- Iatsyshyn, Anna V. (orcid.org/0000-0001-8011-5956), Iatsyshyn, Andrii V. (orcid.org/0000-0001-5508-7017), Gurieiev, Viktor (orcid.org/0000-0002-8496-3626), Kutsan, Yulii G. (orcid.org/0000-0002-0361-3190), Kovach, Valeriia O. (orcid.org/0000-0002-1014-8979), Lysenko, Evgen (orcid.org/0000-0001-7833-5116), Artemchuk, Volodymyr O. (orcid.org/0000-0001-8819-4564) and Popov, Oleksandr O. (orcid.org/0000-0002-5065-3822) (2020) Simulating Systems for Advanced Training and Professional Development of Energy Specialists in Power Sector Proceedings of the 16th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer. Volume II: Workshops, 2 (2732). pp. 1-16. ISSN 1613-0073
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Abstract
The crisis of the system of professional development and personnel training in the energy sector exists not only in Ukraine but also all over the world. The article describes the concept of development and functioning of the industry system of personnel training in the energy sector of Ukraine. The importance of using modern web-oriented technologies to improve the skills of operational and dispatching personnel in the energy sector of Ukraine is substantiated. The methods of distributed power system operating modes modelling are presented. Development and software tools for the construction of distributed simulating systems and particular features of cloud technologies application for the creation of a virtual training centers network in the energy sector, as well as the ways to automate the process of simulating scenarios development are described. The experience of introducing remote training courses for energy specialists and remote web-based training simulators based on a comprehensive model of the energy system of Ukraine is presented. An important practical aspect of the research is the application of software and data support for the development of personnel key competencies in the energy sector for rapid recognition of accidents and, if necessary, accident management. This will allow them to acquire knowledge and practical skills to solve the problems of analysis, modelling, forecasting, and monitoring data visualization of large power systems operating modes.
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