摘要
针对新型电力系统微弱信号传输过程中存在时滞难以及时高效检测的问题,提出考虑时滞影响的新型电力系统微弱广域信号检测技术。根据考虑时滞影响的新型电力系统数学模型,得到微弱广域信号的状态量与代数量,利用小波变换去除噪声,提取频率特征与幅值特征,基于神经网络建立检测模型。实验结果表明,技术准确率为98.74%、精度率为96.58%、召回率为100%、F1值为93.92%。
Aiming at the problem of time delay in the transmission process of weak signals in the new power system,a new weak wide area signal detection technology considering the impact of time delay is proposed.Based on a new power system mathematical model considering the influence of time delay,the state and algebraic quantities of weak wide area signals are obtained.Wavelet transform is used to remove noise,extract frequency and amplitude features,and establish a detection model based on neural networks.The experimental results show that the technical accuracy of this article is 98.74%,the accuracy rate is 96.58%,the recall rate is 100%,and the F1 value is 93.92%.
作者
杜欣
DU Xin(State Grid Hangzhou Power Supply Company,Hangzhou 310000,China)
出处
《通信电源技术》
2023年第12期42-44,共3页
Telecom Power Technology
关键词
时滞影响
新型电力系统
微弱广域信号
信号检测技术
time delay effect
new power system
weak wide area signal
signal detection technology
