Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Voltage Interaction Evaluation in Embedded DC Transmission System
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1College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China;2College of Information Science and Technology and Artificial Intelligence, Nanjing Forestry University, Nanjing 210037, China;3School of Electrical Engineering, Southeast University, Nanjing 210096, China;4Economic Research Institute, State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210024, China

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This work was supported by the National Natural Science Foundation of China (No. 52377085). The author thanks State Grid Jiangsu Electric Power Company for providing valuable application scenarios of the embedded DC transmission system in the actual power grid, as well as the associated planning and design schemes.

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    Abstract:

    Voltage interaction between the rectifier and inverter buses is recognized as a critical factor in embedded direct current (EDC) transmission systems, where at least two ends are within a single synchronous AC network, as it significantly affects power flow distribution, voltage stability, and power system planning. Conventional methods for evaluating voltage interaction are insufficient to accurately represent the complicated interplay between responses of the AC-DC network and the internal controllers within EDC transmission systems. To address this issue, this paper proposes an analytical calculation method of a novel voltage interaction evaluation index for various types of EDC transmission systems, which enables precise evaluation of the voltage interaction between the rectifier bus and inverter bus in an EDC transmission system. The proposed method comprehensively accounts for the influence of voltage interaction under small disturbances through the AC network, as well as the influence of voltage interaction under the same disturbance between converter buses through internal controller responses. Numerical simulations are used to analyze the parametric dependence of the index, and its accuracy is demonstrated through dynamic simulation.

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History
  • Received:November 29,2024
  • Revised:April 14,2025
  • Adopted:
  • Online: March 30,2026
  • Published:
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