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Based on the practical normal signals, which are collected from a main steam temperature sensor of a CLN600 24.2/566/566 steam turbine, three types of representative sensor fault signals are simulated to test the proposed method.
In order to overcome the uncertainties, large delay, large inertia and nonlinear property of the main steam temperature controlled object in the power plant, a neural network intelligent PID control system based on immune genetic algorithm and BP neural network is designed.
minimum stable load (wo DH) 48.1 51.4 37.4 Main steam pressure (bar) 131 131 188 Main steam temperature (°C) 561 570 540 Hot reheat steam pressure (bar) NA 31 48.5 Hot reheat steam temperature (°C) NA 563 563.
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In this paper, a scheme to identification and control is proposed for main-steam temperature raising in a super heater system of thermal power plant.
Finally, an adaptive control system for main-steam temperature raising is designed based on a nonlinear predictor model in the framework of linear stochastic control theory.
Lacking power, valves on the main steam drain lines opened and temperatures in the reactor plummeted, threatening the integrity of the piping and reactor vessel.
Such integration mode would not result in temperature fluctuations of the main steam or reheated steam without affecting the safety of boiler's operation.
The blowdown flow rate from the steam header side is calculated with a more reasonable pressure loss coefficient of the open main steam isolation valves, and the peak drywell temperature is then reduced.
The containment pressure and temperature responses under the design-basis accidents, which are the main steam line break (MSLB) and the recirculation line break (RCLB) accidents, are investigated.
The fluid inside the main steam line pipes was assumed single phase steam at 100% quality.
If the idea proves viable, it will boost the plants' steam temperature up to 540 °C the maximum temperature that steam turbines can take.
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Justyna Jupowicz-Kozak
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