Jin Lu

(i) M.S. (ii) PhD Student
2020.05 - present
Email
jlu27obfuscate@cougarnet.uh.edu
LinkedIn

Jin Lu is currently a PhD Student with the Department of Electrical and Computer Engineering at the University of Houston, Houston, TX, USA. Jin started working in the RPG lab as a research volunteer in May 2020 and then became a PhD student here in August 2020.

Education

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

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, “Annual Benefit Analysis of Integrating the Seasonal Hydrogen Storage into the Renewable Power Grids”, IEEE PES General Meeting, Orlando, Florida, USA, Jul. 2023.
  2. 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.
  3. 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.
  4. 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.
  5. 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 Climate-Dependent Spatio-Temporal Correlated Profiles”, arXiv, Feb. 2023.

Research Interests:

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

Papers (with link)

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

Transmission Planning for Climate-impacted Renewable Energy Grid: Data Preparation, Model Improvement, and Evaluation

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