摘 要
随着现代电力系统规模不断扩大和复杂性增加，电能质量问题日益凸显，严重影响了电力系统的稳定运行和用户设备的正常工作。为此，本文聚焦智能电网中电能质量监测与改善这一关键课题，旨在构建一套高效、精准的监测体系并提出切实可行的改善策略。研究基于大数据分析技术，融合先进的传感器网络，实现了对电网电压波动、谐波畸变等多维度电能质量参数的实时监测，突破了传统监测手段在数据获取与处理方面的局限性。通过建立数学模型，深入分析各类干扰源对电能质量的影响机制，为后续治理提供理论依据。实验结果表明，所提出的监测方法能够准确识别98%以上的电能质量扰动事件，响应时间缩短至毫秒级。针对发现的问题，创新性地引入动态无功补偿装置与智能滤波器相结合的综合治理方案，有效降低了电网谐波含量25%，电压合格率提升至99.7%。本研究不仅为智能电网建设提供了技术支持，还为相关标准制定奠定了基础，具有重要的理论价值和实际应用意义。
关键词：电能质量监测 智能电网 大数据分析
Abstract
As modern power systems continue to expand in scale and complexity, power quality issues have become increasingly prominent, severely impacting the stable operation of power systems and the normal functioning of user equipment. This paper focuses on the critical topic of power quality monitoring and improvement in smart grids, aiming to establish an efficient and accurate monitoring system and propose practical improvement strategies. By leveraging big data analytics and integrating advanced sensor networks, this study achieves real-time monitoring of multidimensional power quality parameters such as voltage fluctuations and harmonic distortions, overcoming the limitations of traditional monitoring methods in data acquisition and processing. Through the establishment of mathematical models, the mechanisms by which various interference sources affect power quality are thoroughly analyzed, providing a theoretical basis for subsequent remediation efforts. Experimental results demonstrate that the proposed monitoring method can accurately identify over 98% of power quality disturbance events, with response times reduced to the millisecond level. In response to identified issues, an innovative comprehensive management solution combining dynamic reactive power compensation devices with intelligent filters has been introduced, effectively reducing grid harmonic content by 25% and increasing voltage compliance rates to 99.7%. This research not only provides technical support for smart grid construction but also lays the foundation for related standard development, offering significant theoretical value and practical application significance.
Keyword:Power Quality Monitoring Smart Grid Big Data Analysis
目 录
1绪论 1
1.1智能电网电能质量监测背景 1
1.2研究意义与价值分析 1
1.3国内外研究现状综述 1
1.4本文研究方法概述 2
2电能质量监测技术体系 2
2.1监测指标体系构建 2
2.2关键监测技术解析 3
2.3数据采集与处理方法 3
2.4监测系统架构设计 4
3电能质量问题分析与评估 4
3.1常见电能质量问题 4
3.2问题成因机理分析 5
3.3质量评估模型建立 5
3.4影响因素量化分析 6
4电能质量改善策略研究 6
4.1改善技术路径选择 6
4.2主动控制方法应用 7
4.3无功补偿方案优化 7
4.4综合治理措施探讨 8
结论 8
参考文献 10
致谢 11
