Abstract
The article considers approaches to creating a methodology for improving the efficiency and reliability of power systems equipment in the context of digitalization. There are some problems of digital transformation of energy enterprises: optimization of the processes of proactive management of existing energy facilities; introduction of modern algorithms for digital signal processing; introduction of wireless transmission of measurement information and control signals; and application of modern approaches to the construction of diagnostic systems for power equipment to improve reliability, efficiency, and safety. An urgent and economically feasible task is to develop a universal methodology for implementing methods and techniques for improving reliability and efficiency indicators at all energy facilities, taking into account the technical condition of power equipment in the context of digitalization. Based on the data on the types and causes of equipment failures, data on the main and auxiliary equipment of power generation, transmission, and distribution facilities were obtained. The structure of power equipment failures is shown. The results of the analysis of the reliability indicators of power equipment are presented. The results of constructing mathematical models of changes in reliability and efficiency indicators are shown. Developed software and DBMS for processing data on reliability and efficiency indicators.
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The research is funded by Russian Federation public contract № FSWF-2020-0025 “Technique development and method analysis for ensuring power system object security and competitiveness based on the digital technologies”.
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Sultanov, M., Boldyrev, I., Gorban, Y. (2022). Methods for Improving the Efficiency and Reliability of Power Systems Equipment in the Context of Digitalization. In: Irina, A., Zunino, P. (eds) Proceedings of the International Symposium on Sustainable Energy and Power Engineering 2021. SUSE 2021. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-9376-2_20
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DOI: https://doi.org/10.1007/978-981-16-9376-2_20
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