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Publications

Papers

  1. Yongli Zhu, Chengxi Liu, Kai Sun, et al. Optimization of Battery Energy Storage to Improve Power System Oscillation Damping. IEEE Trans. Sustain. Energy, 10(3), 2019, doi.org/10.1109/TSTE.2018.2858262.
  2. Yongli Zhu, Guangyi Liu. Application of Triangle Count in Branch Contingency Screening. Int. J. Electr. Power Energy Syst., vol.135, 2022. doi.org/10.1016/j.ijepes.2021.107392.
  3. Yongli Zhu, Chengxi Liu, Liangzhong Yao. A Faster Estimation Method for Electromechanical Oscillation Frequencies. IEEE Trans. Power Syst., 34(4), July 2019, doi.org/10.1109/PESGM46819.2021.9638212.
  4. Yongli Zhu, Chengxi Liu, Bin Wang, Kai Sun. Damping Control for a Target Oscillation Mode Using Battery Energy Storage. Journal of Modern Power Systems and Clean Energy, 6(4), 2018, doi.org/10.1007/s40565-017-0371-3.
  5. Yongli Zhu. Power Grid Cascading Failure Mitigation by Reinforcement Learning. “Tackling Climate Change with Machine Learning” The 38th International Conference on Machine Learning (ICML 2021) link.
  6. Qianzhi Zhang, Zixiao Ma, Yongli Zhu, Zhaoyu Wang, et al. A Two-Level Simulation-Assisted Sequential Distribution System Restoration Model With Frequency Dynamics Constraints. IEEE Trans. Smart Grid, vol. 12, no. 5, Sept. 2021, doi.org/10.1109/TSG.2021.3088006.
  7. Tabia Ahmad, Yongli Zhu, et al. Predicting Cascading Failures in Power Systems using Graph Convolutional Networks. The 35th Conference on Neural Information Processing Systems (NeurIPS 2021) link.
  8. Yongli Zhu, Chanan Singh. End-to-End Topology-Aware Machine Learning for Power System Reliability Assessment. 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS 2022), United Kingdom, 12-15 June 2022, doi.org/10.1109/PMAPS53380.2022.9810623.
  9. Yongli Zhu, Chanan Singh. Topology-Aware Reliability Assessment by Graph Neural Networks. The 3rd Annual IEEE Kansas Power and Energy Conference, 2022 (KPEC 2022), USA, April 2022, doi.org/10.1109/KPEC54747.2022.9814806.
  10. Yongli Zhu, Lingpeng Shi, Renchang Dai, Guangyi Liu. Fast Grid Splitting Detection for N-1 Contingency Analysis by Graph Computing. 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia), May 2019, doi.org/10.1109/ISGT-Asia.2019.8880879.
  11. Yongli Zhu, Xiang Zhang, Renchang Dai. Power System Transient Analysis via Circuit Simulator: A Case Study of SVC. 2021 IEEE Kansas Power and Energy Conference, Apr. 2021, doi.org/10.1109/KPEC51835.2021.9446258.
  12. Yongli Zhu, Kai Sun, et al. Microgrid Security Assessment and Islanding Control by Support Vector Machine. 2015 IEEE PES General Meeting, Denver, Colorado, July 2015, doi.org/10.1109/PESGM.2015.7286264.
  13. Yongli Zhu, Songtao Lu. Load profile disaggregation by Blind Source Separation: a Wavelets-assisted Independent Component Analysis Approach. 2014 IEEE PES General Meeting, Washington, D.C., July 2014, doi.org/10.1109/PESGM.2014.6938947.
  14. Yongli Zhu, Renchang Dai, et al. Power Market Price Forecasting via Deep Learning. The 44th Annual Conference of the IEEE Industrial Electronics Society (IECON), Washington, D.C., Oct. 2018, doi.org/10.1109/IECON.2018.8591581.
  15. Yongli Zhu, Chengxi Liu, Kai Sun. Image Embedding of PMU Data for Deep Learning towards Transient Disturbance Classification, the 2nd IEEE International Conference on Energy Internet (ICEI 2018), May 2018, Beijing, China, doi.org/10.1109ICEI.2018.00038.
