Tianshu Bi

Title: Innovator Spotlight: Tianshu Bi - Advancing Measurement Techniques in Power Systems

Introduction:

In the ever-evolving field of power systems, where efficient energy management is becoming increasingly crucial, innovators like Tianshu Bi are contributing significantly to breakthrough technologies. With a remarkable portfolio of 23 patents, Tianshu Bi, based in Beijing, China, has been instrumental in developing cutting-edge solutions related to sampling rate conversion and disturbance identification. Let's take a closer look at his latest patents and his notable achievements at North China Electric Power University.

Resampling Technique for Arbitrary Sampling Rate Conversion:

One of Tianshu Bi's recent patents focuses on a resampling method for flexible sampling rate conversion in broadband frequency measurement devices. This algorithmic innovation aims to meet the diverse requirements of different sampling rates. By analyzing the frequency responses of the filter in the resampling model and considering the design criterion, Bi has developed a fractional delay filter design model based on the window function approach. With this approach, subfilter coefficients are derived using the least square method, ensuring accurate resampling for a wide range of applications.

Synchrophasor Measurement-Based Disturbance Identification Method:

Addressing the challenges presented by varying penetration levels of renewable energy, Tianshu Bi has devised a synchrophasor measurement-based disturbance identification method. This patent introduces a differential Teager-Kaiser energy operator (dTKEO)-based algorithm, improving the accuracy of multiple-disturbance detection. Additionally, Bi leverages feature extraction through the integrated additive angular margin (AAM) loss and the long short-term memory (LSTM) network. This approach enables effective handling of intra-class similarity and inter-class variance of disturbances, particularly in scenarios with high penetration of renewable energy. Bi also introduces a multi-stage weighted summing (MSWS) loss-based criterion for adaptive data window determination and fast disturbance pre-classification. Moreover, he has established a re-identification model based on feature similarity, presenting a novel solution for identifying previously unknown disturbances, a challenge faced by existing machine learning algorithms.

Contributions at North China Electric Power University:

Tianshu Bi serves as an esteemed member of the North China Electric Power University. His work has significantly contributed to the university's research and development initiatives within the power systems domain. Collaborating with accomplished colleagues such as Hao Liu and Ke Jia, Bi has further advanced the knowledge and practical applications of power system measurement techniques.

Conclusion:

Tianshu Bi's remarkable achievements in the field of power systems highlight his dedication to innovation and problem-solving. Through his patents and contributions to the North China Electric Power University, he has demonstrated the immense potential for advancing measurement techniques in power systems. As a leading expert in the field, Tianshu Bi continues to push the boundaries of what is possible, enabling a more efficient and sustainable future for energy management.