综合智慧能源2026，Vol.48Issue(1)：78-84,7.DOI:10.3969/j.issn.2097-0706.2026.01.008
基于大数据技术的分布式发电电能质量分析
Power quality analysis of distributed generation based on big data technology
摘要
Abstract
In the context of the continuous advancement of big data technology and digital grid construction,the intelligent operation of the power grid faces both challenges and opportunities.To fully utilize the vast amount of data accumulated during power system operation,a new big data analysis and mining strategy was proposed in this study.Based on actual operational data from the power system,a big data analysis algorithm and visualization model were developed to conduct multidimensional statistical analysis from the perspectives of fault type and time scale,aiming to understand the operational status of distributed generation grids and the patterns of power quality faults,while further exploring their fault mechanisms.The research results showed that the proposed big data analysis and mining strategy effectively leveraged actual power system operational data,providing an intuitive understanding and analysis of power grid operational patterns and power quality fault characteristics,thereby offering strong technical support for the intelligent operation of distributed generation and high-quality power supply.关键词
分布式发电/电能质量/故障规律/大数据分析/可视化技术Key words
distributed generation/power quality/fault pattern/big data analysis/visualization technology分类
能源科技引用本文复制引用
刘超然,刘玲玲,王凤..基于大数据技术的分布式发电电能质量分析[J].综合智慧能源,2026,48(1):78-84,7.基金项目
云南省基础研究计划青年基金项目(202201AU070127)Youth Foundation of Yunnan Fundamental Research Project(202201AU070127) （202201AU070127）
