SIST Researchers Publish 3 Papers in PESGM 2019

Recently, three papers from SIST Assistant Professor Liu Yu’s research group were accepted by the 2019 IEEE Power and Energy Society General Meeting (PESGM, the most prestigious and the largest conference sponsored by IEEE Power and Energy Society (PES).

First year graduate student Wang Binglin adopted the dynamic state estimation method to protect the VSC-HVDC transmission lines in the paper ‘VSC-HVDC Transmission Line Protection Based on Dynamic State Estimation.’ By accurately constructing the physical model of the line under protection, the proposed method not only considered the measurement noise, but also ensured consistency between the actual and estimated measurements during severe external faults (shown in Fig. 1). Therefore, the method could effectively avoid mal-operation during severe external faults compared to legacy line differential protection scheme.

Fig. 1. Current estimation results during severe external fault

Lu Dayou, another first-year master’s degree student, proposed a generalized Bergeron model and a novel fault location method for transmission lines in the paper ‘Three Phase Transmission Line Fault Location Based on the Generalized Bergeron Model’. The proposed method only required 3 ms data to locate faults. Compared to traditional Bergeron model-based fault location method, the proposed method did not have make any assumptions on parameter matrices of transmission lines and therefore presented better fault location accuracy (as shown in Fig. 2).

Fig. 2. Fault location results of generalized Bergeron model based method and traditional Bergeron model based method

Li Yunting, a recent undergraduate Class of 2018 graduate, proposed a new method to calculate synchrophasors based on IRLS robust state estimation algorithm in the paper ‘Synchrophasor Calculation Algorithm Based on Robust State Estimation.’ Compared to the existing synchrophasor calculation algorithm in IEEE C37.118 standard, the proposed method demonstrated better immunity to measurement noise and bad data (as shown in Fig. 3).

Fig. 3. Synchophasor calculation error of IRLS robust state estimation based method and existing IEEE C37.118 standard based method

The three papers were all completed by students in the research group as first authors and Assistant Professor Liu Yu as the corresponding author. ShanghaiTech University is the first responsible institution. The work was supported by start-up funding from ShanghaiTech, National Natural Science Foundation of China, Shanghai Pujiang Program and Key Laboratory of Control of Power Transmission and Conversion (Ministry of Education).