基于智能故障指示器的架空配电网监控管理系统研究

发布时间：2019-06-20 06:19

【摘要】：配电网是电力系统的重要组成部分,由于其结构复杂、分布广泛、绝缘水平不高,加之在技术管理和运行维护上存在较多缺陷,以至于配电线路故障频繁发生。针对这种现象,国内外专家学者提出了很多关于配电线路的故障诊断和定位方法,取得了不错的效果。但现行的诊断方法都是对线路的故障信号进行分析处理,一方面缺乏准确度,另一方面对于现场寻找故障点也起不到帮助作用,因此研究高效的配电网故障监控管理和诊断定位方法具有重要的实用意义。本文创新性的提出了一种基于智能故障指示器的配电网架空线路监控管理系统。该系统是以智能故障指示器作为节点,搭建一个配电架空线路的监控管理网络,实现对配电网架空线路的监控管理。不同于传统的故障诊断和定位方法,本文提出的系统主要通过外挂在线路上的指示器,对线路运行情况进行实时采集,采用特殊设计的前端传感器精确地捕捉故障信号,通过有效的信息处理方法提取故障信息特征,确定故障类型,并通过无线通讯终端统一将线路信息上传至中心主站。当线路发生故障时,智能故障指示器能够利用电场确认、延时检测等判据躲避线路上的冲击电流、线路重合闸电流、线路初次送电电流的影响,大幅提高指示器动作的准确率,而且通过LED指示灯,为现场工作人员寻找故障点提供帮助。本文给出的配电网架空线路监控管理系统主要有两大特点:第一点是线路运行信息的实时性和准确性。由于是指示器直接采集而非对线路运行信号的间接处理,因此在通讯保持畅通的情况下基本可以达到线路运行信息的实时性和准确性;第二点是可以实现为现场工作人员缩小巡查范围并指示故障类型。由于指示器的LED可以根据故障类型采用不同的闪烁方式,因此通过是否闪烁以及闪烁类型等信息,可以为现场工作人员减少大量巡查和诊断工作。为验证监控管理系统的效果,本文分别采用实际应用案例和模拟仿真案例分别进行测试。测试结果显示,本文提出的系统对于提升配电网架空线路的供电可靠性有非常大的帮助,同时,可以有效提升经济效益,具有客观的投资回报率。
[Abstract]:Distribution network is an important part of power system. Because of its complex structure, wide distribution, low insulation level and many defects in technical management and operation and maintenance, distribution line faults occur frequently. In view of this phenomenon, experts and scholars at home and abroad have put forward a lot of fault diagnosis and location methods for distribution lines, and have achieved good results. However, the current diagnosis methods are all the analysis and processing of the fault signal of the line, on the one hand, the lack of accuracy, on the other hand, it can not help to find the fault point on the spot, so it is of great practical significance to study the efficient fault monitoring and management and diagnosis and location methods of distribution network. In this paper, an intelligent fault indicator based overhead line monitoring and management system is proposed. The system takes the intelligent fault indicator as the node, builds a monitoring and management network of the distribution overhead line, and realizes the monitoring and management of the overhead line of the distribution network. Different from the traditional fault diagnosis and location method, the system proposed in this paper mainly collects the operation of the line in real time through the indicator hanging on the line, uses the specially designed front-end sensor to capture the fault signal accurately, abstracts the fault information feature through the effective information processing method, determines the fault type, and uploads the line information to the central main station through the wireless communication terminal. When the line fails, the intelligent fault indicator can use electric field confirmation, delay detection and other criteria to avoid the impact current on the line, line reclosing current, line initial transmission current, greatly improve the accuracy of the indicator action, and through the LED indicator light, to provide help for the field staff to find the fault point. The monitoring and management system of overhead line in distribution network has two main characteristics: the first is the real-time and accuracy of line operation information. Because it is the direct acquisition of the indicator rather than the indirect processing of the line operation signal, the real-time and accuracy of the line operation information can be basically achieved under the condition that the communication remains smooth; the second point is that the inspection range can be narrowed and the fault type can be indicated for the field staff. Because the LED of the indicator can adopt different flicker modes according to the fault type, a large number of inspection and diagnosis work can be reduced for the field staff by whether or not flicker and flicker type information. In order to verify the effect of monitoring and management system, this paper uses practical application cases and simulation cases to test respectively. The test results show that the system proposed in this paper is very helpful to improve the power supply reliability of overhead lines in distribution network, at the same time, it can effectively improve the economic benefits and has an objective rate of return on investment.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM75

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