An experienced team of students won the final stage of the "CASE-IN" at NCFU

On the basis of the technopark of the Engineering Institute of the North Caucasus Federal University (NCFU) in Stavropol, the qualifying stage of the Student League of the XII International Engineering Championship "CASE-IN" in the field of "Electric Power Industry" was held, which was attended by experts from the Branch of the System Operator UDE of the South.

The NCFU Engineering Championship is being held for the tenth anniversary time, and on behalf of the organizers, at the opening ceremony, Andrei Porokhna, Acting Director of the Engineering Institute, was presented with a commemorative badge for merits in the field of engineering personnel training by the Adviser to the General Director of the Branch of JSC "System Operator of the Unified Energy System" ODU Yuga. Sergey Ostrikov.

This year, the participating teams in the Electric Power Industry championship solved a case developed by the System Operator for the implementation of "Lean Manufacturing" using artificial intelligence technologies.

The solutions presented were evaluated by the chairman of the expert commission, a leading specialist of the Personnel Management Service of the UDE of the South, Candidate of Technical Sciences Vladimir Pastorov, the team of experts includes the chief specialist of the Automated Dispatch Control Systems Service of the UDA of the South John Burlak and a specialist of the 1st category of the ODU South Market Support Service Andrey Mironov both are representatives of the Youth Council of JSC "System Operator of the Unified Energy System" ODU of the South.

As a result of the defense of projects by 14 participating teams, the victory, as a year ago, was won by the "System Emperor" team, consisting of 4th-year undergraduate students from NCFU. Last year, the young people participated in the finals of the championship in Moscow and reached the fourth place.

This time, Mikhail Lobanov, Alexander Ovcharenko, Dmitry Turchenko and Beslan Shidov presented and justified their proposals on the use of artificial intelligence in forecasting electricity production in the UES of the South using renewable energy. According to the authors, in accordance with the concept of lean manufacturing, a trained neural network based on various data sources will predict the generation of renewable energy plants with an accuracy of up to 96%, which will make it possible to use renewable energy resources more efficiently in the future, and the System Operator will increase the controllability and flexibility of the power system by increasing the accuracy of the forecast.

"Among all the projects submitted to the experts' court, the prize-winning team approached the task most accurately. They made a detailed analysis, put forward a hypothesis and proposed an algorithm and a plan for the implementation of the proposed task, calculating the possible economic effect of the implementation", - the chairman of the expert commission commented Vladimir Pastorov.

Participation in the championship also allows young people to receive privileges when applying to master's and postgraduate studies, to complete internships in branches of a System Operator with prospects for further employment.

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