基于无线传感网的智能电网故障监控系统设计与实现
|
摘要
智能电网的故障监控,在电力系统中具有重要意义。为了解决智能电网故障监控准确性差的问题,提出并设计了基于无线传感网的智能电网故障监控系统。对于硬件部分,利用无线传感网技术对其进行设计,分析智能电网故障监控系统的功能模块,利用智能电网的网关将数据进行传输与交换,并利用服务器对智能电网监控系统的数据进行汇总,完成系统硬件设计;对于软件部分,根据指定的智能电网运行时间与监控设备通信来读取电网中的数据,并对故障的误差进行初步处理,并计算其平均值,最终实现智能电网故障监控系统设计。实验结果表明,所设计的系统能够更准确对智能电网的故障进行监控,在实验测试时,智能电网的通信数据传输率在600 kB～800 kB之间,故障电流的响应时间在15 s～50 s之间,验证了提出方法具有较强的可靠性。
Fault monitoring of smart grids is of great significance in power systems.In order to solve the problem of poor accuracy of smart grid fault monitoring,a smart grid fault based surveillance system design based on wireless sensor network was proposed and designed.The wireless sensor network technology is used to design it.For the hardware part,the function module of the smart grid fault monitoring system is analyzed,the data is transmitted and exchanged by the gateway of the smart grid,and the data of the smart grid monitoring system is summarized by the server;For the software part,the data in the power grid is read according to the specified smart grid running time and the monitoring equipment communication,and the error of the fault is preliminarily processed,and the average value is calculated,and finally the smart grid fault monitoring system is designed.The experimental results show that the proposed method can monitor the fault of the smart grid more accurately.In the experimental test,the communication data transmission rate of the smart grid is between 600 KB and 800 KB,and the response time of the fault current is between 15 s and 50 s.The proposed method has strong reliability.
Fault monitoring of smart grids is of great significance in power systems.In order to solve the problem of poor accuracy of smart grid fault monitoring,a smart grid fault based surveillance system design based on wireless sensor network was proposed and designed.The wireless sensor network technology is used to design it.For the hardware part,the function module of the smart grid fault monitoring system is analyzed,the data is transmitted and exchanged by the gateway of the smart grid,and the data of the smart grid monitoring system is summarized by the server;For the software part,the data in the power grid is read according to the specified smart grid running time and the monitoring equipment communication,and the error of the fault is preliminarily processed,and the average value is calculated,and finally the smart grid fault monitoring system is designed.The experimental results show that the proposed method can monitor the fault of the smart grid more accurately.In the experimental test,the communication data transmission rate of the smart grid is between 600 KB and 800 KB,and the response time of the fault current is between 15 s and 50 s.The proposed method has strong reliability.
引文
[1] 杨世海,李涛,陈铭明,等.基于数据挖掘的智能电网在线故障诊断与分析[J].电子设计工程,2017,25(1):136-139.
[2] 胡江涛.基于云平台的电力监控视频故障管理系统设计[J].自动化与仪器仪表,2017,(10):75-76.
[3] 张光南.一种电网监测系统的设计与实现[J].自动化与仪器仪表,2016,(4):138-139.
[4] 李刚,焦谱,文福拴,等.基于偏序约简的智能电网大数据预处理方法[J].电力系统自动化,2016,40(7):98-106.
[5] 陈伟彪,陈亦平,姚伟,等.基于多源信息时间序列匹配的电网故障诊断方法[J].电力建设,2016,37(12):134-142.
[6] 池永胜.基于ARM的含分布式电源配电网故障定位的研究[J].电源技术,2016,40(1):207-208.
[7] 唐晓璇,郭少勇,亓峰.面向智能电网架空线的传感器故障容忍机制[J].电子与信息学报,2016,38(3):700-706.
[8] 李博,高志远.人工智能技术在智能电网中的应用分析和展望[J].中国电力,2017,50(12):136-140.
[9] 刘雨欣,张琼洁,张景景,等.基于Map/Reduce的电力监控系统规则挖掘技术研究[J].控制工程,2017,24(10):2156-2160.
[10] 赵晨雪,陶顺,肖湘宁.基于电能质量检测系统电压暂降信息的故障定位估计方法[J].电网技术,2016,40(2):642-648.
[11] 田书,闫林凤,尚鹏辉.基于故障分量采样值的配电网纵差保护研究[J].计算机仿真,2016,33(7):184-188.
[12] 李秀林,刘启胜,罗禹.电网串联补偿区外间隙自触发故障仿真分析[J].科技通报,2016,32(4):148-151.
[13] 吴伟丽.磁暴诱发电网故障灾害风险分析研究进展[J].科学技术与工程,2016,16(9):135-141.
[14] 刘彦君,王清心,丁家满,等.基于概率盒的电网故障诊断方法研究[J].计算机测量与控制,2016,24(2):53-56.
[15] 吴凡,孙静.基于多智能体技术的智能电网信息管理系统研究[J].现代电力,2017,34(2):87-94.
[2] 胡江涛.基于云平台的电力监控视频故障管理系统设计[J].自动化与仪器仪表,2017,(10):75-76.
[3] 张光南.一种电网监测系统的设计与实现[J].自动化与仪器仪表,2016,(4):138-139.
[4] 李刚,焦谱,文福拴,等.基于偏序约简的智能电网大数据预处理方法[J].电力系统自动化,2016,40(7):98-106.
[5] 陈伟彪,陈亦平,姚伟,等.基于多源信息时间序列匹配的电网故障诊断方法[J].电力建设,2016,37(12):134-142.
[6] 池永胜.基于ARM的含分布式电源配电网故障定位的研究[J].电源技术,2016,40(1):207-208.
[7] 唐晓璇,郭少勇,亓峰.面向智能电网架空线的传感器故障容忍机制[J].电子与信息学报,2016,38(3):700-706.
[8] 李博,高志远.人工智能技术在智能电网中的应用分析和展望[J].中国电力,2017,50(12):136-140.
[9] 刘雨欣,张琼洁,张景景,等.基于Map/Reduce的电力监控系统规则挖掘技术研究[J].控制工程,2017,24(10):2156-2160.
[10] 赵晨雪,陶顺,肖湘宁.基于电能质量检测系统电压暂降信息的故障定位估计方法[J].电网技术,2016,40(2):642-648.
[11] 田书,闫林凤,尚鹏辉.基于故障分量采样值的配电网纵差保护研究[J].计算机仿真,2016,33(7):184-188.
[12] 李秀林,刘启胜,罗禹.电网串联补偿区外间隙自触发故障仿真分析[J].科技通报,2016,32(4):148-151.
[13] 吴伟丽.磁暴诱发电网故障灾害风险分析研究进展[J].科学技术与工程,2016,16(9):135-141.
[14] 刘彦君,王清心,丁家满,等.基于概率盒的电网故障诊断方法研究[J].计算机测量与控制,2016,24(2):53-56.
[15] 吴凡,孙静.基于多智能体技术的智能电网信息管理系统研究[J].现代电力,2017,34(2):87-94.