Company Filing History:
Years Active: 2022
Title: Xiaozhe Wang: Innovator in Power System Security Assessment
Introduction
Xiaozhe Wang is a notable inventor based in Montréal, Canada. He has made significant contributions to the field of power system security through his innovative patent. His work focuses on enhancing the reliability and safety of power systems, which is crucial in today's energy-dependent world.
Latest Patents
Xiaozhe Wang holds a patent for an "Online static security assessment under the QSS model." This method applies a quasi steady-state (QSS) model to conduct an online static security assessment (SSA) of a power system. The input to this method includes a post-contingency state of the power system for various contingencies. For each contingency, the method calculates a steady-state voltage magnitude for each bus in the power system by solving a system of equations. These equations are formulated based on a time-domain stability model and include nonlinear differential algebraic equations (DAE) with both continuous and discrete variables. The method evaluates the calculated voltage magnitude against a predefined limit, classifies each contingency as secure, critical, or insecure, and determines appropriate control actions based on this classification. Xiaozhe Wang has 1 patent to his name.
Career Highlights
Xiaozhe Wang is currently employed at Bigwood Technology Incorporated, where he continues to develop innovative solutions for power system security. His expertise in the field has positioned him as a valuable asset to his company and the industry at large.
Collaborations
Xiaozhe has collaborated with esteemed colleagues, including Hsiao-Dong Chiang and Na Dong. Their combined efforts contribute to advancing research and development in power system technologies.
Conclusion
Xiaozhe Wang's contributions to power system security assessment demonstrate his commitment to innovation and safety in the energy sector. His work not only enhances the reliability of power systems but also sets a foundation for future advancements in the field.