基于混合式拓扑的智能化电能质量检测系统  

Intelligent power quality detection system based on hybrid topology

作　　者：黄应敏 胡超强 邹科敏 尤占山 HUANG Ying-min;HU Chao-qiang;ZOU Ke-min;YOU Zhan-shan(R&D Center,Guangzhou Panyu Cable Group Co.,Ltd.,Guangzhou 511442,China)

机构地区：[1]广州番禺电缆集团有限公司研发中心

出　　处：《电子设计工程》2019年第23期68-72,共5页Electronic Design Engineering

基　　金：广东省自然科学基金(2017KY3667);2017年番禺区创新领军团队项目(2017-R01-7)

摘　　要：针对当前电能质量检测系统普遍存在处理速度慢、计算复杂、监控困难、智能化不足等问题,文中提出了一种基于混合式拓扑的智能化电能质量检测系统。将混合拓扑理论应用于检测系统中,通过多种拓扑的综合应用,提高了电能质量检测效率、优化检测资源的配置。在该系统的检测中部分引入相关的智能算法,利用数据挖掘、人工智能算法对电能质量检测数据进行分析处理,对电能数据进行检测的同时也实现了对电能异常数据进行识别与分类。该系统与传统系统相比,具有效率高、监控简单、准确性强等优点。数据测试结果表明,该系统对电能质量检测正确率可达99.5%,能够较好的完成对电能质量的检测与分析工作。Aiming at the problems of slow processing speed,complex calculation,difficult monitoring and insufficient intellectualization in current power quality detection system,an intellectualized power quality detection system based on hybrid topology is proposed in this paper.The hybrid topology theory is applied to the detection system.Through the comprehensive application of multiple topologies,the detection efficiency of power quality is improved and the allocation of detection resources is optimized.In the detection part of the system,the related intelligent algorithms are introduced.Data mining and artificial intelligence algorithms are used to analyze and process the power quality detection data.At the same time,the power data are detected and the abnormal data are recognized and classified.Compared with the traditional system,the system has the advantages of high efficiency,simple monitoring and high accuracy.The result of data test shows that the accuracy of the system for power quality detection can reach 99.5%,and it can better complete the work of power quality detection and analysis.

关 键 词：电能质量 混合式拓扑 智能检测 异常识别 

分 类 号：TM91[电气工程—电力电子与电力传动]