Abstract
There are many problems connected with use of gas turbine units for electricity generation. The main problem is the gas turbine unit inefficient operation as a synchronous generator drive. To ensure the required quality of the generated electricity, which is largely determined by the nature of the transient processes of gas turbine unit, further improvement of control algorithms for automated control systems of gas turbine unit is required. In solving this problem, gas turbine unit should be considered in conjunction with other subsystems and units, for gas turbine power plants - this is, first of all, the electric generator and electric power industry in general. The process of tuning a gas turbine power plant control system is part of the test. Particularly time-consuming operations are manual tuning of the control system during experimental design and operational tests. Therefore, we propose to use a software-modeling complex, on the basis of which it is possible to obtain a neural network mathematical model of a gas turbine electro station and conduct its tests. In this case, in the process of testing the control system, the setup procedure is first performed on a mathematical model, then the settings obtained are checked using semi-bench testing, the final check of the decisions taken is carried out on a full-scale test bench, and data on the direct operation of a gas turbine power plant are also taken into account.
Highlights
Nowadays, the interests of the elaboration and development of sustainable electric power industry dictate the need to introduce modern methods of automatic control for power generating modules, which are often based on the ground use of aircraft engines
In order to obtain an automatic control system (ACS) that would satisfy the quality indicators of power generation, it is necessary to conduct a large number of tests of the control object [4]
Tests of ACS controllers can be carried out at full-scale stands using a mathematical model of a gas turbine electro station (GTES) in conjunction with a electrical system (ES)
Summary
The interests of the elaboration and development of sustainable electric power industry dictate the need to introduce modern methods of automatic control for power generating modules, which are often based on the ground use of aircraft engines. In order to obtain an automatic control system (ACS) that would satisfy the quality indicators of power generation, it is necessary to conduct a large number of tests of the control object [4]. These tests can be carried out on full-scale test benches, but in this case, the list of possible operating modes is significantly limited, especially in the field of pre-emergency and emergency modes, in addition, the cost of testing is high. If a mathematical model is available, the procedure for setting the parameters of an ACS of a GTES is greatly simplified, since the direct operation of a real object is excluded. The neural network model allows to obtain the required speed [11,12]
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