基于卡尔曼滤波算法的电能质量检测技术实现  

Power quality detection technology based on Kalman filter algorithm

作　　者：刘元煌 伍智鹏 李天楚 韩武奇 方铭 LIU Yuanhuang;WU Zhipeng;LI Tianchu;∗;HAN Wuqi;FANF Ming(Electric Power Research Institute of Hainan Power Grid Corporation Ltd.,Haikou 570311,China;Key Laboratory of Physical and Chemical Analysis for Electric Power of Hainan Province,Haikou 570311,China)

机构地区：[1]海南电网有限责任公司电力科学研究院,海口570311 [2]海南省电网理化分析重点实验室,海口570311

出　　处：《自动化与仪器仪表》2023年第7期294-298,共5页Automation & Instrumentation

基　　金：南方电网公司科技项目资助《热带智能电网实验室智慧用电量测监测平台升级》(073000KK52200018)。

摘　　要：为提高电能质量的检测精度,提出一种基于自适应卡尔曼滤波的检测方法。首先,构建基于卡尔曼滤波的空间模型,然后引入自适应卡尔曼滤波算法对空间模型中参数Qk进行修正;最后搭建DSP仿真平台对空间模型进行训练与测试。结果表明:相比于传统的卡尔曼滤波算法,基于自适应卡尔曼滤波算法对电能质量扰动信号的敏感性更好,响应速度更快,精准度更高。由此得出,自适应卡尔曼滤波算法在电能检测方面性能更佳。In order to improve the detection accuracy of power quality,a detection method based on adaptive Kalman filtering is proposed.Firstly,a spatial model based on Kalman filter is constructed,and then an adaptive Kalman filter algorithm is introduced to correct the parameter Qk in the spatial model.Finally,a DSP simulation platform is built to train and test the spatial model.The results show that compared with the traditional KF algorithm,the adaptive Kalman filter algorithm has better sensitivity to power quality disturbance signals,faster response speed and higher accuracy.As a result,the adaptive Kalman filter algorithm performs better in energy detection.

关 键 词：卡尔曼滤波 空间模型 自适应卡尔曼滤波算法 电能质量检测 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]