Mingle Li

Title: Mingle Li - Innovator in Power Grid Optimization

Introduction

Mingle Li is a prominent inventor based in Xi'an, China. He has made significant contributions to the field of power grid operation through his innovative methods. His work focuses on enhancing the efficiency and reliability of power systems, particularly in the context of renewable energy integration.

Latest Patents

Mingle Li holds a patent for a "Method for automatic adjustment of power grid operation mode based on reinforcement learning." This method provides a solution for the automatic adjustment of power grid operation modes by utilizing an expert system designed to rely on the control sequence of thermal power units. The system enables automatic decision-making for power grid operation mode adjustments. By extracting a sensitivity matrix from historical operating data, a foundational thermal power unit control sequence is derived. Additionally, an overload control strategy for lines within the expert system is devised. The reinforcement learning model optimizes the thermal power unit control sequence, refining it to provide the expert system with an optimized control sequence for automatic decision-making. This innovative approach addresses the challenges of balancing and absorption caused by fluctuations in supply and demand in high-proportion renewable energy power systems.

Career Highlights

Mingle Li is affiliated with Xi'an Jiaotong University, where he contributes to research and development in power systems. His academic background and expertise have positioned him as a key figure in the advancement of technologies that support sustainable energy solutions.

Collaborations

Mingle Li has collaborated with notable colleagues, including Tao Ding and Zhiqin Tian. Their joint efforts have furthered research in the field of power grid optimization and renewable energy integration.

Conclusion

Mingle Li's innovative work in power grid operation and his patent on automatic adjustment methods highlight his significant contributions to the field. His research not only enhances the efficiency of power systems but also supports the transition to renewable energy sources.