Tolbatov A. Information technology for the dynamic analysis of gas turbine power plant operation processes

Object of study - gas turbine power plant's (GTPP) operation processes; the goal is to enhance the efficiency of GTPP functioning based on the development and implementation of the information technology (IT) of operation processes dynamics analysis. Following methods have been used in the course of current research: methods of stochastic processes theory and mathematical statistics for measurement control signals models development; theory of automatic control for models of dynamics development; statistical modeling of the stochastic signals implementation; data base modeling method; program systems designing technology - for information technology architecture and software development. Theoretical results: for the first time mathematical model of GTPP's power signal has been suggested as a stochastic function of three arguments - frequency of random events, temperature of the outdoor air and current time t, that allows to estimate impact of external factors on GTPP's functioning dynamic; for the first time method of the measurement control signals modeling which allows to consider stochastic and periodic components has been suggested. This allows to depict dynamic of GTPP's processes; analysis method of GTPP's functioning based on correlation function usage and spectral density of vibration signal power. This allows doing of complex analysis of electrical and mechanical processes dynamics; new information technology of GTPP's processes dynamic analysis based on models, algorithms and statistical data measurements of the main information signals analysis software has been proposed. Obtained results have both scientific and practical value for efficient work of GTPPs. The developed models, algorithms, software, data bases and methods of information technology usage allows to consider all main features of GTPP's functioning and efficiency enhancement in the given modes and different climate zones. Implementation level - the main results have been implemented in GTPP GTY-16 in PJSC 'Sumy Frunze machine-Building Science and Production Association' (Ukraine, Sumy). Methods of statistical processing of information signals measurement data, results of developed technology dataware usage are being used in the educational process of Computer Science department, Sumy State University. Sector (industry) of usage - information technologies and software in energy systems.