基于遗传算法的电力工程异常数据智能识别方法研究  

Research on intelligent recognition method of power engineering abnormal data based on genetic algorithm

作　　者：邹丹 ZOU Dan(Sichuan Star Electric Power Co.,Ltd.,Suining 629000,China)

机构地区：[1]四川明星电力股份有限公司,四川遂宁629000

出　　处：《中国高新科技》2025年第1期72-74,共3页

摘　　要：文章介绍了一种利用遗传算法进行数据辨识的方法。通过对异常数据进行辨识,提高了整个算法的全局搜索能力,从而提高了整个算法的效率。通过MATLAB的模拟实验,证明了文中提出的方法能够实现对电力工程中出现的异常数据自动辨识。将遗传算法应用于图像检索中,不仅提高了图像的正确率,而且时间上缩短了60%,达到了检索性能和检索效率之间的均衡。This article introduces a method of using genetic algorithm for data identification.By identifying abnormal data,the global search capability of the entire algorithm has been improved,thereby enhancing the efficiency of the entire algorithm.Through MATLAB simulation experiments,it has been proven that the method proposed in this paper can achieve automatic identification of abnormal data in power engineering.Applying genetic algorithm to image retrieval not only improves the accuracy of images,but also reduces time by 60%,achieving a balance between retrieval performance and efficiency.

关 键 词：电力工程数据 异常数据识别技术 遗传算法 

分 类 号：TM73[电气工程—电力系统及自动化]