This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: City University of Hong Kong. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Wanjun Huang: Innovator in Deep Learning for Power Systems
Introduction
Wanjun Huang is a prominent inventor based in Hong Kong, CN. He has made significant contributions to the field of electrical power systems through his innovative work in deep learning technologies. His expertise lies in developing solutions that enhance the efficiency and reliability of power system operations.
Latest Patents
Wanjun Huang holds a patent for a groundbreaking invention titled "Deep learning-based optimal power flow solution with applications to operating electrical power systems - DeepOPF-V." This invention introduces a deep neural network (DNN)-based voltage-constrained approach for solving the alternating-current optimal power flow (AC-OPF) problem. The DeepOPF-V method effectively determines the operating point of an AC electrical power system. It utilizes two DNNs to separately ascertain voltage magnitudes and voltage phase angles of buses in the system, eliminating the need for cross-over operations between the two networks. This approach significantly reduces computational complexity compared to using a single DNN for both magnitudes and phase angles, thereby achieving high computational efficiency. The remaining variables of the system are computed based on the determined magnitudes and phase angles, leading to a predicted solution for the operating condition. Additionally, a fast post-processing (PP) method is developed to enhance the feasibility of the predicted solution. This PP method employs linear adjustments to refine the predicted solution, ensuring both improved feasibility and rapid execution.
Career Highlights
Wanjun Huang is affiliated with the City University of Hong Kong, where he continues to advance his research and development efforts in the field of electrical engineering. His work has garnered attention for its innovative approach to solving complex power system challenges.
Collaborations
Wanjun Huang collaborates with esteemed colleagues, including Minghua Chen and Xiang Pan, who contribute to his research endeavors and help drive forward the advancements in deep learning applications for power systems.
Conclusion
Wanjun Huang's contributions to the field of electrical power systems through his innovative patent demonstrate his commitment to enhancing operational efficiency using deep learning technologies. His work is paving the way for future advancements in the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
