摘 要
电力系统短路故障是影响电网安全稳定运行的重要因素，其分析与保护策略研究对提升电力系统的可靠性具有重要意义。本文针对电力系统中短路故障的特性及其保护需求，提出了一种基于多源数据融合的短路故障诊断与保护方法。研究首先通过分析不同类型的短路故障特征，构建了包含电流、电压及谐波分量的多维特征向量，并结合大数据分析技术实现故障模式的精准识别。在此基础上，设计了一种自适应保护算法，该算法能够根据实时电网状态动态调整保护定值，从而有效应对复杂工况下的短路故障问题。仿真结果表明，所提方法在故障定位精度和保护动作速度方面均优于传统方法，尤其在高渗透率分布式电源接入场景下表现出显著优势。
关键词：短路故障诊断 多源数据融合 自适应保护算法
Abstract
The short-circuit fault of power system is an important factor affecting the safe and stable operation of power grid, and its analysis and protection strategy research are of great significance to improve the reliability of power system. Based to the characteristics of short circuit fault in power system, a short circuit fault diagnosis and protection method based on multi-source data fusion. Firstly, by analyzing different types of short-circuit fault characteristics, the multi-dimensional feature vector including current, voltage and harmonic components is constructed, and the accurate identification of fault mode is realized combined with big data analysis technology. Based on this, an adaptive protection algorithm is designed, which can dynamically adjust the protection value according to the real-time power grid state to effectively deal with the short circuit fault problem under complex working conditions. The simulation results show that the proposed method is better than the traditional method in fault location accuracy and protection action speed, especially in high penetration distributed power access scenarios.
Keyword:Short Circuit Fault Diagnosis Multi-Source Data Fusion Adaptive Protection Algorithm
目 录
1绪论 1
1.1电力系统短路故障的研究背景 1
1.2短路故障分析与保护策略的意义 1
1.3国内外研究现状综述 1
1.4本文研究方法与技术路线 2
2短路故障的基本理论与特性分析 2
2.1短路故障的类型与成因 2
2.2短路电流的计算方法 2
2.3故障暂态过程及其特征 3
2.4不同电压等级下的短路特性 3
3短路故障的检测与诊断技术 4
3.1故障信号采集与处理方法 4
3.2基于人工智能的故障识别技术 4
3.3故障定位算法的研究与应用 5
3.4实时监测系统的构建与优化 5
4电力系统短路保护策略研究 6
4.1传统保护装置的工作原理 6
4.2新型保护技术的发展与应用 6
4.3分布式电源接入对保护策略的影响 7
4.4综合保护方案的设计与实现 7
结论 8
参考文献 9
致谢 10
电力系统短路故障是影响电网安全稳定运行的重要因素，其分析与保护策略研究对提升电力系统的可靠性具有重要意义。本文针对电力系统中短路故障的特性及其保护需求，提出了一种基于多源数据融合的短路故障诊断与保护方法。研究首先通过分析不同类型的短路故障特征，构建了包含电流、电压及谐波分量的多维特征向量，并结合大数据分析技术实现故障模式的精准识别。在此基础上，设计了一种自适应保护算法，该算法能够根据实时电网状态动态调整保护定值，从而有效应对复杂工况下的短路故障问题。仿真结果表明，所提方法在故障定位精度和保护动作速度方面均优于传统方法，尤其在高渗透率分布式电源接入场景下表现出显著优势。
关键词：短路故障诊断 多源数据融合 自适应保护算法
Abstract
The short-circuit fault of power system is an important factor affecting the safe and stable operation of power grid, and its analysis and protection strategy research are of great significance to improve the reliability of power system. Based to the characteristics of short circuit fault in power system, a short circuit fault diagnosis and protection method based on multi-source data fusion. Firstly, by analyzing different types of short-circuit fault characteristics, the multi-dimensional feature vector including current, voltage and harmonic components is constructed, and the accurate identification of fault mode is realized combined with big data analysis technology. Based on this, an adaptive protection algorithm is designed, which can dynamically adjust the protection value according to the real-time power grid state to effectively deal with the short circuit fault problem under complex working conditions. The simulation results show that the proposed method is better than the traditional method in fault location accuracy and protection action speed, especially in high penetration distributed power access scenarios.
Keyword:Short Circuit Fault Diagnosis Multi-Source Data Fusion Adaptive Protection Algorithm
目 录
1绪论 1
1.1电力系统短路故障的研究背景 1
1.2短路故障分析与保护策略的意义 1
1.3国内外研究现状综述 1
1.4本文研究方法与技术路线 2
2短路故障的基本理论与特性分析 2
2.1短路故障的类型与成因 2
2.2短路电流的计算方法 2
2.3故障暂态过程及其特征 3
2.4不同电压等级下的短路特性 3
3短路故障的检测与诊断技术 4
3.1故障信号采集与处理方法 4
3.2基于人工智能的故障识别技术 4
3.3故障定位算法的研究与应用 5
3.4实时监测系统的构建与优化 5
4电力系统短路保护策略研究 6
4.1传统保护装置的工作原理 6
4.2新型保护技术的发展与应用 6
4.3分布式电源接入对保护策略的影响 7
4.4综合保护方案的设计与实现 7
结论 8
参考文献 9
致谢 10
