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Neumann Series based Linear Bus Injection Model of Three-Phase AC Power Flow for Active Distribution Network Conference paper
Gong, Cheng, Lam, Chi Seng. Neumann Series based Linear Bus Injection Model of Three-Phase AC Power Flow for Active Distribution Network[C]:IEEE, 2024.
Authors:  Gong, Cheng;  Lam, Chi Seng
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/08/05
Ac Power Flow  Bus Injection Model  Linear Approximation  Neumann Series Expansion  
Generalized-Nash-Equilibrium-Based Pareto Solution for Transmission-Distribution-Coupled Optimal Power Flow Journal article
Lu, Kaicheng, Tang, Kunjie, Dong, Shufeng, Song, Yonghua. Generalized-Nash-Equilibrium-Based Pareto Solution for Transmission-Distribution-Coupled Optimal Power Flow[J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2024, 39(2), 4051-4063.
Authors:  Lu, Kaicheng;  Tang, Kunjie;  Dong, Shufeng;  Song, Yonghua
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:6.5/7.4 | Submit date：2024/04/02
Generalized Nash Equilibrium  Distributed Algorithm  Generalized Nash Game  Optimal Power Flow  Pareto Optimality  Transmission-distribution-coupled Systems  
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]:5 TC[Scopus]:5  IF:6.5/7.4 | Submit date：2023/07/12
Active Distribution Networks  Deep Learning  Renewable Generation  Optimal Power Flow  Flexible Sources  
Power Flow Control-Based Regenerative Braking Energy Utilization in AC Electrified Railways: Review and Future Trends Journal article
Chen, Junyu, Hu, Haitao, Wang, Minghao, Ge, Yinbo, Wang, Ke, Huang, Yi, Yang, Kai, He, Zhengyou, Xu, Zhao, Li, Yunwei Ryan. Power Flow Control-Based Regenerative Braking Energy Utilization in AC Electrified Railways: Review and Future Trends[J]. IEEE Transactions on Intelligent Transportation Systems, 2024, 25(7), 6345 - 6365.
Authors:  Chen, Junyu;  Hu, Haitao;  Wang, Minghao;  Ge, Yinbo;  Wang, Ke; et al.
Favorite | TC[WOS]:23 TC[Scopus]:26  IF:7.9/8.3 | Submit date：2024/05/16
Electrified Railways  Energy Efficiency  Energy Efficiency  Load Flow  Load Flow Control  Market Research  Power Flow Control  Rail Transportation  Regenerative Braking Energy  Topology  Transformers  
Constraint learning-based optimal power dispatch for active distribution networks with extremely imbalanced data Journal article
Yonghua Song, Ge Chen, Hongcai Zhang. Constraint learning-based optimal power dispatch for active distribution networks with extremely imbalanced data[J]. CSEE Journal of Power and Energy Systems, 2024, 10(1), 51-65.
Authors:  Yonghua Song;  Ge Chen;  Hongcai Zhang
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:6.9/6.9 | Submit date：2024/04/24
Deep Learning  Demand Response  Distribution Networks  Imbalanced Data  Optimal Power Flow  
Data-Driven Nonparametric Probabilistic Optimal Power Flow: An Integrated Probabilistic Forecasting and Analysis Methodology Journal article
Li, Yunyi, Wan, Can, Cao, Zhaojing, Song, Yonghua. Data-Driven Nonparametric Probabilistic Optimal Power Flow: An Integrated Probabilistic Forecasting and Analysis Methodology[J]. IEEE Transactions on Power Systems, 2023, 38(6), 5820-5833.
Authors:  Li, Yunyi;  Wan, Can;  Cao, Zhaojing;  Song, Yonghua
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:6.5/7.4 | Submit date：2023/12/04
Data-driven  Probabilistic Forecasting  Probabilistic Optimal Power Flow  Renewable Energy  Similarity Measurement  Uncertainty  
NSGA-III integrating eliminating strategy and dynamic constraint relaxation mechanism to solve many-objective optimal power flow problem Journal article
Jingrui Zhang, Junfeng Cai, Hongcai Zhang, Tengpeng Chen. NSGA-III integrating eliminating strategy and dynamic constraint relaxation mechanism to solve many-objective optimal power flow problem[J]. Applied Soft Computing, 2023, 146, 110612.
Authors:  Jingrui Zhang;  Junfeng Cai;  Hongcai Zhang;  Tengpeng Chen
Favorite | TC[WOS]:5 TC[Scopus]:11  IF:7.2/7.0 | Submit date：2023/07/22
Many-objective Optimization  Optimal Power Flow  Nsga-iii  Elimination Strategy  Dynamic Constraint Relaxation  
Optimal Power Flow Considering User-side Carbon Emission Allowances Based on Carbon Flow Theory 基于碳流理论考虑用户侧碳排放配额的最优潮流 Journal article
Huang, Minghao, Tang, Kunjie, Dong, Shufeng, Nan, Bin, Song, Yonghua. Optimal Power Flow Considering User-side Carbon Emission Allowances Based on Carbon Flow Theory 基于碳流理论考虑用户侧碳排放配额的最优潮流[J]. Dianwang Jishu/Power System Technology, 2023, 47(7), 2703-2712.
Authors:  Huang, Minghao;  Tang, Kunjie;  Dong, Shufeng;  Nan, Bin;  Song, Yonghua
Favorite | TC[Scopus]:6 | Submit date：2023/09/25
Carbon Emission Allowance Constraints  Carbon Flow Theory  Non-convex Mixed-integer Nonlinear Model  Optimal Power Flow  Particle Swarm Algorithm  
Many-objective optimal power flow problems based on distributed power flow calculations for hierarchical partition-managed power systems Journal article
Jingrui Zhang, Junfeng Cai, Silu Wang, Po Li. Many-objective optimal power flow problems based on distributed power flow calculations for hierarchical partition-managed power systems[J]. International Journal of Electrical Power and Energy Systems, 2023, 148, 108945.
Authors:  Jingrui Zhang;  Junfeng Cai;  Silu Wang;  Po Li
Favorite | TC[WOS]:3 TC[Scopus]:5  IF:5.0/4.6 | Submit date：2023/02/28
Distributed Power Flow Calculation  Nsga-iii  Optimal Power Flow  Partition-managed Power Systems  Patten Searching Algorithm  
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]:10 TC[Scopus]:11  IF:8.6/8.6 | Submit date：2023/01/30
Deep Quantile Regression  Distributed Renewable Generation  Distribution Network  Joint Chance Constraints  Optimal Power Flow