Jiangsu, China

Zhuxiang Yao


Average Co-Inventor Count = 10.0

ph-index = 1


Company Filing History:


Years Active: 2016

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1 patent (USPTO):Explore Patents

Title: Innovator Zhuxiang Yao: Advancing Preventive Control in Power Systems

Introduction: Zhuxiang Yao, an esteemed inventor based in Jiangsu, China, has made significant contributions to the field of power system management. With a focus on the dynamic identification and preventive control of power equipment affected by calamities, his innovative approach enhances the reliability and efficiency of power systems in challenging environments.

Latest Patents: Zhuxiang Yao holds a patent titled "Method of Power System Preventive Control Candidate Measures Identification Self-Adaptive to External Environment." This patent introduces a method that enables real-time identification of power stations and equipment during calamities. It also assesses preventive control measures that may lose or regain control capabilities or whose control range or costs have changed. The system conducts automatic online identification, adapting to real-time external conditions and ensuring decisions are feasible and economical.

Career Highlights: Throughout his career, Yao has been associated with prominent companies, including Jiangxi Electric Power Company and the State Grid Electric Power Research Institute. His work has significantly influenced the sector, showcasing his expertise in electrical engineering and innovative solutions for power system challenges.

Collaborations: Zhuxiang Yao has collaborated with other notable professionals, including Xuecheng Jin and Haohao Wang. Together, they have tackled complex issues within the power industry, leveraging their combined knowledge and skills to drive advancements in preventive control measures.

Conclusion: Zhuxiang Yao's contributions to power system innovations exemplify the vital role inventors play in enhancing industrial processes. His patent, which adapts to external environments, marks a significant leap forward in preventive control methodologies, ultimately aiming to make power systems more resilient and efficient in the face of calamities.

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