输变电设备污秽在线检测系统的设计与实现

发布时间：2018-02-01 11:15

  本文关键词： 输变电设备 电子污区 污秽 在线检测　出处：《电子科技大学》2014年硕士论文　论文类型：学位论文

【摘要】：输变电设备的外绝缘性能对电网运行安全具有重大影响。电力系统中大量使用的绝缘子,其表面污秽并受潮将严重影响绝缘子的电气特性,危及电网的运行安全。随着电网容量、输电线路电压等级的不断提升,加之输电线路周边的环境污染的加剧,输电线路的绝缘设备因外部污染会造成线路故障,引发闪污事故的发生频率较高,造成直接经济损失近百亿元。并且在我国经济的高速发展,用电形势十分紧张的情况下,因污秽引发的线路事故造成不能用简单的经济数据衡量的社会影响,而且污闪事故属于我国目前十分重视的安全生产管理范围,因此,预防、减少污闪事故的发生具有十分重要的意义,目前电力部门也在逐年增加对防污闪工作的投入。随着我国经济高速发展,环境污染日趋突出;电网的扩大发展,也使污闪事故覆盖范围增大,电网的安全运行仍承受着大面积污闪的风险。因此,在建设智能电网的统一规划下,采用光传感器在线方式监测外绝缘设备污秽状况,进而提高电网整体外绝缘水平,才能有效地防止大面积污闪事故的发生,最终实现智能电网的规划要求。本系统采用C/S和B/S结构相结合,数据库选用了SQL Server 2000,实现了输变电设备污秽在线检测。通过输变电设备污秽在线检测系统系统的建设,系统具有如下特点:采用在线盐密监测点取代人工监测点,并自动绘制实时动态电子污区分布图,实现防污管理的智能化;监测输变电设备实时盐密值,掌握四川电网输变电设备的积污规律,进而指导生产部门对输变电设备的状态清扫,以此避免过度检修和检修不足的状况;通过监测的饱和盐密值为已建的输变电设备调整外绝缘爬距提供科学依据;通过测取的饱和盐密划定四川电网污秽等级,为新建的输变电工程提供外绝缘设计依据;通过在线监测点的建设与完善,减少人员登杆作业风险。
[Abstract]:The external insulation performance of transmission and transformation equipment has a significant impact on the safety of power network operation. The surface contamination and moisture will seriously affect the electrical characteristics of insulators which are widely used in power system. It endangers the safety of the power network. With the increasing of the power network capacity, the voltage level of the transmission line and the environmental pollution around the transmission line, the insulation equipment of the transmission line will cause the line fault because of the external pollution. The frequency of causing flash pollution accidents is high, resulting in direct economic losses of nearly 10 billion yuan. And in the rapid economic development of our country, the situation of electricity is very tight. Pollution caused by line accidents can not be measured with simple economic data social impact, and pollution flashover accidents belong to the safety of production management scope that our country attaches great importance to, therefore, prevention. It is of great significance to reduce pollution flashover accidents. At present, the power sector is increasing the investment in pollution flashover prevention work year by year. With the rapid development of economy in China, environmental pollution is becoming more and more prominent. The expansion and development of power grid also increase the coverage of pollution flashover accidents, and the safe operation of power grid still bears the risk of large area pollution flashover. Therefore, under the unified plan of building smart grid. In order to prevent the pollution flashover of large area effectively, optical sensor is used to monitor the pollution condition of external insulation equipment and improve the overall external insulation level of power grid. The system uses C / S and B / S structure to combine, and SQL Server 2000 is used in the database. Through the construction of the pollution on-line detection system of transmission and transformation equipment, the system has the following characteristics: the on-line salt density monitoring point is used to replace the manual monitoring point. Automatic drawing of real-time dynamic electronic pollution distribution map to achieve intelligent anti-pollution management; Monitoring the real time salt density of transmission and transformation equipment, mastering the accumulation rule of transmission and transformation equipment in Sichuan power network, and then guiding the production department to clean the status of transmission and transformation equipment, so as to avoid the condition of overoverhaul and insufficient maintenance; The saturated salt density can provide scientific basis for the adjustment of the outer insulation creep distance of the built transmission and transformation equipment. Based on the saturated salt density measured, the pollution grade of Sichuan power network is determined, which provides the external insulation design basis for the new power transmission and transformation project. Through the construction and improvement of online monitoring points, reduce the risk of personnel landing.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM855
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本文编号：1481727