Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Dynamic State Estimation Based Protection for Large-scale Renewable Energy Transmission Lines
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1.School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China;2.State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102209, China;3.China Electric Power Research Institute, State Grid Corporation of China, Beijing 100192, China

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This work was supported by National Natural Science Foundation of China-State Grid Corporation Joint Fund for Smart Grid (No. U2066210).

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    Abstract:

    The development of low-carbon energy systems and renewable energy sources (RESs) are critical to solving the energy crisis around the world. However, renewable energy generation control strategies lead to fault characteristics such as fault current amplitude limitation and phase angle distortion. Focusing on large-scale renewable energy transmission lines, the sensitivity of traditional current differential protection and distance protection may be reduced, and there is even the risk of maloperation. Therefore, a suitable transmission line model is established, which considers the distributed capacitance. Afterward, a novel dynamic state estimation based protection (DSEBP) for large-scale renewable energy transmission lines is proposed. The proposed DSEBP adopts instantaneous measurements and additional protection criteria to ensure the quick action and reliability. Finally, faults are identified by checking the matching degree between the actual measurements and the established transmission line model. The performance of the proposed DSEBP is verified through PSCAD/EMTDC and real-time digital simulator (RTDS) hardware-in-loop tests. The results demonstrate that the proposed DSEBP can identify various types of faults quickly and reliably. Meanwhile, the proposed DSEBP has a better capability to withstand fault resistance and disturbance.

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History
  • Received:June 17,2024
  • Revised:October 29,2024
  • Adopted:
  • Online: February 13,2026
  • Published:
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