogen Price (Lmhp)  Power To Hydrogen  Refueling Navigation  Renewable Generation  Transportation  
Efficient constraint learning for data-driven active distribution network operation Journal article
Ge Chen, Hongcai Zhang, Yonghua Song. Efficient constraint learning for data-driven active distribution network operation[J]. IEEE Transactions on Power Systems, 2024, 39(1), 1472-1484.
Authors:  Ge Chen;  Hongcai Zhang;  Yonghua Song
Favorite | TC[WOS]:6 TC[Scopus]:8  IF:6.5/7.4 | Submit date：2023/07/12
Active Distribution Networks  Deep Learning  Renewable Generation  Optimal Power Flow  Flexible Sources  
Economic Emission Dispatch with Stochastic Renewable Power and Voltage Source Converters via Reinforcement Learning Multi-Objective Differential Evolution Journal article
Lv, Derong, Xiong, Guojiang, Fu, Xiaofan, Wong, Man Chung, Dessaint, Louis A., Al-Haddad, Kamal. Economic Emission Dispatch with Stochastic Renewable Power and Voltage Source Converters via Reinforcement Learning Multi-Objective Differential Evolution[J]. IEEE Transactions on Power Systems, 2024, 39(6), 6889 - 6900.
Authors:  Lv, Derong;  Xiong, Guojiang;  Fu, Xiaofan;  Wong, Man Chung;  Dessaint, Louis A.; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:6.5/7.4 | Submit date：2024/05/16
Costs  Differential Evolution  Economic Emission Dispatch  Generators  Optimization Methods  Power Generation  Renewable Energy Sources  Stochastic Processes  Uncertainty  Uncertainty  Voltage Source Converter  
Deep-Quantile-Regression-Based Surrogate Model for Joint Chance-Constrained Optimal Power Flow with Renewable Generation Journal article
Ge Chen, Hongcai Zhang, Hongxun Hui ,, Yonghua Song. Deep-Quantile-Regression-Based Surrogate Model for Joint Chance-Constrained Optimal Power Flow with Renewable Generation[J]. IEEE Transactions on Sustainable Energy, 2022, 14(1), 657-672.
Authors:  Ge Chen;  Hongcai Zhang;  Hongxun Hui ,;  Yonghua Song
Favorite | TC[WOS]:13 TC[Scopus]:14  IF:8.6/8.6 | Submit date：2023/01/30
Deep Quantile Regression  Distributed Renewable Generation  Distribution Network  Joint Chance Constraints  Optimal Power Flow  
Hour-Ahead Optimization Strategy for Shared Energy Storage of Renewable Energy Power Stations to Provide Frequency Regulation Service Journal article
Yuxin Ma, Zechun Hu, Yonghua Song. Hour-Ahead Optimization Strategy for Shared Energy Storage of Renewable Energy Power Stations to Provide Frequency Regulation Service[J]. IEEE Transactions on Sustainable Energy, 2022, 13(4), 2331-2342.
Authors:  Yuxin Ma;  Zechun Hu;  Yonghua Song
Favorite | TC[WOS]:53 TC[Scopus]:82  IF:8.6/8.6 | Submit date：2022/09/21
Automatic Generation Control  Shared Battery Energy Storage System  Distributionally Robust Optimization  Primary Frequency Response  Renewable Energy Sources  Wind Power Generation  Batteries  Power System Stability  Frequency Control  Optimization  Photovoltaic Systems  
Cost-Oriented Prediction Intervals: On Bridging the Gap Between Forecasting and Decision Journal article
Zhao, Changfei, Wan, Can, Song, Yonghua. Cost-Oriented Prediction Intervals: On Bridging the Gap Between Forecasting and Decision[J]. IEEE Transactions on Power Systems, 2022, 37(4), 3048-3062.
Authors:  Zhao, Changfei;  Wan, Can;  Song, Yonghua
Favorite | TC[WOS]:36 TC[Scopus]:41  IF:6.5/7.4 | Submit date：2022/05/13
Costs  Decision Making  Decision Making  Forecasting  Forecasting  Machine Learning  Prediction Interval  Probabilistic Logic  Renewable Energy  Renewable Energy Sources  Uncertainty  Uncertainty  Wind Power Generation  
Peer-to-Peer Energy Trading Using Prediction Intervals of Renewable Energy Generation Journal article
Yanbo Jia, Can Wan, Wenkang Cui, Yonghua Song, Ping Ju. Peer-to-Peer Energy Trading Using Prediction Intervals of Renewable Energy Generation[J]. IEEE Transactions on Smart Grid, 2022, 14(2), 1454-1465.
Authors:  Yanbo Jia;  Can Wan;  Wenkang Cui;  Yonghua Song;  Ping Ju
Favorite | TC[WOS]:25 TC[Scopus]:30  IF:8.6/9.6 | Submit date：2022/05/17
Peer-to-peer Energy Transaction  Prediction Interval  Nash Bargaining  Chance Constraints  Distributed Optimization  Renewable Energy Generation  
Data-Driven Dispatchable Regions with Potentially Active Boundaries for Renewable Power Generation: Concept and Construction Journal article
Yanqi Liu, Zhigang Li, Wei Wei, J. H. Zheng, Hongcai Zhang. Data-Driven Dispatchable Regions with Potentially Active Boundaries for Renewable Power Generation: Concept and Construction[J]. IEEE Transactions on Sustainable Energy, 2022, 13(2), 882-891.
Authors:  Yanqi Liu;  Zhigang Li;  Wei Wei;  J. H. Zheng;  Hongcai Zhang
Favorite | TC[WOS]:12 TC[Scopus]:14  IF:8.6/8.6 | Submit date：2022/05/04
Column Generation  Data Driven  Dispatchable Region  Mixed-integer Linear Program  Potentially Active Boundary  Renewable Power Generation