基于BP神经网络的煤矿静止无功发生器研制  

Development of Static Var Generator in Coal Mine Based on BP Neural Network

作　　者：李忠奎 

机构地区：[1]煤炭科学技术研究院有限公司,北京100013 [2]煤炭资源高效开采与洁净利用国家重点实验室,北京100013 [3]北京市煤矿安全工程技术研究中心,北京100013

出　　处：《煤矿机械》2017年第3期153-155,共3页Coal Mine Machinery

基　　金：煤炭科学技术研究院技术创新基金项目(2014CX25;2015CX04)

摘　　要：针对煤矿井下电网无功不足和谐波严重的问题,通过BP神经网络技术研究及应用,研发了煤矿井下电网静止无功发生器。该设备采用并联方式连接到电网,方便现场安装和维护。该装置用于煤矿电网,能够实现节能降耗,抑制电网电压波动和闪变,治理电网高次谐波,提高电网功率因数和电网电能质量等目的。For the problem of reactive power shortage and harmonic serious problem in coal mine underground power network, and through the research and application of BP neural network technology,the static var generator is designed. The device is connected in parallel to the power grid, which is convenient for the installation and maintenance of the site. The device can be used in coal mine power grid, which can realize energy saving and consumption reduction, restrain the voltage fluctuation and flicker of the grid, control the high order harmonics, improve the power factor and the power quality of the power grid.

关 键 词：煤矿 无功补偿 BP神经网络 谐波 无功检测 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]