Biography
From 2003 to 2012, Dr. Ning Lu was a senior research engineer with Pacific Northwest National Laboratory. She was a substation design engineer with the Shenyang Electric Power Survey and Design Institute from 1993 to 1998. She has conducted and managed research projects in modeling and analysis of power system load behaviors, wide area energy storage management systems, renewable integration, climate impact on power grids, and smart grid modeling and diagnosis. Dr. Lu is a Fellow of the Institute of Electrical and Electronics Engineers. She has authored or co-authored more than 60 publications, including journal articles, conference proceedings, and technical reports.
Research interests:
• Load modeling and control
• Wide-area energy storage
• Renewable integration
• Predictive defense model of the smart grid
• Climate change impacts on power grids
Education
-
Ph.D.
2002
Electric Power Engineering
Rensselaer Polytechnic Institute, NY -
Master's
1999
Electric Power Engineering
Rensselaer Polytechnic Institute, NY -
Bachelor's
1993
Electrical Engineering
Harbin Institute of Technology, China
Research Focus
- Power Electronics and Power Systems
Recent Publications
- A TCN-based Hybrid Forecasting Framework for Hours-ahead Utility-scale PV Forecasting (2023)
DSM pricing method based on A3C and LSTM under cloud-edge environment
(2022)- A Unified Power-Setpoint Tracking Algorithm for Utility-Scale PV Systems With Power Reserves and Fast Frequency Response Capabilities (2022)
- Design of a Battery Energy Management System for Capacity Charge Reduction (2022)
- ProfileSR-GAN: A GAN Based Super-Resolution Method for Generating High-Resolution Load Profiles (2022)
- A Data-driven Pivot-point-based Time-series Feeder Load Disaggregation Method (2021)
- A Load Switching Group based Feeder-level Microgrid Energy Management Algorithm for Service Restoration in Power Distribution System (2021)
- A Zonal Volt/VAR Control Mechanism for High PV Penetration Distribution Systems (2021)
- A meta-learning based distribution system load forecasting model selection framework (2021)
- Development of an Encoding Method on a Co-Simulation Platform for Mitigating the Impact of Unreliable Communication (2021)
Funded Research
- Energy Storage Applications in Distribution Grid Operation
- Photovoltaic Analysis and Response Support (PARS) Platform for Solar Situational Awareness and Resiliency Services
- Developing a Combined System Model and Simulation Process for Integrated Planning and Operations across Transmission and Distribution Systems, CAPER Enhancement Project
- Developing a Path Forward for the Integration of the Coordinated Real-time Sub-Transmission Volt-Var Control Tool (CReST-VCT) into Energy Management Systems (EMS)
- Data Analytics Using Advanced Meeting Data
- Green Energy Hub – DGI-IEM Demonstration Industry, FREEDM Core Project
- Fundamentals of Power Engineering to Support Integration of Distributed Energy Resources, CAPER Enhancement Project
- Economical Data-Fused Grid Edge Processor (EDGEPRO) for Future Distribution Grid Control Applications
- Energy Management Strategies for Hybrids and Microgrids
- Enabling High Penetration of Distributed PV through the Optimization of Sub-transmission Voltage Regulation
- Cybersees: Type II: Cyber-Enabled Water and Energy Systems Sustainability Utilizing Climate Information
Recent News
Guvenc and Lu Elevated to IEEE Fellows
Posted on December 1, 2020 | Filed Under: Faculty
Two NC State ECE professors–Ismail Guvenc and Ning Lu–were honored with elevation to IEEE Fellow in recognition of their outstanding contributions to the field of electrical and computer engineering.
Media Mentions
How Mussels can be Monitored to Indicate Aquatic Toxins
April 12, 2021