  16. Yongli Zhu, Chengxi Liu, et al. Optimal Battery Energy Storage Placement for Transient Voltage Stability Enhancement. 2019 IEEE Power & Energy Society General Meeting, Aug.2019, doi.org/10.1109/PESGM40551.2019.8973610.
  17. Yongli Zhu, Renchang Dai, Guangyi Liu. Parallel Betweenness Computation in Graph Database for Contingency Selection. 2020 IEEE Power & Energy Society General Meeting, Aug. 2020, doi.org/10.1109/PESGM41954.2020.9281492.
  18. Chengxi Liu, Claus Leth Bak, Yongli Zhu, Kai Sun. Analytical Solutions for Power Flow Equations Based on the Multivariate Quotient-Difference Method. 2019 IEEE Milan PowerTech, June 2019, doi.org/10.1109/PTC.2019.8810702.
  19. Yongli Zhu, JianGuo Yao, Di Wu. Comparative study of two stages and single stage topologies for grid-tie photovoltaic generation by PSCAD/EMTDC. 2011 International Conference on Advanced Power System Automation and Protection (APAP), Oct. 2011, doi.org/10.1109/APAP.2011.6180580.
  20. Yongli Zhu, Jianguo Yao, An Improved Newton Load Flow for Distributed Generation Based on Different Control Strategies. APPEEC 2011, Wuhan, China, Mar. 2011, doi.org/10.1109/APPEEC.2011.5748951.
  21. Yongli Zhu. Simulation study of PEM Fuel cell and its dynamic characteristics. 2013 IEEE PES General Meeting, Vancouver, Canada, July 2013, doi.org/10.1109/PESMG.2013.6672897.
  22. Yongli Zhu, Bin Wang, Kai Sun. Damping control for power systems using energy storage. The 29th Chinese Control And Decision Conference (CCDC), 3730-3735, May 2017, doi.org/10.1109/CCDC.2017.7979153.
  23. Yongli Zhu, Chengxi Liu. Mitigating Multi-Stage Cascading Failure by Reinforcement Learning. 2019 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia), pp. 3724-3728, doi.org/10.1109/ISGT-Asia.2019.8881486.
  24. Yongli Zhu, Chengxi Liu. (2020). Iceberg Detection by CNN Based on Incidence-Angle Confusion. In: Arai, K., Kapoor, S. (eds) Advances in Computer Vision. CVC 2019. Advances in Intelligent Systems and Computing, vol 944. Springer, Cham, doi.org/10.1007/978-3-030-17798-0_6
  25. Guanwei Zeng, Yongli Zhu, Chengxi Liu and Xin Gao. Modeling and Feasibility Analysis of Hydrogen Fuel Cells Powered All Electric Aircrafts. 2021 IEEE Sustainable Power and Energy Conference (iSPEC), 2021, pp. 3605-3611, doi.org/10.1109/iSPEC53008.2021.9735827.
  26. Riyasat Azim, Yongli Zhu, Hira Amna Saleem, et al. A decision tree based approach for microgrid islanding detection. 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2015, pp. 1-5, doi.org/10.1109/ISGT.2015.7131809.
  27. Riyasat Azim, Kai Sun, Fangxing Li, Yongli Zhu, et al. A comparative analysis of intelligent classifiers for passive islanding detection in microgrids. 2015 IEEE Eindhoven PowerTech, 2015, pp. 1-6, doi.org/10.1109/PTC.2015.7232369.
  28. Colin Christy and Yongli Zhu. The application of simple thermal models to improve dynamic load models. 2013 3rd International Conference on Electric Power and Energy Conversion Systems, 2013, pp. 1-5, doi.org/10.1109/EPECS.2013.6713057.

Books & Chapters

• 《分布式发电与微电网技术》作者徐青山, 人民邮电出版社， 2011. (第 4 章 “含分布式发电的配电网潮流计算”)
[English transaltion] Qingshan Xu. Distributed Generation and Microgrid Technology. Published by (China) Posts & Telecom Press Co., Ltd. Corporation, 2011. (chapter-4: “Power Flow Computation for Distributed Networks with Distributed Generation”)