The adaptability research and evaluation of digital distance protection based on Python and PSCAD

IF 2 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Physical Communication Pub Date : 2024-07-14 DOI:10.1016/j.phycom.2024.102442

Yining Guo

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引用次数: 0

Abstract

With the development of power systems, digital distance protection, as an innovative and cutting-edge technology, plays a crucial role in ensuring the stable operation of the power grid. Due to its high precision, rapidity, and reliability, digital distance protection has become a key component of power system safety. Distance protection is widely used in distribution networks at or below 35 kV. Therefore, studying its adaptability and effectiveness as a remote backup protection can provide an effective foundation for improving grid security.With the utilization of Python and PSCAD, the adaptability of digital distance protection is meticulously examined in the context of low voltage side faults in 110 kV/35 kV transformers, specifically as a remote backup protection measure. The core objective of this investigation is to assess the efficacy of this protection strategy in upholding the safety and reliability of power systems. To achieve this, 3 approaches is employed: theoretical analysis, simulation modeling, and experimental validation. This process allows for a comprehensive evaluation of the performance characteristics and application efficacy of digital distance protection. The insights garnered from this meticulous study offer profound understanding into the strengths and potential limitations of this protection paradigm, serving as a solid foundation for the refinement of existing protection strategies and the enhancement of the overall resilience of power systems. In essence, this article aims to evaluate the effectiveness of digital distance protection as a remote backup protection strategy for faults on the low-voltage side of 110 kV/35 kV transformers. The core objective is to assess the efficacy of this protection strategy in maintaining the safety and reliability of the power system.

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基于 Python 和 PSCAD 的数字距离保护适应性研究与评估

随着电力系统的发展，数字式距离保护作为一项创新的前沿技术，在确保电网稳定运行方面发挥着至关重要的作用。由于其高精度、快速性和可靠性，数字式距离保护已成为电力系统安全的关键组成部分。距离保护广泛应用于 35 千伏及以下的配电网。利用 Python 和 PSCAD，在 110 kV/35 kV 变压器低压侧故障的背景下对数字式距离保护的适应性进行了细致的研究，特别是作为远程后备保护措施的适应性和有效性。这项研究的核心目标是评估这种保护策略在维护电力系统安全性和可靠性方面的功效。为此，我们采用了三种方法：理论分析、模拟建模和实验验证。通过这一过程，可以全面评估数字距离保护的性能特点和应用效果。从这项细致的研究中获得的洞察力让我们对这种保护模式的优势和潜在局限性有了深刻的认识，为完善现有保护策略和提高电力系统的整体恢复能力奠定了坚实的基础。从本质上讲，本文旨在评估数字距离保护作为 110 kV/35 kV 变压器低压侧故障远程后备保护策略的有效性。核心目标是评估这种保护策略在维护电力系统安全性和可靠性方面的功效。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Physical Communication ENGINEERING, ELECTRICAL & ELECTRONICTELECO-TELECOMMUNICATIONS

CiteScore

5.00

自引率

9.10%

发文量

212

审稿时长

55 days

期刊介绍： PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published. Topics of interest include but are not limited to: Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.