• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2013, Vol. 34 ›› Issue (7): 63-67.

• 输配电技术 • 上一篇    下一篇

变电站噪声预测和仿真分析

李永明1,王玉强1,徐禄文2,沈婕3   

  1. 1.输配电装备及系统安全与新技术国家重点实验室(重庆大学),重庆市 400044; 2.重庆市电力科学试验研究院,重庆市 401123; 3. 重庆市电力公司市区供电局,重庆市 400014
  • 出版日期:2013-07-01
  • 作者简介:李永明(1964),男,博士,副教授,从事工程电磁场数值分析与电力系统电磁兼容和电磁环境保护工作,E-mail:cqliym@cqu.edu.cn; 王玉强(1986),男,硕士研究生,研究方向为电力系统电磁兼容和环境保护,E-mail:wyq1996wyq@163.com; 徐禄文(1968),男,本科,高级工程师,从事电力系统电磁兼容和噪声工程控制工作; 沈婕(1963),女,本科,高级工程师,从事电力系统电磁兼容工作。

Audible Noise Prediction and Simulation Analysis in Substation

LI Yongming1,WANG Yuqiang1,XU Luwen2,SHEN Jie3   

  1. 1.State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044,China;2.Chongqing Electric Power Test and Research Institute,Chongqing 401123,China; 3.Urban Power Supply Bureau of Chongqing Electric Power company,Chongqing 400014,China
  • Online:2013-07-01

摘要:

随着社会的发展,变电站噪声越来越受到人们的关注,因此有必要对变电站噪声进行研究。首先利用声级计对重庆和尚山110 kV变电站的噪声进行测量,并利用灰色GM(1,1)方法对变电站噪声进行预测,可以得到每月噪声的变化情况;然后利用径向基函数(radical basis function, RBF)神经网络对不同温度、距离的噪声进行预测。最后利用RBF神经网络对不同温度和变压器运行负荷时的噪声进行计算,为新建变电站的设计提供参考。

关键词: 变电站, 可听噪声, 预测, 径向基函数神经网络, GM(1,1)模型

Abstract:

With the development of society, the audible noise in substation has been paid more and more attention, so it is necessary to study the substation’s audible noise. Firstly, the noise of 110 kV Heshangshan Substation in Chongqing was measured with sound level meter, and the audible noise in substation was predicted by using GM(1,1) model, with which the monthly variation of the noise can be obtained. Then, the noise in different temperatures and distances was predicted by using radical basis function (RBF) neural network. Finally, the audible noise in different temperatures and operation loads of transformer was calculated with using RBF neural network, which could provide references for the design of new substations.

Key words: substation, audible noise, prediction, radical basis function (RBF) neural network, GM(1,1) model