Liping Li

Smiling woman with black hair and dark eyes. She is wearing a white button down shirt.

Program: Integrated Systems Engineering Ph.D. Program

Specialization: Operations Research

Expected Graduation Date: 2022

Area of Research: Energy Market Design, Energy System Analysis, Optimization

Email: li.8735@buckeyemail.osu.edu

Why are you interested in sustainable energy solutions? In some way, without sustainable energy, there's something we owe to future generations and other living creatures. 

How are your personal history and vision assets to development and research in energy and sustainability? My previous experiences were mostly focused on the fault diagnosis and risk assessment of power equipment in high voltage engineering. It was mainly the technique or engineering perspective to ensure the resilience and reliability of the power system, which is a big part of a sustainable energy system. Moreover, the economic modeling, policy and regulations, as well as environmental law play a great role in the development of sustainable energy systems. That leads me to pursue a degree in operations research.

What is your dream job and how will it contribute to a more sustainable energy landscape? My dream job would be either a professor at a university or a researcher in a national lab. I hope to continue providing solid scientific evidence for advocating for sustainable energy.

Who are potential key partners for your research? Potential partners are utility companies, such as AEP, which bring a more practical view of the research. Also, the independent system operators, such as CAISO, are very good partners. They provide a wider vision of the wholesale energy market and help to build the grid of the future.

Hobbies/Personal Interests: Hiking, gardening, camping and playing badminton

Relevant Technical Skills: 

Matlab,GAMS, C++, Python and other solves for optimization

Current Projects: 

Energy Storage Modeling

Publications and Presentations:

L. Li, J. Tang and Y. Liu, "Partial discharge recognition in gas insulated switchgear based on multi-information fusion," in IEEE Transactions on Dielectrics and Electrical Insulation, vol. 22, no. 2, pp. 1080-1087, 2015, doi: https://doi.org/10.1109/TDEI.2015.7076809
 
Li, L., Tang, J., & Liu, Y. (2015). Application of Joint Electro-Chemical Detection for Gas Insulated Switchgear Fault Diagnosis. Journal of Electrical Engineering and Technology, 10(4), 1765–1772. https://doi.org/10.5370/jeet.2015.10.4.1765