Xinliang Dai

  • Karlsruher Institut für Technologie (KIT)
    Institut für Automation und angewandte Informatik (IAI)
    Hermann-von-Helmholtz-Platz 1
    76344 Eggenstein-Leopoldshafen
    Fax: +49 721 608 22602
    Gebäude-Nr.: 445 / 449 / 668

Publikationen


2024
Ensuring Data Privacy in AC Optimal Power Flow with a Distributed Co-Simulation Framework
Dai, X.; Kocher, A.; Kovačević, J.; Dindar, B.; Jiang, Y.; Jones, C. N.; Çakmak, H.; Hagenmeyer, V.
2024. Electric power systems research, 235, Art.-Nr.: 110710. doi:10.1016/j.epsr.2024.110710
Real-time coordination of integrated transmission and distribution systems: Flexibility modeling and distributed NMPC scheduling
Dai, X.; Guo, Y.; Jiang, Y.; Jones, C. N.; Hug, G.; Hagenmeyer, V.
2024. Electric Power Systems Research, 234, Artk:Nr.: 110627. doi:10.1016/j.epsr.2024.110627
Industrial Application of the Shapley value-based Redispatch Cost Allocation to Large-Scale Power Grids requires AC Optimal Power Flow
Bauer, R.; Dai, X.; Hagenmeyer, V.
2024. 2024 IEEE Power & Energy Society General Meeting (PESGM), Seattle, 21st-25th July 2024, 1–5, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PESGM51994.2024.10688852
Real-Time Coordination of Integrated Transmission and Distribution Systems: Flexibility Modeling and Distributed NMPC Scheduling
Dai, X.; Guo, Y.; Jiang, Y.; Jones, C. N.; Hug, G.; Hagenmeyer, V.
2024. 23rd Power Systems Computation Conference, Paris, 4th-6th June 2024, arxiv
Distributed Coordination Framework for Integrated T&D Systems
Dai, X.
2024, Februar 5. 3rd Champéry Power Conference (2024), Champéry, Schweiz, 4.–9. Februar 2024
Ensuring Data Privacy in AC Optimal Power Flow with a Distributed Co-Simulation Framework
Dai, X.; Kocher, A.; Kovačević, J.; Dindar, B.; Jiang, Y.; Jones, C. N.; Çakmak, H.; Hagenmeyer, V.
2024. arxiv. doi:10.48550/arXiv.2402.01001
Real-Time Coordination of Integrated Transmission and Distribution Systems: Flexibility Modeling and Distributed NMPC Scheduling
Dai, X.; Guo, Y.; Jiang, Y.; Jones, C. N.; Hug, G.; Hagenmeyer, V.
2024. arxiv. doi:10.48550/arXiv.2402.00508
2023
A Shapley value-based Distributed AC OPF Approach for Redispatch Congestion Cost Allocation
Bauer, R.; Dai, X.; Hagenmeyer, V.
2023. e-Energy ’23: Proceedings of the 14th ACM International Conference on Future Energy Systems, 109 – 113, Association for Computing Machinery (ACM). doi:10.1145/3575813.3576881
Hypergraph- Based Fast Distributed AC Power Flow Optimization
Dai, X.; Lian, Y.; Jiang, Y.; Jones, C. N.; Hagenmeyer, V.
2023. 2023 62nd IEEE Conference on Decision and Control (CDC), 4572 – 4579, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CDC49753.2023.10383354
Hypergraph-Based Fast Distributed AC Power Flow Optimization
Dai, X.; Lian, Y.; Jiang, Y.; Jones, C. N.; Hagenmeyer, V.
2023. arxiv. doi:10.48550/arXiv.2307.06728
Distributed AC Optimal Power Flow for Generic Integrated Transmission-Distribution Systems
Dai, X.; Zhai, J.; Jiang, Y.; Jones, C. N.; Hagenmeyer, V.
2023. arxiv. doi:10.48550/arXiv.2308.13282
2022
Distributed Optimal Power Flow for VSC-MTDC Meshed AC/DC Grids Using ALADIN
Zhai, J.; Dai, X.; Jiang, Y.; Xue, Y.; Hagenmeyer, V.; Jones, C. N.; Zhang, X.-P.
2022. IEEE Transactions on Power Systems, 37 (6), 4861–4873. doi:10.1109/TPWRS.2022.3155866
Rapid Scalable Distributed Power Flow with Open-Source Implementation
Dai, X.; Cai, Y.; Jiang, Y.; Hagenmeyer, V.
2022
Rapid Scalable Distributed Power Flow with Open-Source Implementation
Dai, X.; Cai, Y.; Jiang, Y.; Hagenmeyer, V.
2022. IFAC-PapersOnLine, 55 (13), 145–150. doi:10.1016/j.ifacol.2022.07.250
2021
Distributed power flow and distributed optimization – formulation, solution, and open source implementation
Mühlpfordt, T.; Dai, X.; Engelmann, A.; Hagenmeyer, V.
2021. Sustainable energy, grids and networks, 26, Article no: 100471. doi:10.1016/j.segan.2021.100471
2020
Distributed Power Flow and Distributed Optimization - Formulation, Solution, and Open Source Implementation
Mühlpfordt, T.; Dai, X.; Engelmann, A.; Hagenmeyer, V.
2020. Cornell University. doi:10.5445/IR/1000126668