基于神经网络的继电保护设备健康状况分析模型

Health Analysis Model of Relay Protection Equipment Based on Neural Network

继电保护设备是电力系统安全稳定运行的重要保障,一旦发生各种缺陷,将严重威胁电力系统安全稳定运行。因此,利用神经网络技术,通过多种数据处理方法,建立了一个继电保护设备的健康状况模型,解决了各种继电保护设备健康状况主要依靠人工经验判断、对各种隐性缺陷不能及时发现、无法实现状态检修的难题。

Relay protection equipment is an important guarantee for the safe and stable operation of power system.Once various defects occur,it will seriously threaten the safe and stable operation of power system.Therefore,a model of the health status of relay protection equipment has been established by various data processing methods using neural network technology.The health condition of various relay protection equipment is mainly determined by manual experience,and the problems of not discovering various hidden defects in time and not being able to achieve state maintenance are solved.