The study of health and quality of operation of the transformer equipment electrical systems

Author:

Denisova A. R.1,Spasov D. P.1,Galyautdinova A. R.1,Ivanova V. R.1

Affiliation:

1. Kazan State Power of Engineering University

Abstract

Detection of defects at an early stage of their occurrence, especially for power transformers that have worked out the standard term, is an acute problem. This article discusses the possibility of using the system of monitoring, control and diagnosis of transformer equipment (SMUID) electrical systems in conjunction with the automated control system of electrical equipment (ASU ETO) and automated information-measuring system of commercial electricity metering (AIIS KUE) with the use of QR-code, as well as using TeamViewer for the operational elimination of accidents and identify abnormal operation of transformer equipment. Transformer monitoring system is designed for monitoring isolation, recording and analysis of partial discharges, monitoring of technical condition ensuring maximum fault-free service life of transformers. In addition, the introduction of automated diagnostics and electrical equipment is a necessary condition for the introduction of SmartGrid technology in industrial electric networks, contributes to the reduction of capital investments in the renewal of the equipment fleet. The methods currently used do not detect dangerous insulation degradation, are not sensitive to its aging, and in some cases mistakenly assess the isolation condition. The work analyses the operability and quality of the systems under consideration, shows the hierarchical structure of SMUID. By applying the proposed idea with the QR-code, it is possible to speed up the process of searching for information about the current technical state of electrical equipment.

Publisher

Kazan State Power Engineering University

Subject

Pharmacology (medical),Complementary and alternative medicine,Pharmaceutical Science

Reference24 articles.

1. Fetisov LV, Rozhenzova NV, Bulatov OA. Improvement of the quality of electric energy in low voltage networks. Izv. Higher educational institutions. Problet.us anticus. 2018;11-12:99-106.

2. Ivanova VR, Fetisov LV. Development of a training stand for the efficient and safe operation of backup power supply at industrial enterprises. Izv. universities. Energy problems. 2018;9-10:165-169.

3. Chichov SI. Monitoring i diagnostika oborudovannykh setey regional'noy setevoy kompanii "Tambovenergo". Povysheniye effektivnosti sredstv obrabotki informatsii na baze matematicheskogo modelirovaniya: Mater, dokl. 9 Vseross. nauch.-tekhn. konf. 27-28 aprelya 2009 g. Tambov, 2009. S. 461-472.

4. Vinogradova LV, Ignat'yev KB, Klimov DA, et al. Diagnostika maslonapolnennogo elektrooborudovaniya na osnove ekspertnykh system. Integratsiya nauki i proizvodstva. Mater, konf. TRAVEK. M .: VEI, 2004. 180s. 5. Rybakov LM, Ancharova TV, Akhmetshii RS. Diagnostirovaniye silovykht ransformatorov 1 i 2 gabaritov napryazhennosti 10 / 0,4kVpod rabochim napryazheniyem s ispol'zovaniyem chastotnykh kharakteristik. Vestnik MEI. 2005;5:39-48.

5. Chichov SI, Kalinin VF, Glinkin YeI. Informatsionno-izmeritel'naya sistema tsentral'nogo upravleniya stolovymi setyami. M .: Mashinostroyeniye, 2009. 176 s.

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