Jin Lu

(ii) 2020.08 - 2024.08, Ph.D.
(i) 2020.05 - 2020.08, post-MS
Email
jlu27obfuscate@cougarnet.uh.edu
LinkedIn
PhD Defense

Dr. Jin Lu received his PhD degree in Electrical Engineering from the University of Houston, Houston, TX, USA in August 2024. Jin started working in the RPG lab as a research assistant in May 2020 when he completed his MS degree at UH, and then became a PhD student here in August 2020. Jin worked in the RPG lab as a PhD student from Aug. 2020 to Aug. 2024.

PhD Dissertation title: “Optimization of Integrated Power Systems with Hydrogen-Based Infrastructure: Strategic Operation, Planning and Benefits Analysis”

First Job: Transmission Analyst, Apex Clean Energy, USA.

Education

PhD, Electrical Engineering, University of Houston, 2020 - 2024

M.S., Electrical Engineering, University of Houston, 2020

B.S., Electrical Engineering, Dalian Maritime University, 2019

Publications at UH RPG Lab

  1. Jin Lu and Xingpeng Li, “Transmission Expansion Planning for Renewable-Energy-Dominated Power Grids Considering Climate Impact”, Journal of Modern Power Systems and Clean Energy, vol. 12, no. 6, pp. 1737-1748, Nov. 2024.
  2. Jin Lu, Xingpeng Li, Hongyi Li, Taher Chegini, Carlos Gamarra, Y. C. Ethan Yang, Margaret Cook, and Gavin Dillingham, “A Synthetic Texas Power System with Time-Series Weather-Dependent Spatiotemporal Profiles”, Sustainable Energy, Grids and Networks, vol. 43, Sep. 2025.
  3. Ali Ghaffari, Fengwei Hung, Y. C. Ethan Yang, Jin Lu, and Xingpeng Li, “Development of a coupled agent-based generation expansion planning tool with a power dispatch model”, Energy and Climate Change, vol. 5, Dec. 2024.
  4. Jin Lu and Xingpeng Li, “Annual Benefit Analysis of Integrating the Seasonal Hydrogen Storage into the Renewable Power Grids”, IEEE PES General Meeting, Orlando, Florida, USA, Jul. 2023.
  5. Jesus Silva-Rodriguez, Jin Lu and Xingpeng Li, “Cost-Benefit Analysis and Comparisons for Different Offshore Wind Energy Transmission Systems”, Offshore Technology Conference, Houston, TX, USA, May 2023.
  6. Jin Lu and Xingpeng Li, “The Benefits of Hydrogen Energy Transmission and Conversion Systems to the Renewable Power Grids: Day-ahead Unit Commitment”, 54th North American Power Symposium, Salt Lake City, UT, USA, Oct. 2022.
  7. Jin Lu and Xingpeng Li, “Optimal Skeleton Network Reconfiguration considering Topological Characteristics and Transmission Path,” 53rd North American Power Symposium, College Station,TX, USA, Nov. 2021.
  8. Jonathan Yang, Mingjian Tuo, Jin Lu, and Xingpeng Li, “Analysis of Weather and Time Features in Machine Learning-aided ERCOT Load Forecasting”, IEEE Texas Power and Energy Conference, College Station, TX, Feb. 2024.
  9. Jin Lu, Linhan Fang, Fan Jiang, and Xingpeng Li, “A Black Start Strategy for Hydrogen-integrated Renewable Grids with Energy Storage Systems”, IEEE International Conference in Energy Technologies for Future Grids, Wollongong, Australia, Dec. 2025.
  10. Jin Lu and Xingpeng Li, “Power and Hydrogen Hybrid Transmission for Renewable Energy Systems: An Integrated Expansion Planning Strategy”, arXiv.

Research Interests:

Power system operations and planning, power system restoration, renewable power systems with hydrogen energy.

Papers (with link)

A Black Start Strategy for Hydrogen-integrated Renewable Grids with Energy Storage Systems

A synthetic Texas power system with time-series weather-dependent spatiotemporal profiles

Transmission Expansion Planning for Renewable-Energy-Dominated Power Grids Considering Climate Impact

Analysis of Weather and Time Features in Machine Learning-aided ERCOT Load Forecasting

Power and Hydrogen Hybrid Transmission for Renewable Energy Systems: An Integrated Expansion Planning Strategy

Annual Benefit Analysis of Integrating the Seasonal Hydrogen Storage into the Renewable Power Grids

Cost-Benefit Analysis and Comparisons for Different Offshore Wind Energy Transmission Systems

The Benefits of Hydrogen Energy Transmission and Conversion Systems to the Renewable Power Grids: Day-ahead Unit Commitment

Optimal Skeleton Network Reconfiguration considering Topological Characteristics and Transmission Path

Resources (with link)

Synthetic Texas Power System with Time-Series Weather-Dependent Spatiotemporal Profiles

Optimal Sizing/Planning Models for Three Offshore Energy Transmission Systems in Python

SCUC and SCUC-DLR in Python

SCUC for Power-Hydrogen Systems in Python