Increase of Efficiency of Relay Protection Reliability in Modes with Deep Saturation of Current Transformers Using The Methodology Based on The Application of Artificial Neural Networks

E. Voloshin, A. Voloshin, S. Usachev, A. Ententeev, B. Maksudov, S. Livshits
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引用次数: 6

Abstract

There are different types of tasks in power engineering, which are solved by means of hardware and software complexes [1]. Some of the issues might be resolved within short period using relatively simple algorithms. Other issues require collecting data for estimating tendency of changes in condition of operating equipment by mathematical models. There are tasks, which cannot be solved with the help of mathematical model's synthesis, which is based on the passport or other data about the equipment [2]. This kind of tasks consists of forecasting the technical condition of the equipment for maintenance planning according to the actual equipment state, forecasting of emergency situations, classification of operating modes of the electric power facilities, different types of restoration of initial signals etc.
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基于人工神经网络的方法提高电流互感器深饱和模式下继电保护可靠性效率
电力工程中有不同类型的任务,这些任务是通过硬件和软件综合体来解决的[1]。使用相对简单的算法,一些问题可能在短时间内得到解决。其他问题需要通过数学模型收集数据来估计运行设备状态变化的趋势。有些任务是无法通过数学模型的综合来解决的,而数学模型的综合是基于设备的护照或其他数据[2]。这类任务包括预测设备的技术状况,根据设备的实际状态进行维修计划,预测紧急情况,对电力设施的运行模式进行分类,对不同类型的初始信号进行恢复等。
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