Fangxing Li

Title: Innovations by Fangxing Li in Power System Management

Introduction

Fangxing Li is a prominent inventor based in Knoxville, TN (US), known for his contributions to power system management. With a total of 4 patents, he has made significant advancements in the field, particularly through the application of convolutional neural networks.

Latest Patents

Fangxing Li's latest patents include innovative methods and systems for determining the state of a power system. One notable patent focuses on using a convolutional neural network (CNN) to analyze power grid topology data. This method converts the data into a power system matrix representation, which is then processed through multiple convolutional layers to generate feature maps. These feature maps are subsequently applied to a fully connected layer to produce voltage vectors that represent the system state.

Another significant patent involves hybrid dynamic demand control for power system frequency regulation. This method allows a local processor to detect when the power system frequency falls below a certain threshold. It then calculates a power demand reduction goal and determines which appliances to deactivate based on this ratio, ensuring efficient management of power consumption.

Career Highlights

Fangxing Li is affiliated with the University of Tennessee Research Foundation, where he continues to develop innovative solutions for power systems. His work has garnered attention for its practical applications in enhancing the reliability and efficiency of power management.

Collaborations

Fangxing Li collaborates with notable colleagues such as Kevin Tomsovic and Yao Xu, contributing to a dynamic research environment focused on advancing power system technologies.

Conclusion

Fangxing Li's contributions to power system management through his patents and collaborative efforts highlight his role as an influential inventor in the field. His innovative approaches are paving the way for more efficient and reliable power systems.