配电系统中智能开关柜的在线监控及其故障诊断

发布时间：2018-01-19 06:30

本文关键词： 智能配电机械特性分合闸速度神经网络专家系统故障诊断　出处：《河北工程大学》2014年硕士论文　论文类型：学位论文

【摘要】：随着我国电力工业的快速发展，迫切需要与各种高性能的大型设备相配套的控制其安全优质运行的相关设备。本文中所论述的智能高压配电开关柜集智能配电、远程抄表、负荷监测控制管理系统、故障报警系统于一体的配电成套装置，实现远程监测配电设备的状态、在线监测控制、故障报警等功能。为了更好的说明了系统的主要功能及其工作原理，针对系统的性能进行了特定的测试。通过对柜内断路器动触头行程等进行测量，进而计算出分合闸平均速度。然后将实际测试值和仪器测量值作对比并加以析，从结果中可以得知此开关柜监测系统运行状态，实现智能开关柜在线监测的功能。基于RBF神经网络的专家系统在故障诊断中的应用中克服了在知识获取和表达上的薄弱环节，只需要领域专家解决问题的实例或范例来训练神经网络，使其在同样输入的情况下神经网络能够得到与专家给出的解答尽可能相同的输出。专家系统将其所具备的知识、经验、推理等多项技能按照一定的规则进行编制，组合成复杂的计算机程序。在充分利用计算机系统的情况下，扩展自身的工作范围，使计算机系统具备自主思考能力，可以应用推理方式提供决策建议。因此在本文中，运用RBF神经网络和人工智能专家诊断系统来进行智能开关柜的故障诊断，将以往的方法作为基础，使用先进的智能化的故障诊断方法，把人工智能的方法运用在本系统中。将测试到的结果进行分析，从结果中可以得知此系统运行状态，，断路器是否出现故障及其故障类型，并根据其产生的故障原理，针对出现的问题进行相应的操作。
[Abstract]:With the rapid development of the electric power industry in China, it is urgent to meet the needs of all kinds of high performance large-scale equipment to control the safety and high quality operation of the relevant equipment. The intelligent high voltage switchgear is discussed in this paper. Remote meter reading, load monitoring and control management system, fault alarm system in one of the complete distribution equipment, remote monitoring and distribution equipment status, on-line monitoring and control. In order to better explain the main functions of the system and its working principle, the performance of the system was specially tested. The dynamic contact stroke of the circuit breaker in the cabinet was measured. Then the average speed of the switchgear is calculated. Then the actual test value and the instrument measurement value are compared and analyzed, and the operating state of the switchgear monitoring system can be obtained from the results. Realize the function of intelligent switchgear on-line monitoring. The application of expert system based on RBF neural network in fault diagnosis overcomes the weakness of knowledge acquisition and expression, and only needs examples or examples of domain experts to solve problems to train neural networks. In the case of the same input, the neural network can get the same output as the solution given by the expert. The expert system will have the knowledge and experience. Reasoning and other skills are compiled according to certain rules, combined into complex computer programs. In the case of making full use of computer systems, expand their scope of work. So that the computer system has the ability to think independently, can use the reasoning method to provide decision-making advice. Therefore, in this paper. The fault diagnosis of intelligent switchgear is carried out by using RBF neural network and artificial intelligence expert diagnosis system. The former method is taken as the basis and the advanced intelligent fault diagnosis method is used. The method of artificial intelligence is applied in this system. The test results are analyzed, from which we can know the operating state of the system, whether the circuit breaker has fault and its fault type. According to the principle of the fault, the corresponding operation is carried out for the problems.
【学位授予单位】：河北工程大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM591

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