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Abstract <p>The paper presents a fault localization algorithm for medium-voltage networks of electric power systems and complexes. This approach utilizes information derived from an analysis of the power direction of the zero-sequence components, ensuring high accuracy of fault location. The proposed method demonstrates resilience to the impact of distributed generation, making it a promising option for modern power systems with a high share of renewable energy sources. Its key advantage is reliance on minimal infrastructure, as the transmission of a single binary signal between relay protection devices is sufficient to ensure correct operation. The paper presents the theoretical foundations of the method, tests it using Sincal and MATLAB software, and suggests applications. A simulation confirmed the method’s effectiveness, reducing the time required to locate faults by 40–60% compared to traditional approaches.</p>

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Fault Location Methods in 6–35 kV Distribution Networks with Various Neutral Grounding Modes

  • 期刊论文

  • 发表日期：

    2025年9月1日

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  • I. N. Shushpanov,
  • V. V. Romanova,
  • A. K. Suslov

摘要

Abstract

The paper presents a fault localization algorithm for medium-voltage networks of electric power systems and complexes. This approach utilizes information derived from an analysis of the power direction of the zero-sequence components, ensuring high accuracy of fault location. The proposed method demonstrates resilience to the impact of distributed generation, making it a promising option for modern power systems with a high share of renewable energy sources. Its key advantage is reliance on minimal infrastructure, as the transmission of a single binary signal between relay protection devices is sufficient to ensure correct operation. The paper presents the theoretical foundations of the method, tests it using Sincal and MATLAB software, and suggests applications. A simulation confirmed the method’s effectiveness, reducing the time required to locate faults by 40–60% compared to traditional approaches.