Scientists of Tomsk Polytechnic University have created a concept of all-mode verification of calculations of modes and processes in smart grids, which is based on information from a model standard. Within the concept, they formed accuracy classes of mathematical models of modern devices of flexible alternating current transmission systems (FACTS) and high-voltage, direct current (HVDC) electric power transmission systems, as well as renewable sources of energy. It was required for complete and reliable solutions to practical tasks in power engineering.
Solving the problem of all-mode verification of information obtained in the result of numeral calculations contributes to increasing an accident rate, the most essential reliability and efficiency indexes of grid operation.
“According to the statistics of system accidents in the global power engineering, about half of these accidents are related to the use of ill-founded calculation data obtained using conventional methods of modelling. The situation is becoming worse because of the modern tendencies to complication of grids due to the introduction of renewable generation, FACTS and HVDC devices, as well as the change and complication of operation modes and processes in grids,”
explains Alexey Suvorov, Associate Professor of the TPU Division of Power and Electrical Engineering.
The scientists proposed to use the model standard of a grid to increase the completeness and reliability of calculations. A freely configurable developed multimodular complex for real-time simulation of grids of any dimensions and topology is used as the model standard. The complex was created due to a hybrid approach to modelling complicated dynamical systems, which was proposed and being developed at TPU.
The developed concept of verification based on the hybrid model standard is unique and does not possess any alternatives in the global energy industry. Using the concept, the scientists already formed the accuracy classes of mathematical models of modern devices of FACTS and HVDC, as well as renewable sources of energy. The research work was conducted within the grant of the Russian Science Foundation.