Huan He

Research

Google Scholar

Resilience Enhancement of Power Grid System Under Extreme Weather Events

• Developed a two-stage stochastic mixed-integer linear programming (SMILP) framework to enhance power grid resilience under typhoon disasters.
• Proposed a tri-level robust optimization framework using a Defender-Attacker-Defender model, integrating pre-disaster hardening, in-disaster impact assessment, and post-disaster recovery to minimize load loss.
• Designed an intelligent power grid allocation strategy considering secondary disasters and public opinion, utilizing Extra-Tree prediction, sentiment analysis, and Mixed Integer Nonlinear Programming (MINLP).

Publications:

  • Hou, H., Wu, W., Zhang, Z., Wei, R., Wang, L., He, H., & Dong, Z. Y. (2024). A Tri-Level Typhoon-DAD Robust Optimization Framework to Enhance Distribution Network Resilience. Reliability Engineering & System Safety, 110004. https://doi.org/10.1016/j.ress.2024.110004
  • Wu, W., Hou, H., Zhu, S., Liu, Q., Wei, R., He, H., Wang, L., & Luo, Y. (2024). An intelligent power grid emergency allocation technology considering secondary disaster and public opinion under typhoon disaster. Applied Energy, 353, 122038. https://doi.org/10.1016/j.apenergy.2023.122038
  • Hou, H., Tang, J., Zhang, Z., Wu, X., Wei, R., Wang, L., & He, H. (2023). Stochastic pre‐disaster planning and post‐disaster restoration to enhance distribution system resilience during typhoons. Energy Conversion and Economics, 4(5), 346-363. https://doi.org/10.1049/enc2.12098
  • Wu, W., Hou, H., Wu, X., Wei, R., He, H., & Shi, Y. (2023). Emergency repair strategy of distribution network under wind disaster based on multidimensional importance evaluation. Energy Reports, 9, 275-282. https://doi.org/10.1016/j.egyr.2023.04.302
  • Wei, R., He, H., Wang, L., Luo, Y., Tang, J., Hou, H., He, Z., & Wu, X. (2023). Resilience Enhancement of Power Distribution System Under Extreme Weather Events: A Review. 2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), 1038-1043. https://doi.org/10.1109/ICPSAsia58343.2023.10295047
  • Hou, H., Tang, J., Zhang, Z., Wang, Z., Wei, R., Wang, L., He, H., & Wu, X. (2023). Resilience enhancement of distribution network under typhoon disaster based on two-stage stochastic programming. Applied Energy, 338, 120892. https://doi.org/10.1016/j.apenergy.2023.120892
  • Wei, R., He, H., Wang, L., Luo, Y., Wu, W., & Hou, H. (2023, April). Review of power grid importance identification and cascading fault under natural disasters based on complex network theory. In 2023 Panda Forum on Power and Energy (PandaFPE) (pp. 1338-1343). IEEE. https://doi.org/10.1109/PandaFPE57779.2023.10141242
  • Wei, R., He, H., & Wang, L. (2023, April). A Review of Research on New Power System under Typhoon Disaster. In 2023 8th Asia Conference on Power and Electrical Engineering (ACPEE) (pp. 2662-2666). IEEE. https://doi.org/10.1109/ACPEE56931.2023.10135630
  • Xu, H., Hou, H., Ge, X., Wei, R., & He, H. (2022, November). Flexible Recovery Strategy of Distribution Network after Wind Disaster with Distributed Generation. In 2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) (pp. 3269-3273). IEEE. https://doi.org/10.1109/EI256261.2022.10116697

Prediction and Analysis of Disaster Impact on Power Supply

• Developed a stacking ensemble learning model integrating multiple machine learning algorithms to predict power outage duration during typhoon disasters.
• Applied complex network theory to analyze power grid resilience under natural disasters, evaluating cascading failure models and identifying critical infrastructure components using social network and system science analysis.
• Built a power outage area prediction model using machine learning and GIS visualization, enabling proactive disaster response and reducing typhoon-induced distribution network losses.

