Improvement of the technical excellence of multiparameter relay protection by combining the signals of the measuring fault detectors using artificial intelligence methods

Abstract

The features of the dielectric rod defects and the rod-electrod defects of polymer insulators were investigated by using the developed complex method of contactless remote diagnostics of high-voltage insulators health, which includes the initial detection of local areas with elevated electric field gradients as well as measurement of a set of partial discharges characteristics. The radiation of extra-large partial discharges was detected and partial discharges features were investigated. According to the measurement results, a diagram was constructed for the electro-physical processes that accompany the emission of extralarge partial discharges; and the reasons for their occurrence were established. Statement of the taskThe use of the information approach in RP involves the multiple implementation of simulation of the electrical network and the protected object in normal and

Development of the logical part of the intellectual multi-parameter relay protection

“…The generally accepted method of increasing the sensitivity of RP and the recognition of emergency conditions is to expand the number of observed parameters and is associated with the construction of multi-parameter RP [6][7][8][9]13,18]. However, it is difficult to organize decision-making procedures with a large number of observed parameters and there are no unambiguous implementation methods for that.…”

“…To organize the logical part (LP) of RP, it is proposed to use voting schemes with combining the logical signals of vector A on the principle of "2 out of 3" [18,19]. For this, three identical "OR" blocks are used, providing redundancy in information processing.…”

“…In order to further increase reliability, the "1 out of 2" principle was used. It does not affect the achieved maximum sensitivity and does not violate the essence of combining information from FDs [5,18]. This approach implies the redundancy of the system of logical elements, united by the principle of "2 out of 3" and supplemented by the logic "1 out of 2" (Figure 7).…”

Neural net without deep learning: signal approximation by multilayer perceptron

“…Artificial neural networks (ANN) [1,2], machine learning and artificial intelligence (AI) methods [3][4][5] are increasingly being used for the analysis of random processes and signals [6,7], in particular in smart energy systems [8][9][10][11][12]. The multilayer perceptron (MLP) is the basis of neural net algorithms and, when learning "with a teacher", is the simplest feed forward neural network [1,13].…”

Neural network in a “sliding window” for power grids signals structural analysis

“…If there is no aperiodic component, only odd harmonics are present in the signal. Intelligent electronic devices (IEDs) may react incorrectly to a distorted signal, because of which false disconnections may occur in operating modes and in the event of an emergency, disconnection of a damaged line may occur with a significant delay or not at all [6][7][8]. Various digital signal processing (DSP) methods based on discrete Fourier transform (DFT), as well as adaptive filtering, have been widely used in IED to filter nonlinear distortions [9].…”