文献类型：期刊文献

中文题名：智能微电网电力负荷的小波域检测

英文题名：Wavelet Domain Detection for Power Load of Smart Microgrid

作者：杨仁增 肖迎群 张良 彭智育

第一作者：杨仁增

机构：[1]贵州省电力大数据重点实验室(贵州理工学院)

第一机构：贵州理工学院大数据学院

年份：2018

卷号：31

期号：7

起止页码：72-76

中文期刊名：广东电力

外文期刊名：Guangdong Electric Power

收录：CSTPCD

基金：贵州省科技基金项目(黔科合基础[2017]1074)

语种：中文

中文关键词：智能微电网;谐波污染;小波变换;多分辨率分析;负荷检测

外文关键词：smart microgrid;harmonic pollution;wavelet transform;multi-resolution analysis;load detection

摘要：为满足微电网逆变器的嵌入式数字控制系统快速检测微电网负荷类型的需要,提出一种基于Daubechies离散小波的微电网负荷检测策略。该策略基于时频域分析方法,对采样信号进行离散小波域多分辨分解,构造采样信号的小波域畸变率计算模型,通过选择适当的小波函数计算负载电流的小波域畸变率,对微电网负荷类型进行快速辨识。MATLAB仿真和F28335DSP实验结果验证了小波域电力负荷检测策略的可行性和有效性。
In order to satisfy requirement for rapid detection on load types of the microgrid by the embedded digital control system of the inverter,this paper proposes a kind of detection strategy for microgrid load based on Daubechies discrete wavelet.This strategy is based on time frequency domain analysis,processes sampled signals by using the wavelet multi-resolution method and constructs the calculation model for wavelet domain distortion factor of sampled signals.By means of choosing suitable wavelet function,the wavelet domain distortion factor of load current can be calculated so as to rapidly identify load types of the microgrid.Results of MATLAB simulation and F28335 DSP experiment prove feasibility and effectiveness of the proposed detection strategy for wavelet domain power load.