摘 要
电力系统作为现代社会的重要基础设施，其安全稳定运行对经济发展和人民生活具有深远影响，而继电保护装置作为保障电力系统可靠性的核心设备，其性能优劣直接关系到系统的整体安全性。为提升继电保护装置的可靠性，本文针对当前继电保护技术中存在的问题展开深入研究，旨在通过理论分析与实验验证相结合的方法，提出改进措施以优化装置性能。研究首先梳理了国内外继电保护装置的发展现状及存在的不足，发现传统保护装置在复杂电网环境下的适应性较差，且故障诊断精度和响应速度有待提高。基于此，本文引入先进的信号处理算法和人工智能技术，设计了一种新型继电保护方案，该方案能够有效识别微弱故障特征并快速隔离故障区域。通过构建仿真模型和开展实际测试，结果表明所提方案显著提升了继电保护装置的灵敏度、选择性和速动性，同时降低了误动作率。此外，本文还提出了基于大数据分析的继电保护状态评估方法，实现了对装置运行状态的实时监测与预警，为预防性维护提供了科学依据。本研究的主要创新点在于将智能算法与传统继电保护技术深度融合，突破了现有技术在复杂工况下的局限性，为电力系统的智能化发展奠定了基础。研究成果不仅可为继电保护装置的设计与改进提供参考，也为提升电力系统整体可靠性开辟了新路径。关键词：继电保护装置；智能算法；信号处理；故障诊断；状态评估
Abstract
As a critical infrastructure of modern society, the safe and stable operation of power systems has profound implications for economic development and people's daily lives. Relay protection devices, as core equipment ensuring the reliability of power systems, directly affect the overall safety of the system. To enhance the reliability of relay protection devices, this study conducts an in-depth investigation into the existing problems in current relay protection technologies. By integrating theoretical analysis with experimental validation, improvement measures are proposed to optimize device performance. The research begins with a comprehensive review of the development status and deficiencies of relay protection devices both domestically and internationally, revealing that traditional devices exhibit poor adaptability in complex grid environments and require improvements in fault diagnosis accuracy and response speed. In response to these challenges, advanced signal processing algorithms and artificial intelligence technologies are introduced to design a novel relay protection scheme capable of effectively identifying weak fault characteristics and rapidly isolating faulty areas. Through the construction of simulation models and real-world testing, the results demonstrate that the proposed scheme significantly enhances the sensitivity, selectivity, and rapidity of relay protection devices while reducing the rate of false actions. Additionally, a condition assessment method based on big data analysis is proposed, enabling real-time monitoring and early warning of device operating conditions, thereby providing a scientific basis for preventive maintenance. The primary innovation of this study lies in the deep integration of intelligent algorithms with traditional relay protection technologies, overcoming the limitations of existing techniques under complex operating conditions and laying a foundation for the intelligent development of power systems. The research findings not only offer valuable references for the design and improvement of relay protection devices but also open new avenues for enhancing the overall reliability of power systems..
Key Words：Relay Protection Device；Intelligent Algorithm；Signal Processing；Fault Diagnosis；State Assessment
目 录
摘 要 I
Abstract II
第1章 绪论 1
1.1 电力系统继电保护装置的重要性 1
1.2 可靠性分析与改进的研究背景 1
1.3 国内外研究现状综述 2
1.4 本文研究方法与技术路线 2
第2章 继电保护装置可靠性评估方法 3
2.1 可靠性评估的基本概念 3
2.2 常用可靠性评估指标体系 3
2.3 数据采集与统计分析方法 4
2.4 模型构建与仿真验证 4
2.5 实际案例分析 5
第3章 继电保护装置故障模式与影响分析 6
3.1 故障模式的分类与特征 6
3.2 故障原因的深度剖析 6
3.3 故障对系统稳定性的影响评估 7
3.4 关键部件的可靠性分析 7
3.5 提高可靠性的初步对策 8
第4章 继电保护装置可靠性改进策略 9
4.1 改进策略的设计原则 9
4.2 硬件优化方案探讨 9
4.3 软件算法的可靠性提升 10
4.4 智能化技术的应用前景 10
4.5 实施改进策略的经济效益分析 11
结 论 11
参考文献 13
致 谢 14
