Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

An Optimized Control Method for Firing Angle of Hybrid Line Commutated Converter During AC Faults
Author:
Affiliation:

1.College of Electrical and Information Engineering, Hunan University, Changsha 410082, China;2.State Grid Wuhu Electric Power Supply Company, Wuhu 241000, China;3.China Railway Construction Heavy Industry Corporation Limited, Changsha 410082, China

Fund Project:

This work was supported in part by the National Key Research and Development Program of China (No. 2021YFB2400900), the Integration Projects of National Natural Science Foundation of China-State Grid Joint Fund for Smart Grid (No. U2166602), the National Natural Science Foundation of China (No. 52207200), and the Science and Technology Innovation Program of Hunan Province (No. 2024RC3113).

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    Abstract:

    The introduction of fully controlled devices to build hybrid line commutated converter (H-LCC) has become a new idea to solve the commutation failure. However, existing H-LCC has not considered the implementation of a targeted firing angle control strategy during AC faults, with the objective of enhancing their power transmission and fault response performance. For this reason, this paper proposes an optimized control method for firing angle of H-LCC, designated as flexible virtual firing (FVF). This method first analyzes the influence of alterations in firing angle on reactive power, commutation process and associated action paths. By combining prediction and dynamic search, it optimizes the natural commutation process through the utilization of dynamic boundary and minimum commutation area difference. This can mitigate the impact of AC faults on H-LCC and DC system, thereby improving power transmission and defense to commutation failure, which is beneficial for improving the stability of AC/DC power grids. Finally, the simulation results in PSCAD/EMTDC verify the effectiveness of the proposed method.

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History
  • Received:February 07,2024
  • Revised:May 04,2024
  • Online: May 27,2025