智能变电站在线监测系统的建设及运行研究

发布时间：2018-03-28 10:04

本文选题：智能变电站　切入点：在线监测　出处：《山东大学》2017年硕士论文

【摘要】：随着电力行业容量的不断加大和整体电网规模的增大,变电站作为能源传输的核心,其运行故障将会对整个电力系统造成巨大的损失,如果处理不当,将会引起巨大的灾难,对正常的生产与生活带来非常大的影响,因此对变电站在线监测技术进行研究,实现可靠、稳定的设备运行状态监测,保证电气设备的正常运行。在在线监测系统建设过程中,最重要的就是实现各类电气设备的在线监测功能,并且根据实际设备的不同需要设置不同的监测方式、监测点与控制开关,使得信息采集、处理、分析等分模块进行。变电站系统状态监测功能的实现能够很大程度上提高系统电气设备运行与管理的整体水平,提高状态监测在维修决策中的作用。对变电站进行在线监测,能够提高各类电气设备运行的可靠性与安全性,有利于社会经济效益的提高。本文首先介绍在线监测系统研究现状,并且在此基础上介绍了变电站中变压器状态监测、高压断路器状态监测等的原理与方式,得出结论使用神经网络与模糊控制方式相结合是未来变压器油内包含气体检测的有效方式和主流趋势,将神经网络与专家系统结合是未来故障诊断的发展趋势。之后分析当前监测系统所使用的分布式结构,主要通过传感器、数据采集器与后台处理器所构成,在线监测系统能够良好的实现对变电站内主变与断路器等电气设备的实时监测。集成之后的系统平台能够更好的实现信息的分散采集与集中处理,并且将处理后信息进行及时公布。针对智能变电站实际运行特点,进行在线监测思路开展、可靠性方案设计、方案选择、整体架构设计等,并且最终实现了基于运行状态、采集数据信息等一体化的智能在线监测平台。最后对实施过程中需要注意的关键环节进行分析与总结,并指出对应的对策总结工程经验。
[Abstract]:With the increasing capacity of the electric power industry and the overall increase of the scale of power grid, the substation as the core of energy transmission, the fault will cause great loss to the whole power system, if not handled properly, will cause a huge disaster, bring great influence on the normal production and life, so the online monitoring technology of substation to achieve reliable, stable, equipment condition monitoring, to ensure the normal operation of electrical equipment. In the process of system construction is to realize the on-line monitoring, on-line monitoring function of all kinds of electrical equipment is the most important, and according to the different needs of the actual equipment set up different monitoring methods, monitoring and control switch, the information collection and processing. Analysis of equal modules. System state monitoring function of substation can greatly improve the operation and management of electrical equipment system The overall level, enhance the role of state monitoring in maintenance decision. The on-line monitoring of transformer substation, can improve the reliability and safety of the operation of all kinds of electrical equipment, is conducive to social economic efficiency. This paper first introduces the research status of online monitoring system, and introduces the state monitoring of transformer substation based on the principle and way high voltage circuit breaker status monitoring, the conclusion using neural network combined with fuzzy control method is effective way to contain gas detection and the trend of transformer oil, combining expert system and neural network and network is the future development trend of fault diagnosis. After the analysis of the distributed structure used by the current monitoring system, mainly through the sensor a, data collector and back-end processor, can achieve on-line monitoring system of the transformer substation main transformer and circuit breaker Real time monitoring device and other electrical equipment. The system can realize the information integration platform after the better dispersion of acquisition and centralized processing, and the processed information published in a timely manner. According to the characteristics of the actual operation of intelligent substation, to carry out on-line monitoring method, reliability design scheme, overall framework design, and finally realized based on operating state, intelligent online monitoring platform for collecting data and information integration. Finally the key in the implementation process are analyzed and summarized, and points out the corresponding countermeasures of summing up the engineering experience.

【学位授予单位】：山东大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM63;TM76

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