Company Filing History:
Years Active: 2023-2025
Title: Innovations of Lipeng Zhu in Power Grid Stability
Introduction
Lipeng Zhu is a notable inventor based in Changsha, China, recognized for his contributions to the field of power grid stability. With a total of three patents to his name, Zhu has developed innovative methods that enhance the reliability and efficiency of power systems.
Latest Patents
Zhu's latest patents include a "Method and device for labeling transient voltage stability samples in power grid based on semi-supervised learning." This invention provides a systematic approach to label stability statuses of transient operating scenarios using voltage time series datasets. The method involves obtaining transient voltage time series trajectories, preliminary labeling, and utilizing semi-supervised learning techniques to refine the labeling process.
Another significant patent is the "Method for assessing short-term voltage stability of power grid based on synchronous spatio-temporal information learning." This method focuses on assessing voltage stability by performing time-domain simulations and extracting temporal response trajectories. It employs a graph convolutional neural network algorithm to create a model that evaluates short-term voltage stability driven by synchronized spatio-temporal information.
Career Highlights
Lipeng Zhu is affiliated with Hunan University, where he continues to advance research in power systems. His work is pivotal in addressing challenges related to voltage stability, which is crucial for maintaining the integrity of power grids.
Collaborations
Zhu collaborates with esteemed colleagues, including Zhikang Shuai and Jiayong Li, contributing to a dynamic research environment that fosters innovation in power system technologies.
Conclusion
Lipeng Zhu's innovative patents and research efforts significantly contribute to the field of power grid stability. His work not only enhances the understanding of voltage stability but also provides practical solutions for improving power system reliability.