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智能电网中无线传感器网络通信链路可靠性置信区间预测

孙伟 陆伟 李奇越 陈良锋 穆道明 王建平

电力系统自动化2017,Vol.41Issue(4):29-34,77,7.
电力系统自动化2017,Vol.41Issue(4):29-34,77,7.DOI:10.7500/AEPS20160627011

智能电网中无线传感器网络通信链路可靠性置信区间预测

Reliability Confidence Interval Prediction for Communication Link of Wireless Sensor Network in Smart Grid

孙伟 1陆伟 1李奇越 1陈良锋 2穆道明 1王建平1

作者信息

  • 1. 合肥工业大学电气与自动化工程学院,安徽省合肥市230009
  • 2. 中国科学院合肥物质科学研究院,安徽省合肥市230000
  • 折叠

摘要

Abstract

Real-time prediction of wireless link quality is a main problem which needs to be solved in the smart grid station area to guarantee the transmission reliability of wireless communication applications.The superposition of nonlinear and nonstationary sequences expressed by signal to noise ratio (SNR) time series of wireless link quality is the main factor that affects the prediction accuracy.For this reason,reliability confidence interval prediction is proposed by approximately decoupling the wireless link SNR sequence into nonlinear and non-stationary random sequences.And the wavelet neural network is used to develop the wireless link SNR sequence prediction model and the variance of non-stationary random sequence prediction model.Based on the model prediction results,this paper calculates the upper bound and lower bound of the wireless link reliability confidence interval.In the actual smart grid environment,the correctness and effectiveness of the proposed algorithm are verified,and the practicality of the proposed algorithm is illustrated through an application example.

关键词

智能电网/无线链路质量预测/小波神经网络/信噪比/置信区间

Key words

smart grid/prediction of wireless link quality/wavelet neural network/signal to noise ratio/confidence interval

引用本文复制引用

孙伟,陆伟,李奇越,陈良锋,穆道明,王建平..智能电网中无线传感器网络通信链路可靠性置信区间预测[J].电力系统自动化,2017,41(4):29-34,77,7.

基金项目

国家自然科学基金资助项目(51307041).This work is supported by National Natural Science Foundation of China (No.51307041). (51307041)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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