600MW火力发电厂电气侧状态监测研究与实践
[Abstract]:With the interconnection of modern large power grid, the structure of grid becomes more and more complex, and the reliability of each link of power supply and power supply is required more and more. On the premise of not adding power equipment, improving the operation reliability of existing equipment can effectively improve the reliability of power supply equipment and ensure the safe and stable operation of power system. In the power plant, the main means to improve the power supply reliability of the power plant system is to overhaul the basic power supply equipment, in order to improve the reliability of the whole power supply system. How to carry out maintenance efficiently and safely is a major scientific research direction nowadays. The current maintenance methods can not prevent the budding electrical equipment and the operation of power plants in the future. The on-line condition monitoring system can evaluate the real-time state of electric power equipment. Through mastering the real-time state of electric power equipment, it can get the safe state of its running time. The corresponding measures can be implemented before the equipment failure, and the hidden danger of safety can be eliminated. Avoid an electrical accident. According to the real-time equipment configuration of 600MW thermal power plant, this paper collects the real-time state information of each equipment detected, analyzes and processes the collected state information, and studies the real-time on-line state monitoring of the equipment in this power plant. The main work is as follows: (1) the on-line monitoring equipment installed in the electric equipment of 600MW thermal power plant, including transformer, generator, circuit breaker, disconnector, lightning arrester and capacitive equipment, is introduced in general. The general situation of on-line monitoring in a 600MW power plant is emphatically introduced. According to the signal acquisition and flow direction of transformer, an easy-to-operate information acquisition system and working platform are designed. (2) the design principle of infrared monitoring technology is introduced. The working principle, the operation method and the monitoring and diagnosis method in the actual operation are introduced, and how to use infrared monitoring to judge the hidden trouble state of the equipment is introduced in view of each electric power equipment. (3) combined with the operation practice of 600MW power plant, This paper introduces the application cases of infrared detection technology, such as the butterfly valve of transformer, the bad contact of generator rod, the bad internal contact of circuit breaker, the bad press connection of disconnecting switch knife edge, and the damp inside of lightning arrester, etc. This paper explains how to judge the hidden danger of equipment safety on-line monitoring equipment, and provides guidance for maintenance.
【学位授予单位】:华北电力大学(北京)
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TM621
【参考文献】
相关期刊论文 前10条
1 宋亚奇;周国亮;朱永利;李莉;王刘旺;王德文;;云平台下输变电设备状态监测大数据存储优化与并行处理[J];中国电机工程学报;2015年02期
2 袁浩;屈刚;庄卫金;何鸣一;陈爱林;张海东;;电网二次设备状态监测内容探讨[J];电力系统自动化;2014年12期
3 傅质馨;赵敏;袁越;宗炫君;张程飞;;基于无线传感网络的海上风电机组状态监测系统构建方法[J];电力系统自动化;2014年07期
4 汤宝平;黄庆卿;邓蕾;刘自然;;机械设备状态监测无线传感器网络研究进展[J];振动.测试与诊断;2014年01期
5 刘永欣;师峰;姜帅;席亚克;宋宁希;张仑山;;智能变电站继电保护状态监测的一种模糊评估算法[J];电力系统保护与控制;2014年03期
6 周国亮;宋亚奇;王桂兰;朱永利;;状态监测大数据存储及聚类划分研究[J];电工技术学报;2013年S2期
7 李鹏;黄新波;赵隆;朱永灿;;智能输电线路状态监测代理的研究与设计[J];中国电机工程学报;2013年16期
8 朱林;王鹏远;石东源;;智能变电站通信网络状态监测信息模型及配置描述[J];电力系统自动化;2013年11期
9 王德文;邸剑;张长明;;变电站状态监测IED的IEC 61850信息建模与实现[J];电力系统自动化;2012年03期
10 郭鹏;David Infield;杨锡运;;风电机组齿轮箱温度趋势状态监测及分析方法[J];中国电机工程学报;2011年32期
相关博士学位论文 前7条
1 李琦;基于多源数据的交通状态监测与预测方法研究[D];吉林大学;2013年
2 刘继伟;基于大数据的多尺度状态监测方法及应用[D];华北电力大学;2013年
3 尤明懿;基于状态监测数据的产品寿命预测与预测维护规划方法研究[D];上海交通大学;2012年
4 张大波;基于状态监测与系统风险评估的电力设备维修及更新策略研究[D];重庆大学;2012年
5 陈侃;基于多模型决策融合的刀具磨损状态监测系统关键技术研究[D];西南交通大学;2012年
6 刘永斌;基于非线性信号分析的滚动轴承状态监测诊断研究[D];中国科学技术大学;2011年
7 黄伟国;基于振动信号特征提取与表达的旋转机械状态监测与故障诊断研究[D];中国科学技术大学;2010年
相关硕士学位论文 前1条
1 白洋;面向大数据的电力设备状态监测信息聚合研究[D];昆明理工大学;2014年
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