Jin Lu

(i) M.S. (ii) PhD Student
2020.05 - 2024.08
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 Planning for Climate-impacted Renewable Energy Grid: Data Preparation, Model Improvement, and Evaluation”, Journal of Modern Power Systems and Clean Energy, accepted for publication.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. Jin Lu, Xingpeng Li, Hongyi Li, Taher Chegini, Carlos Gamarra, Y. C. Ethan Yang, Margaret Cook, and Gavin Dillingham, “A Synthetic Texas Backbone Power System with Time-Series High-Resolution Weather-Dependent Spatio-Temporally Correlated Grid Profiles”, arXiv, Feb. 2023.
  7. Jin Lu and Xingpeng Li, “Power and Hydrogen Hybrid Transmission for Renewable Energy Systems: An Integrated Expansion Planning Strategy”, arXiv, Dec. 2023.
  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. Ali Ghaffari, Fengwei Hung, Y. C. Ethan Yang, Jin Lu, Xingpeng Li, “The development of a coupled agent-based generation expansion planning tool with a power dispatch model”, Energy and Climate Change, under review.
  10. Jin Lu and Xingpeng Li, “Optimizing Black Start in Power Systems with Fuel Cells and Battery Energy Storage”, in preparation.

Research Interests:

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

Papers (with link)

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

A Synthetic Texas Backbone Power System with Climate-Dependent Spatio-Temporal Correlated Profiles

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)

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

SCUC and SCUC-DLR in Python

Synthetic Texas 345kV Backbone Transmission System (TX-123BT) with Climate-Dependent Spatio-Temporal Correlated Profiles

SCUC for Power-Hydrogen Systems in Python