A Novel Method for Inverter Fault Localization in CSC-HVDC System Using DC Current Component

سال انتشار: 1405
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 104

فایل این مقاله در 10 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

JR_MSEEE-6-1_004

تاریخ نمایه سازی: 7 بهمن 1404

چکیده مقاله:

Internal faults within the current source converter–based high-voltage direct current (CSC-HVDC) systems pose serious threats to system reliability and operational security. While integrated protection and control schemes can effectively clear most temporary faults, permanent faults or failures in the control system require accurate localization to enable targeted isolation procedures. Moreover, recurrent transient faults demand timely diagnostic interventions to prevent equipment degradation. This paper focuses on short circuit faults that occur within the inverter stage of CSC-HVDC systems. Considering the converter control dynamics, arm currents are monitored under both forced-alpha operation and normal operating conditions. A novel diagnostic approach is proposed, in which the DC current component is exploited as a distinctive signature to achieve precise arm-level fault localization. The method is computationally simple, does not require high sampling rates, and identifies the fault location within a maximum of two cycles, allowing for isolation before forced-alpha mode is activated. The proposed technique is validated through detailed simulations of the Hydro-Quebec monopolar CSC-HVDC test system in MATLAB/Simulink, demonstrating its effectiveness and rapid response under various fault scenarios.

کلیدواژه ها:

Current Source Converter ، High Voltage Direct Current System ، Inverter Fault ، ۱۲-pulses Converter

نویسندگان

Fatemeh Fallahi Meybodi

Department of Electrical Engineering, Yazd University, Yazd, Iran.

Ahmad Mirzaei

Department of Electrical Engineering, Yazd University, Yazd, Iran.

Hamidreza Toodeji

Department of Electrical Engineering, Yazd University, Yazd, Iran.

مراجع و منابع این مقاله:

لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :
  • M. Kumari and A. Yadav, "An adaptive neuro fuzzy inference ...
  • S. p. Gao, Q. Liu, and G. b. Song, "Current ...
  • M. Muniappan, "A comprehensive review of DC fault protection methods ...
  • H. Darwish, M. Rahman, A. Taalab, and H. Shaaban, "Overcurrent ...
  • C. Buccella, C. Cecati, and H. Latafat, "Digital control of ...
  • H. Li, Y. Xia, Z. Wang, K. Zhang, P. Li, ...
  • H. A. Darwish, A. M. Taalab, and M. Rahman, "Performance ...
  • T. Zheng, X. Liu, and X. Guo, "Analysis of fault-induced ...
  • Y. Liu, X. Zhu, J. Deng, J. Guo, F. Yu, ...
  • S. Yan, Z. He, J. Yang, M. Kong, and M. ...
  • S. Yin and X. Li, "Converter valve-level fault location method ...
  • D. Mu, S. Lin, H. Zhang, and T. Zheng, "A ...
  • S. Lin, D. Mu, L. Liu, Y. Lei, and X. ...
  • M. Tahan, H. Monsef, and S. Farhangi, "A new converter ...
  • A. Pragati, D. A. Gadanayak, and M. Mishra, "Fault detection ...
  • R. Muzzammel and A. Raza, "A support vector machine learning-based ...
  • V. K. Sood, HVDC and FACTS controllers. ۲۰۰۴, pp. ۶۸-۹۳ ...
  • D. Jovcic, High Voltage Direct Current Transmission: converters, systems and ...
  • F. D. Marvasti and A. Mirzaei, "A novel method of ...
  • نمایش کامل مراجع