基于数据驱动的电气智能控制技术研究  

Research on Data-Driven Electrical Intelligent Control Technology

作　　者：马艳梅[1] Ma Yanmei(School of Intelligence and Electrical Engineering,Huainan Vocational Technical College,Huainan,Anhui 232001,China)

机构地区：[1]淮南职业技术学院智能与电气工程学院,安徽淮南232001

出　　处：《黑龙江工业学院学报（综合版）》2022年第11期92-97,共6页Journal of Heilongjiang University of Technology(Comprehensive Edition)

基　　金：安徽省高校自然科学基金重点项目“基于智能传感网络和云计算的煤矿配电网运行状态监测关键技术研究”(项目编号:KJ2021A1582)。

摘　　要：针对当前电气设备数量庞大,设备控制滞后性过高的问题,为了更好的提高电气设备运行效果,提出基于数据驱动的电气智能控制技术研究方法。利用数据驱动技术对电气设备运行数据进行采集管理,识别电气设备运行过程中的局部异常数据并约束,根据采集结果进行数据调控和去噪,并对海量数据分类,简化电气设备智能控制步骤。最后通过实验证实,所提方法相较于传统方法,电气设备智能控制的滞后性降低了60%以上,鲁棒性也明显提高,由此证实所提电气智能控制技术效果更好。In order to better improve the operation of electrical equipment,the research method of data-driven electrical intelligent control technology is proposed for the current problem of large number of electrical equipment and high lag of equipment control.The data-driven technology is used to collect and manage the operation data of electrical equipment,identify and constrain local abnormal data during the operation of electrical equipment,regulate and denoise the data according to the collection results,classify the massive data,and simplify the intelligent control steps of electrical equipment.Compared with the traditional methods,the hysteresis of intelligent control of electrical equipment is reduced by more than 60%and the robustness is significantly improved by experiments,which proves that the electrical intelligent control technology proposed in this paper is more effective.

关 键 词：数据驱动 电气设备 智能控制 数据管理 局部异常数据 

分 类 号：TM76[电气工程—电力系统及自动化] TP18[自动化与计算机技术—控制理论与控制工程]