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1 out of 7 Years Active: 2021-2024
Title: Innovations of Inventor Daojian Hong
Introduction
Daojian Hong is a notable inventor based in Zhejiang, China. He has made significant contributions to the field of power systems and energy management. With a total of three patents to his name, his work focuses on innovative methods for optimizing power flow and energy storage systems.
Latest Patents
One of his latest patents is titled "Method for intelligently adjusting power flow based on Q-learning algorithm." This method involves converting variables, actions, and goals in a power grid into states, actions, and rewards in a Q-learning algorithm. The process includes selecting actions from an action space, providing immediate rewards based on power flow calculations, and updating Q values in a corresponding table. The method aims to output an optimal unit combination after a series of iterations.
Another significant patent is the "Hierarchical control method for island power grid energy storage system for increasing new energy generation fluctuation." This method implements a rolling dispatch approach based on model predictive control. It considers the response capability of energy storage systems and constructs an objective function for economic optimization. The method ultimately determines charge and discharge plans for lithium battery and supercapacitor energy storage systems.
Career Highlights
Daojian Hong has worked with several prominent companies in the energy sector. He has been associated with State Grid Zhejiang Electric Power Co., Ltd., Taizhou Power Supply Company, and the State Grid Corporation of China. His experience in these organizations has contributed to his expertise in power systems and energy management.
Collaborations
Throughout his career, Daojian Hong has collaborated with notable colleagues, including Guode Ying and Dongbo Zhang. These collaborations have likely enhanced his research and development efforts in the field of energy systems.
Conclusion
Daojian Hong's innovative patents and career in the energy sector highlight his significant contributions to optimizing power systems. His work continues to influence advancements in energy management and storage solutions.