Thermal plant equipment technical condition assessment on the example of a condenser

I.A. Shcherbatov, A.N. Dolgushev, M.K. Belov, V.A. Agibalov, I.V. Salov

Abstract


Due to the emergence of various technical methods for collecting and processing data, primarily related to the rapid progress in the field of telecommunications technologies and Internet of things technologies, it has become possible to set and solve completely new applied tasks, such as predictive diagnostics and maintenance - diagnostics and maintenance of equipment on based on predictive analytics and automatic monitoring of equipment status.

Mathematical modeling of complex control systems and single technological objects is, as a rule, the only objective method for making sound technical decisions in the design and operation of equipment to predict the properties of this equipment. The mechanisms of mathematical modeling currently being developed serve as the scientific basis for intelligent engineering decision support systems. The article discusses the development of a technical condition index for assessing the technical condition of the equipment of a thermal power plant (CHP). A mathematical model of a capacitor has been developed. An analysis of key parameters was carried out to assess the technical condition of the equipment. A step-by-step detailed calculation of the index, which provides an assessment of the technical condition of the equipment, is given. An example of calculating the technical condition for a capacitor is given. The mathematical model and algorithms obtained by solving the problem can be further used in a number of applied projects.


Full Text:

PDF (Russian)

References


Yashura A.I. Sistema tekhnicheskogo obsluzhivaniya i remonta energeticheskogo oborudovaniya. Spravochnik. [System of maintenance and repair of power equipment. Нandbook] – M.: Izd-vo NTs ENAS [M.: Publishing House “NTs ENAS”], 2017. 504 p.

Protalinsky O.M., Andryushin A.V., Shcherbatov I.A., Protalinsky I.O. Sistema identifikatsii defektov tekhnologicheskogo oborudovaniya obyektov energetiki [System for detecting defects in technological equipment of energy facilities] // Energosberezheniye i vodopodgotovka [Energy saving and water treatment]. 2018. No. 5 (115). p. 56-63.

Tikhonov A. et al. Razrabotka tekhnologii sozdaniya tsifrovykh dvoynikov silovykh transformatorov na osnove tsepnykh modeley i 2D-modeley magnitnogo polya [Development of technologies for creating digital twins of power transformers based on chain models and 2D models of the magnetic field] // Yuzhno-Sibirskiy nauchnyy vestnik [South Siberian Scientific Bulletin]. – 2020. – No. 1. - p. 76-82.

Bulatov Yu. N., Kryukov AV. Algoritmy postroyeniya tsifrovogo dvoynika ustanovki raspredelennoy generatsii [Algorithms for constructing a standard dual installation of distributed generation] // Zhurnal Sibirskogo federalnogo universiteta. Tekhnika i tekhnologii [Journal of the Siberian Federal University. Technics and technology]. - 2020. - Vol. 13. - No. 6. - p. 677-689.

Shcherbatov I. A., Turikov G. N. Determination of power engineering equipment’s defects in predictive analytic system using machine learning algorithms //Journal of Physics: Conference Series. – IOP Publishing, 2020. – Vol. 1683. – №. 4. – P. 042056.

Shcherbatov I.A. Intellektualizatsiya informatsionnykh sistem upravleniya remontami predpriyatiy energetic [Intellectualization of information systems for repair management of energy enterprises] // Sovremennyye tekhnologii. Sistemnyy analiz. Modelirovaniye [Modern technologies. System analysis. Modeling]. 2019. No. 3 (63).

Manusov V.Z., Tokarenko E.A. Diagnostika tekhnicheskogo sostoyaniya transformatornogo oborudovaniya na osnove nechetkikh modeley [Diagnostics of the technical condition of transformer equipment based on fuzzy models] // Nauchnyye problemy transporta Sibiri i Dalnego Vostoka [Scientific problems of transport in Siberia and the Far East]. – 2014. – No. 1-2. - p. 269-272.

Kuntsevich M.V. Diagnostika transformatorov [Diagnostics of transformers] // Nauka i tekhnika Kazakhstana [Science and technology of Kazakhstan]. – 2010. – No. 4. - p. 50-55.

Plotnikova L. et al. Digitalizing the Process of Tracking Technical Condition of the Main Equipment of Energy Providing Enterprises //SHS Web of Conferences. – EDP Sciences, 2021. – Vol. 93.

Arakelian, E., Pashchenko, A., Shcherbatov, I., Tsurikov, G., & Titov, F. Creation of Predictive Analytics System for Power Energy Objects //2019 Twelfth International Conference "Management of large-scale system development"(MLSD). – IEEE, 2019. – p. 1-5.

Protalinsky O.M., Shcherbatov I.A., Stepanov P.V. Identification of the actual state and entity availability forecasting in power engineering using neural-network technologies //Journal of Physics: Conference Series. – IOP Publishing, 2017. – Vol. 891. – №. 1. – P. 012289.

Protalinsky O.M., Shcherbatov I.A., Khanova A.A., Protalinsky I.O. Adaptivnaya sistema prognozirovaniya nadezhnosti tekhnologicheskogo oborudovaniya obyektov energetiki [An adaptive system for predicting the reliability of technological equipment for energy facilities]. Informatika i sistemy upravleniya [Informatics and control systems]. – 2019. – No. 1. - p. 93-105.

Andryushin, A., Shcherbatov, I., Dolbikova, N., Kuznetsova, A., Tsurikov, G.. Outlier detection in predictive analytics for energy equipment //Cyber-Physical Systems: Advances in Design & Modelling. – Springer, Cham, 2020. – p. 193-203.

Molchanov M.V. et al. Prognozirovaniye ostatochnogo sroka sluzhby silovykh maslyanykh transformatorov na osnovanii dannykh monitoring [Predicting the residual service life of power oil transformers based on monitoring data] // Izvestiya Tulskogo gosudarstvennogo universiteta. Tekhnicheskiye nauki. [News of the Tula State University. Technical science]. – 2021. – No. 9. - p. 518-526.

Agibalov V. et al. Building a digital capacitor model for diagnostic and predictive analytics applications //AIP Conference Proceedings. – AIP Publishing LLC, 2021. – Vol. 2402. – №. 1. – P. 040034.

Voronov V.N., Petrova T.I. Vodno-khimicheskiye rezhimy TES i AES [Water-chemical modes of thermal power plants and nuclear power plants]. – 2011. 240 p.

Sultanov M. M. et al. Assessment of technical condition of condensers of TPP steam turbines according to the data of the power equipment parameters monitoring system //2021 3rd International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE). – IEEE, 2021. – С. 1-4.

Plantweb™ Health Advisor App. Product data sheet. June 2019. URL: https://www.emerson.ru/documents/automation/%D0%BF%D1%80%D0%B8%D0%BB%D0%BE%D0%B6%D0%B5%D0%BD%D0%B8%D0%B5-plantweb-health-advisor-ru-ru-5258880.pdf


Refbacks

  • There are currently no refbacks.


Abava  Кибербезопасность IT Congress 2024

ISSN: 2307-8162