ACCURACY ESTIMATION FOR OPERATING CHARACTERISTICS NEUROMODELING OF THE OVERCURRENT PROTECTION IN A THREE PHASE MAINS

Sergey O. Ivanov, Aleksandr A. Lariukhin, Maxim V. Nikandrov, Leonid A. Slavutskii

DOI: 10.47026/1810-1909-2021-1-68-77

Key words

neural network modeling, elementary perceptron, overcurrent protection, three-phase electrical mains.

Annotation

Modern electric power facilities-stations and high-voltage substations have become digital objects with the active use of high-speed local networks directly involved in the technological process. Management, analysis and control of information exchange in the digital substation of the power system require the development of new tools and approaches. For these purposes, machine learning methods can be used, in particular, the artificial neural networks. The paper presents the results of neural network modeling of the operation of the overcurrent protection – as a variant of the information exchange analysis. An elementary perceptron is used as a neural network with the simplest structure. The optimized structure of the neural network and estimates of the accuracy of the neural network algorithm are given, depending on the size of the training sample (from 1000 to 50000 records), the number of training epochs. It is shown that the analysis of the neural network algorithm errors encountered during testing of the neural network enables to estimate the threshold (the setting value) current protection depending on the size of the training sample. It is found that the recognition of the protection trigger threshold in neural network modeling is violated only when the all three phase currents in electrical mains are close to the threshold. The possibilities of improving the proposed approach and its use for detecting anomalies in the information exchange and operation of secondary equipment of digital substations of the power system are discussed.

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Information about the authors

Sergey O. Ivanov – Senior Lecturer, Math and Hardware Information Systems Department, Chuvash State University, Russia, Cheboksary (v101-11@mail.ru).

Aleksandr A. Lariukhin – Deputy Director of Project Management, LLC «iGRIDS» ltd., Russia, Cheboksary (laruhin@igrids.com).

Maxim V. Nikandrov – Candidate of Technical Sciences, Director, LLC «iGRIDS» ltd., Russia, Cheboksary (nixmak@mail.ru).

Leonid A. Slavutskii – Doctor of Physical and Mathematical Sciences, Professor of Management and Computer Science in Technical Systems Department, Chuvash State University, Russia, Cheboksary (lenya@slavutskii.ru; ORCID: https://orcid.org/0000-0001-6783-2985).

For citations

Ivanov S.O., Lariukhin A.A., Nikandrov M.V., Slavutskii L.A. ACCURACY ESTIMATION FOR OPERATING CHARACTERISTICS NEUROMODELING OF THE OVERCURRENT PROTECTION IN A THREE PHASE MAINS. Vestnik Chuvashskogo universiteta, 2021, no. 1, pp. 68–77. DOI: 10.47026/1810-1909-2021-1-68-77 (in Russian).

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