利用气象等影响要素的电力系统故障元件识别与故障原因分析

发布时间：2018-10-23 12:56

【摘要】：快速识别电力系统中的故障元件和分析引起故障的原因,有助于尽快恢复系统的正常运行和减少停电损失。气象等要素是导致电力系统故障的主要原因之一,但如何在故障诊断中适当计及这些要素的影响是一个有待深入研究的问题。在此背景下,比较系统地考虑了气象等要素对电力系统故障的影响,在现有故障诊断方法的基础上利用故障发生时刻的气象等外部要素情况分析导致故障的原因。首先,根据发生故障前后的电力系统拓扑结构,识别停电区域,确定候选故障元件;在此基础上,以继电保护和断路器状态为信息源,构建了电力系统故障诊断的一种简化模型,从候选的故障元件中确定故障元件。之后,以从污秽监测系统、雷电监测系统、气象预警系统等外部环境监测设备获得的信息与数据以及所确定的故障元件为故障影响要素分析的信息源,分析导致故障的外部影响因素,以帮助系统运行人员快速定位和排除故障,尽快恢复系统正常运行。
[Abstract]:Rapid identification of fault elements in power system and analysis of the causes are helpful to restore the normal operation of the system and reduce the loss of power outage as soon as possible. Meteorology is one of the main causes of power system failure, but how to consider the influence of these factors in fault diagnosis is a problem to be studied deeply. In this context, the influence of meteorological factors on power system faults is systematically considered. Based on the existing fault diagnosis methods, the causes of the faults are analyzed by using the external factors such as weather at the time of fault occurrence. First of all, according to the topology of power system before and after the failure, the power failure area is identified, and the candidate fault elements are determined. On this basis, the relay protection and the state of the circuit breaker are used as the information source. A simplified model of power system fault diagnosis is constructed to determine fault elements from candidate fault elements. After that, the information and data obtained from external environmental monitoring equipment, such as pollution monitoring system, lightning monitoring system, meteorological early warning system, and the fault elements identified are used as the information sources for the analysis of the factors affecting the failure. In order to help the system operators locate and troubleshoot the faults quickly and restore the normal operation of the system as soon as possible, the external influencing factors are analyzed.
【作者单位】： 江苏省电力公司电力科学研究院;浙江大学电气工程学院;文莱科技大学电机与电子工程系;国网江苏省电力公司电力调度控制中心;
【基金】：国家科技支撑计划资助项目(2011BAA07B02) 国网江苏省电力公司科技项目(JS2014002)
【分类号】：TM73

【参考文献】

相关期刊论文 前10条

1 陈永进,任震,黄雯莹;考虑天气变化的可靠性评估模型与分析[J];电力系统自动化;2004年21期

2 熊小伏;王尉军;于洋;沈智健;程韧俐;戴志勇;;多气象因素组合的输电线路风险分析[J];电力系统及其自动化学报;2011年06期

3 马丽婵;郑晓泉;;电力系统外绝缘污秽状态在线监测技术分析[J];电网技术;2007年S1期

4 王佳明;刘文颖;张建立;;恶劣天气下的复杂电网连锁故障在线预警[J];电网技术;2012年05期

5 陈家宏;张勤;冯万兴;方玉河;;中国电网雷电定位系统与雷电监测网[J];高电压技术;2008年03期

6 薛禹胜;吴勇军;谢云云;文福拴;董朝阳;赵俊华;鞠平;;停电防御框架向自然灾害预警的拓展[J];电力系统自动化;2013年16期

7 吴文可;文福拴;薛禹胜;周华锋;李晓露;;基于多源信息的延时约束加权模糊Petri网故障诊断模型[J];电力系统自动化;2013年24期

8 何剑;程林;孙元章;王鹏;;计及天气预测的电力系统运行可靠性短期评估[J];电力系统保护与控制;2010年10期

9 熊小伏;李磊;方丽华;彭嵩;方嵩;沈智健;;基于可靠性和气象因素的配电网短期维修决策方法[J];电力系统保护与控制;2013年20期

10 周子冠;白晓民;李文锋;李再华;许婧;李晓s，

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