TY - GEN
T1 - Researching of a setting emergency unloading technique of turbo-generator
AU - Kievets, Anton
AU - Rudnik, Vladimir
AU - Kachalov, Nikolay
PY - 2019/8/9
Y1 - 2019/8/9
N2 - Today The effectiveness of Emergency Control Automatics unloading turbines unloading, which is necessary an amount of excess generation capacity in the electric power system (EPS), largely depends on the parameters of the pulse control signal: The amount of control, define the number of irregularities, and its duration to provide the required turbine speed and the depth of unloading; algorithm of signal release, consisting of its reduction to a certain level and the subsequent exponential reset; removal algorithm signal, consisting of its reduction to a certain level and subsequent exponential nulling, to minimize the amplitude and duration of the swaying. The condition for the successful solution of this problem is the use of simulation tools in EPS sufficiently complete mathematical model of emergency control system, allowing conducting studies to determine the optimal parameters of the control signal. Utilized computer programs do not provide the required solutions designated tasks. Therefore, shown a comprehensive study is relevant to the science and practice. In carrying out this work were used methods of automatic control theory and mathematical modeling, as well as advanced software and hardware of calculation regimes and processes in ESP and created in Tomsk Polytechnic University real-Time all-mode modeling complex of power system. The results of research means allow to form an effective method of emergency control of automation impulse turbine discharge. The developed methods and the used tools for its implementation enable sound setting optimal parameters of impulse control action of emergency unloading of turbine-generator set.
AB - Today The effectiveness of Emergency Control Automatics unloading turbines unloading, which is necessary an amount of excess generation capacity in the electric power system (EPS), largely depends on the parameters of the pulse control signal: The amount of control, define the number of irregularities, and its duration to provide the required turbine speed and the depth of unloading; algorithm of signal release, consisting of its reduction to a certain level and the subsequent exponential reset; removal algorithm signal, consisting of its reduction to a certain level and subsequent exponential nulling, to minimize the amplitude and duration of the swaying. The condition for the successful solution of this problem is the use of simulation tools in EPS sufficiently complete mathematical model of emergency control system, allowing conducting studies to determine the optimal parameters of the control signal. Utilized computer programs do not provide the required solutions designated tasks. Therefore, shown a comprehensive study is relevant to the science and practice. In carrying out this work were used methods of automatic control theory and mathematical modeling, as well as advanced software and hardware of calculation regimes and processes in ESP and created in Tomsk Polytechnic University real-Time all-mode modeling complex of power system. The results of research means allow to form an effective method of emergency control of automation impulse turbine discharge. The developed methods and the used tools for its implementation enable sound setting optimal parameters of impulse control action of emergency unloading of turbine-generator set.
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U2 - 10.1063/1.5120663
DO - 10.1063/1.5120663
M3 - Conference contribution
AN - SCOPUS:85071034685
T3 - AIP Conference Proceedings
BT - International Youth Scientific Conference "Heat and Mass Transfer in the Thermal Control System of Technical and Technological Energy Equipment", HMTTSC 2019
A2 - Kuznetsov, Geniy
A2 - Orlova, Evgeniya
A2 - Feoktistov, Dmitry
PB - American Institute of Physics Inc.
T2 - International Youth Scientific Conference on Heat and Mass Transfer in the Thermal Control System of Technical and Technological Energy Equipment 2019, HMTTSC 2019
Y2 - 23 April 2019 through 25 April 2019
ER -