Flores Agustín, Quiles Eduardo, García Emilio, Morant Francisco, Correcher Antonio
Área de Control Peninsular, CFE, Instituto Tecnológico de Mérida, Departamento de Eléctrica, C10 No. 312-A Fraccionamiento Gonzalo Guerrero, 97118 Mérida, YUC, Mexico.
Departamento de Ingeniería de Sistemas y Automática, Universitat Politècnica de València, C. Vera 14, 46022 Valencia, Spain.
ScientificWorldJournal. 2014;2014:176463. doi: 10.1155/2014/176463. Epub 2014 Sep 17.
This work proposes a new method for fault diagnosis in electric power systems based on neural modules. With this method the diagnosis is performed by assigning a neural module for each type of component comprising the electric power system, whether it is a transmission line, bus or transformer. The neural modules for buses and transformers comprise two diagnostic levels which take into consideration the logic states of switches and relays, both internal and back-up, with the exception of the neural module for transmission lines which also has a third diagnostic level which takes into account the oscillograms of fault voltages and currents as well as the frequency spectrums of these oscillograms, in order to verify if the transmission line had in fact been subjected to a fault. One important advantage of the diagnostic system proposed is that its implementation does not require the use of a network configurator for the system; it does not depend on the size of the power network nor does it require retraining of the neural modules if the power network increases in size, making its application possible to only one component, a specific area, or the whole context of the power system.
这项工作提出了一种基于神经模块的电力系统故障诊断新方法。使用这种方法时，通过为构成电力系统的每种类型的组件分配一个神经模块来进行诊断，无论该组件是输电线路、母线还是变压器。母线和变压器的神经模块包括两个诊断级别，这两个级别考虑了内部和备用开关及继电器的逻辑状态，但输电线路的神经模块除外，它还有第三个诊断级别，该级别考虑故障电压和电流的波形图以及这些波形图的频谱，以便验证输电线路是否确实发生了故障。所提出的诊断系统的一个重要优点是，其实施不需要使用系统的网络配置器；它不依赖于电网的规模，并且如果电网规模增加也不需要对神经模块进行重新训练，从而使其应用可以仅针对一个组件、一个特定区域或整个电力系统环境。
