摘 要
随着现代电力系统的快速发展和复杂化，继电保护技术作为保障电网安全稳定运行的核心手段，其智能化升级已成为行业研究的重要方向。本文以提升继电保护性能为目标，深入探讨了传统继电保护技术的局限性及其在智能电网环境下面临的新挑战，并结合人工智能、大数据分析及物联网等前沿技术，提出了一种基于多源数据融合的智能化继电保护方案。通过构建实时监测与故障诊断模型，该方案能够显著提高故障识别的准确性和响应速度，同时具备自适应调整能力以应对复杂电网工况。研究采用仿真验证与实际案例分析相结合的方法，证明了所提方案在多种场景下的可行性和优越性。结果表明，智能化继电保护系统不仅能够有效降低误动作率，还能为电网运维提供决策支持。
关键词：继电保护 智能化升级 多源数据融合
Abstract
With the rapid development and complexity of modern power system, relay protection technology, as the core means to ensure the safe and stable operation of power grid, and its intelligent upgrading has become an important direction of industry research. With the goal of improving the performance of relay protection, this paper deeply discusses the limitations of traditional relay protection technology and its new challenges in the smart grid environment, and combines with cutting-edge technologies such as artificial intelligence, big data analysis and Internet of Things, and proposes an intelligent relay protection scheme based on multi-source data fusion. Through the construction of real-time monitoring and fault diagnosis model, this scheme can significantly improve the accuracy and response speed of fault identification, and has the ability of adaptive adjustment to cope with complex power grid conditions. The study uses the combination of simulation verification and real case analysis to prove the feasibility and superiority of the proposed scheme in multiple scenarios. The results show that the intelligent relay protection system can not only effectively reduce the misoperation rate, but also provide decision support for the power grid operation and maintenance.
Keyword:Relay Protection Intelligent Upgrade Multi-Source Data Fusion
目 录
1绪论 1
1.1电力系统继电保护技术的研究背景 1
1.2智能化发展的重要意义与价值 1
1.3国内外研究现状分析 1
2继电保护技术的基础理论与应用 2
2.1继电保护的基本原理与功能 2
2.2传统继电保护技术的应用现状 2
2.3继电保护技术的挑战与局限性 3
3智能化技术在继电保护中的应用 3
3.1智能化技术的核心概念与发展 3
3.2数据驱动的继电保护智能化方案 4
3.3智能算法在故障检测中的应用 4
3.4智能化对继电保护性能的提升 5
4继电保护智能化的关键技术与实现路径 5
4.1人工智能技术在继电保护中的作用 5
4.2物联网与大数据在智能化保护中的应用 6
4.3新型传感器技术对继电保护的支持 6
4.4关键技术的集成与优化策略 7
结论 7
参考文献 9
致谢 10
随着现代电力系统的快速发展和复杂化，继电保护技术作为保障电网安全稳定运行的核心手段，其智能化升级已成为行业研究的重要方向。本文以提升继电保护性能为目标，深入探讨了传统继电保护技术的局限性及其在智能电网环境下面临的新挑战，并结合人工智能、大数据分析及物联网等前沿技术，提出了一种基于多源数据融合的智能化继电保护方案。通过构建实时监测与故障诊断模型，该方案能够显著提高故障识别的准确性和响应速度，同时具备自适应调整能力以应对复杂电网工况。研究采用仿真验证与实际案例分析相结合的方法，证明了所提方案在多种场景下的可行性和优越性。结果表明，智能化继电保护系统不仅能够有效降低误动作率，还能为电网运维提供决策支持。
关键词：继电保护 智能化升级 多源数据融合
Abstract
With the rapid development and complexity of modern power system, relay protection technology, as the core means to ensure the safe and stable operation of power grid, and its intelligent upgrading has become an important direction of industry research. With the goal of improving the performance of relay protection, this paper deeply discusses the limitations of traditional relay protection technology and its new challenges in the smart grid environment, and combines with cutting-edge technologies such as artificial intelligence, big data analysis and Internet of Things, and proposes an intelligent relay protection scheme based on multi-source data fusion. Through the construction of real-time monitoring and fault diagnosis model, this scheme can significantly improve the accuracy and response speed of fault identification, and has the ability of adaptive adjustment to cope with complex power grid conditions. The study uses the combination of simulation verification and real case analysis to prove the feasibility and superiority of the proposed scheme in multiple scenarios. The results show that the intelligent relay protection system can not only effectively reduce the misoperation rate, but also provide decision support for the power grid operation and maintenance.
Keyword:Relay Protection Intelligent Upgrade Multi-Source Data Fusion
目 录
1绪论 1
1.1电力系统继电保护技术的研究背景 1
1.2智能化发展的重要意义与价值 1
1.3国内外研究现状分析 1
2继电保护技术的基础理论与应用 2
2.1继电保护的基本原理与功能 2
2.2传统继电保护技术的应用现状 2
2.3继电保护技术的挑战与局限性 3
3智能化技术在继电保护中的应用 3
3.1智能化技术的核心概念与发展 3
3.2数据驱动的继电保护智能化方案 4
3.3智能算法在故障检测中的应用 4
3.4智能化对继电保护性能的提升 5
4继电保护智能化的关键技术与实现路径 5
4.1人工智能技术在继电保护中的作用 5
4.2物联网与大数据在智能化保护中的应用 6
4.3新型传感器技术对继电保护的支持 6
4.4关键技术的集成与优化策略 7
结论 7
参考文献 9
致谢 10
