English | 繁體

Search in the results

UM

Browse/Search Results:  1-4 of 4 Help

Selected(0)Clear Items/Page:    Sort:
Stochastic-Distributionally Robust Frequency-Constrained Optimal Planning for an Isolated Microgrid Journal article
Yang, Lun, Li, Hui, Zhang, Hongcai, Wu, Qiuwei, Cao, Xiaoyu. Stochastic-Distributionally Robust Frequency-Constrained Optimal Planning for an Isolated Microgrid[J]. IEEE Transactions on Sustainable Energy, 2024, 15(4), 2155-2169.
Authors:  Yang, Lun;  Li, Hui;  Zhang, Hongcai;  Wu, Qiuwei;  Cao, Xiaoyu
Favorite | TC[WOS]:8 TC[Scopus]:21  IF:8.6/8.6 | Submit date：2024/06/05
Distributionally Robust Chance-constrained Approach  Frequency Constraints  Microgrid  Planning  Uncertainty  Microgrids  Security  Generators  Wind Turbines  Load Modeling  Constraint Handling  Stochastic Processes  
Distributionally Robust Negative-Emission Optimal Energy Scheduling for Off-Grid Integrated Electricity-Heat Microgrid Journal article
Li, Hui, Wu, Qiuwei, Yang, Lun, Zhang, Hongcai, Jiang, Sufan. Distributionally Robust Negative-Emission Optimal Energy Scheduling for Off-Grid Integrated Electricity-Heat Microgrid[J]. IEEE Transactions on Sustainable Energy, 2023, 15(2), 803-818.
Authors:  Li, Hui;  Wu, Qiuwei;  Yang, Lun;  Zhang, Hongcai;  Jiang, Sufan
Favorite | TC[WOS]:3 TC[Scopus]:7  IF:8.6/8.6 | Submit date：2024/02/23
Batteries  Carbon Dioxide  Cogeneration  Costs  Direct Air Capture  Distributionally Robust Chance Constraint  Energy Scheduling  Fans  Integrated Electricity-heat Microgrid  Negative Emission  Power Systems  Uncertainty  
Chance Constrained Extreme Learning Machine for Nonparametric Prediction Intervals of Wind Power Generation Journal article
Can Wan, Changfei Zhao, Yonghua Song. Chance Constrained Extreme Learning Machine for Nonparametric Prediction Intervals of Wind Power Generation[J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2020, 35(5), 3869-3884.
Authors:  Can Wan;  Changfei Zhao;  Yonghua Song
Favorite | TC[WOS]:45 TC[Scopus]:60  IF:6.5/7.4 | Submit date：2021/05/10
Prediction Interval  Forecasting  Wind Power  Chance Constraint  Extreme Learning Machine  Dc Optimization  
Stochastic receding horizon control of active distribution networks with distributed renewables Journal article
Jiang,Yibao, Wan,Can, Wang,Jianhui, Song,Yonghua, Dong,Zhao Yang. Stochastic receding horizon control of active distribution networks with distributed renewables[J]. IEEE Transactions on Power Systems, 2018, 34(2), 1325-1341.
Authors:  Jiang,Yibao;  Wan,Can;  Wang,Jianhui;  Song,Yonghua;  Dong,Zhao Yang
Favorite | TC[WOS]:66 TC[Scopus]:84  IF:6.5/7.4 | Submit date：2021/03/09
Active Distribution Network  Chance Constraint  Distributed Renewable Generation  Stochastic Model Predictive Control  Uncertainty