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Coordinate Control System of USC Unit Based on Identification by Using Genetic Algorithms
Author: LiangYang
Tutor: GuJunJie
School: North China Electric Power University
Course: Thermal Power Engineering
Keywords: Supercritical once-through boiler System Identification Coordinated control Genetic Algorithms Decoupling
CLC: TM621.6
Type: Master's thesis
Year: 2011
Downloads: 59
Quote: 2
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Abstract
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With the development of the electric power industry , large-capacity , high-parameter generator sets rapid popularity of ultra-supercritical unit has begun to occupy the leading position of the thermal power generating units . Once-through boiler is one of the main features of the ultra-supercritical unit . DC operating characteristics of the ultra-supercritical units , varying parameters of the operation mode , multi- variable control characteristics different from subcritical drum boiler control with great particularity . Therefore, to study ultra-supercritical unit coordinated control system has far-reaching significance on the safe operation and energy saving . Coordinated control system is an important part of the large - scale thermal power generating units , boiler and turbine generator set control as a whole , with a variety of control functions in order to be able to meet the control requirements of the different operating modes and under different conditions . Turbine during operation tone of the opening degree , the amount of fuel to the water disturbance will affect the the DC furnace of power , the main steam pressure , main steam temperature , enthalpy of the intermediate points . Therefore , in this paper , the ultra-supercritical unit is seen as a three input and three output multivariable adjustment object . The paper first analyzes the static and dynamic characteristics of the once-through boiler , described the coordinated control system in the unit's functions , classification and run DC boiler main task of the control system of coordination and analysis of existing coordination control strategy . Northern power plant 's Unit One study , by the the mechanism analysis drawn coordinated control object model structure , based on the input and output data of the actual running of the object , using the real-coded adaptive genetic algorithm to identify the model parameters . In a typical operating conditions , the use of genetic algorithms to identify the the static decoupling network coordinated control of the object , and then design the pressure loop power loop and enthalpy loop controller simulation study . Simulation results show that the Identification of Genetic Algorithm decoupling coordinated control method to good effect , regulating the quality control satisfactory .
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CLC: > Industrial Technology > Electrotechnical > Power generation, power plants > Power plant > Thermal power plants, thermal power stations > Control equipment
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