Publications:

  • He, H., Wang, L., Zhou. E., Wei. R., & Liu. S. (2024). Domain Adaptation Infrared Forest Fire Detection Method Based on YOLOv5 Framework. International Journal on Artificial Intelligence Tools, 33 (07), 2440007. https://doi.org/10.1142/S0218213024400074
  • Wei, R., He, H., & Wang, L. (2024). Distribution Substation Risk Assessment Under Rainfall Flood Based on HEC-RAS. In 2024 The 9th International Conference on Power and Renewable Energy (ICPRE) (pp. 478-482). IEEE. https://doi.org/10.1109/ICPRE62586.2024.10768443
  • Li. Z., Hou. H., Wang. Z., Wei. R., He. H., & Wang. L. (2024). Risk Assessment of Transmission Tower Based on Analytic Hierarchy Process Under Typhoon-Rainstorm-Flood Disaster Chain. In 2024 The Purple Mountain Forum on Smart Grid Protection and Control, 772-784. https://doi.org/10.1007/978-981-96-1671-8_50
  • Wu, W., Hou, H., Wei, R., He, H., Wang, L., Liang, Y., Wu, X., & Xu, J. (2024). China Southern Power Grid Fault Analysis Under 2023 Typhoon Haikui Disaster. In 2024 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia) (pp. 38-42). IEEE. https://doi.org/10.1109/ICPSAsia61913.2024.10761596
  • Liang, Y., Wei, R., He, H., Wang, L., Tang, J., & Hou, H. (2024). Fault Analysis of Guangdong Power Grid in China During 2023 Super Typhoon Saola. In 2024 9th Asia Conference on Power and Electrical Engineering (ACPEE) (pp. 1763-1767). IEEE. https://doi.org/10.1109/ACPEE60788.2024.10532344
  • Gao, F., Hou, H., Li, S., Wei, R., Wang, L., & He, H. (2023). Prediction of Power Outage Areas in Distribution Networks During Typhoon Disasters. In 2023 2nd Asia Power and Electrical Technology Conference (APET) (pp. 506-510). IEEE. https://doi.org/10.1109/APET59977.2023.10489708
  • Hou, H., Tang, J., Zhang, Z., Wu, X., Wei, R., Wang, L., & He, H. (2023). Stochastic pre‐disaster planning and post‐disaster restoration to enhance distribution system resilience during typhoons. Energy Conversion and Economics, 4(5), 346-363. https://doi.org/10.1049/enc2.12098
  • Hou, H., Liu, C., Wei, R., He, H., Wang, L., & Li, W. (2023). Outage duration prediction under typhoon disaster with stacking ensemble learning. Reliability Engineering & System Safety, 237, 109398. https://doi.org/10.1016/j.ress.2023.109398
  • Wei, R., He, H., Wang, L., & Luo, Y. (2023, April). Review on Transmission Line Importance Evaluation. In 2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)(pp. 2263-2267). IEEE. https://doi.org/10.1109/ACPEE56931.2023.10135589
  • Wei, R., Wang, L., & He, H. (2023). Review on distribution network damage prediction and assessment under typhoon disasters. Procedia Computer Science, 224, 413-418. https://doi.org/10.1016/j.procs.2023.09.057
  • Wei, R., Wang, L., Wang, T., Zhou, E., Liu, S., He, H., Yang, H., & Wang, S. (2022). Segmentation of high-voltage transmission wires from remote sensing images using U-Net with sample generation. Remote Sensing Letters, 13(8), 833-843. https://doi.org/10.1080/2150704X.2022.2089068

Impacts of Assimilation Frequency on EnKF Assimilation and Imbalances

• Systematically explored the trade-off between assimilation frequency and imbalances using a two-layer model and the NOAA GFS.
• Designed and conducted experiments; drafted, modified, and submitted the article.
• Oral reports on the American Meteorological Society’s 25th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS).

Publications:

  • He, H., Lei, L., Whitaker, J. S., & Tan, Z. M. (2020). Impacts of assimilation frequency on ensemble Kalman filter data assimilation and imbalances. Journal of Advances in Modeling Earth Systems, 12(10), e2020MS002187. https://doi.org/10.1029/2020MS002187