摘要
针对矩形波调制下的闪变信号模型,提出优化能量算子以改善闪变包络提取精准度。将最大旁瓣衰减速率(MSLD)截断窗作为原始母窗,通过卷积运算构造频谱性能突出的MSLD自卷积窗(MSLD-SCW)函数。基于谱线插值原理推导出2阶SCW函数的参数修正公式,据此实现闪变幅值与频率参数的处理与识别。与对照组算法的仿真结果表明,研究组在单频调制、多频调制、含有整数次谐波与次/超同步分量、基频波动及含高斯噪声等工况下,均保持较高的两大闪变包络参数识别准确性。最后,将组合优化算法应用于新疆某地区实际电网闪变参数识别,验证其工程实用性。
Aiming at the flicker signal model under rectangular wave modulation,an optimized energy operator is proposed to improve the accuracy of flicker envelope extraction. The MSLD truncation window is used as the original parent window,and the MSLD selfconvolution window function with outstanding spectrum performance is constructed by convolution computation. Based on the principle of spectral line interpolation,the parameter correction formula of the 2-order SCW function is derived,and the processing and identification of flicker amplitude and frequency parameters are realized. The simulation results with the control group algorithm indicate that the study group can effectively maintain higher detection accuracy of the two flicker envelope parameters under the conditions of single frequency rectangular wave modulation,multi-frequency modulation,integer harmonic and sub/supersynchronous components,fundamental frequency fluctuation,and Gaussian noise. At the end of the paper,the combinational optimization algorithm is applied to identify the flicker parameters of an actual power grid in a certain area of Xinjiang,and its engineering practicability is verified.
作者
张超
邱衍江
王维庆
张新燕
Zhang Chao;Qiu Yanjiang;Wang Weiqing;Zhang Xinyan(Guangzhou Power Supply Bureau of Guangdong Power Grid,Co.,Ltd.,Guangzhou,Guangdong 510620,China;Jiangmen Power Supply Bureau of Guangdong Power Grid,Co.,Ltd.,Jiangmen,Guangdong 529030,China;Engineering Research Center for Renewable Energy Power Generation&Grid Technology Approved by Education Ministry for Its Establishment under College of Electrical Engineering,Xinjiang University,Urumqi 830047,China)
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2022年第10期312-318,共7页
Acta Energiae Solaris Sinica
基金
国家科学自然基金(51667018)。
关键词
风电
电压闪变
能量算子
包络提取
参数识别
自卷积窗
谱线插值
wind power
voltage flicker
energy operator
envelope extraction
parameter identification
self-convolution window
spectral line interpolation
