The use of HRTSim to optimize the control parameters of fast turbine valving control

• Published in: Electrical engineering Vol. 103; no. 2; pp. 1105 - 1113
• Main Authors: Kievets, Anton, Suvorov, Aleksey, Askarov, Alisher, Rudnik, Vladimir, Aleksander, Gusev, Yuly, Bay
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01-04-2021; Springer Nature B.V
• Subjects: Dynamic stability; Economics and Management; Electric power; Electric power systems; Electrical Engineering; Electrical Machines and Networks; Energy Policy; Engineering; Mathematical models; Optimization; Original Paper; Parameters; Power Electronics; Static stability; Synchronism; Turbines; Momentary fast turbine valving control; Fast turbine valving control; Sustained fast turbine valving control; Mathematical simulation; Setting up
• ISSN: 0948-7921; 1432-0487
• DOI: 10.1007/s00202-020-01134-z

In case of sharp disturbances in the electric power system (EPS), emerging transients may be accompanied by a loss of synchronism. This incident may lead to cascade-fault severe consequences for the whole EPS. One of such consequences may be the occurrence of an active power overgeneration in one part of the electric power system. In this regard, it is necessary to apply actions to implement targeted effects on transients in EPS. The most technologically and economically advantageous is the use of fast turbine valving control (FTVC). The task of this automation is to maintain the dynamic and static stability of overgenerated area. However, the effectiveness of FTVC is mainly dependent on its control action (CA). Tuning the parameters of FTVC is not a trivial task, because it is necessary to take into account the processes and their mutual influence in the equipment not only directly involved in the FTVC but also in the EPS as a whole. The article shows the results of FTVC action with various CA configuration. The use of complete and reliable mathematical models of equipment not only directly involved in FTVC but also EPS, as well as a tool capable of working with similar types of models, allowed the optimization of FTVC CA parameters.