Issue |
E3S Web Conf.
Volume 274, 2021
2nd International Scientific Conference on Socio-Technical Construction and Civil Engineering (STCCE – 2021)
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|
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Article Number | 10004 | |
Number of page(s) | 12 | |
Section | Sustainable Development | |
DOI | https://doi.org/10.1051/e3sconf/202127410004 | |
Published online | 18 June 2021 |
Development of safety management technology of electric power networks in order to sustainable development
Peter the Great St. Petersburg Polytechnic University, Polytechnicheskaya st., 29, St. Petersburg, Russia
* Corresponding author: mpolyukhovich@gmail.com
One of the fundamental principles of sustainable development is sustainable electric power supply to consumers. The implementation of this principle is possible only with guaranteed safety of electric power networks. Forecasting of possible threats is one of the tools to reduce the fault rate of technological equipment. Emergency shutdowns are largely caused by meteorological factors. The instability of meteorological conditions can lead to significant negative consequences for human life and activities. For forecasting and diagnosing meteorological conditions, it is advisable to use a territorial geo information system (GIS). Safety management processes requires the process creation with predefined properties. For safety management, it is recommended to use synthesisbased models, which makes it possible to apply an approach based on solving the inverse management problem. As a result of the study, the safety management technology of electric power networks based on the use of GIS was developed. The research considers threats caused by the impact of meteorological factors. In particular, some problems arising under the influence on the control object of environmental temperature, wind, and thunderstorm were analyzed. The presented simulation of safety management processes allows to guarantee reliable and safe electric power supply to consumers.
Key words: electric power network / safety management system / geo information system / human decision model
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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