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Supercritical Power Unit Load Control and Optimization Based on Generalized Predictive Control

Author: YangZuo
Tutor: JinXiaoMing
School: Zhejiang University
Course: Pattern Recognition and Intelligent Systems
Keywords: Supercritical parameter units Load control Generalized Predictive Control Local steady-state optimization
CLC: TM621.6
Type: Master's thesis
Year: 2012
Downloads: 44
Quote: 0
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Abstract


Unit unit is the main unit of the modern thermal power enterprises, especially high parameter and large capacity units because of its higher unit efficiency, the proportion of thermal power enterprises increasingly high. The energy saving of the electricity industry to thermal power plants, energy saving and emission reduction as the core, in order to reduce the production of coal consumption, improve the competitiveness of enterprises. The supercritical the parameter unit load production process is a nonlinear, time-varying parameters, multivariable coupling of the charged object, at the same time to ensure the stable operation of the boiler and turbine, but also consider the the dynamic characteristic differences between them, to achieve boiler, steam turbine coordination Control. Therefore, starting from the above problems, the unit load control and optimization problems, the main contents are as follows: 1. Brief analysis unit power plant process principles, characteristics, and supercritical parameters unit automatic control system. Research and application of advanced control and optimization algorithms in the running of the unit. 2. Analysis of the dynamic characteristics and the link mechanism characteristics of supercritical parameters Power Unit, summarizes the unit's Modeling Research. Supercritical parameters unit load input and output variables of the production process and control objectives derived multivariable generalized predictive control and optimization algorithms, the basic form of constraint handling. For the of supercritical parameters unit load the dynamic characteristics of the production process and control objectives, the generalized predictive control strategy of minimizing the economic indicators of the local steady-state load production process of coal consumption, and were taken goal programming (Goal Programming, abbreviated as GP) and Linear Programming (Linear Programming, abbreviated as LP) local steady-state target calculation. Simulation study shows that do not need to target coordination, GP GPC LP GPC-have the same performance curve, compared with the conventional generalized predictive control, basic control goals premise, effectively reducing the consumption of fuel coal, and be able to overcome the parameters change model mismatch influence with a certain degree of robustness; And when the goal of coordination is required, GP GPC to coordinate the control objectives and economic optimization of the relationship between the target better than LP GPC Complete control tasks. In order to achieve steady-state optimization and control for the thermal efficiency of the boiler, the boiler thermal efficiency indicators of the unburned carbon content of the fly ash, slag, carbon residue established least squares support vector machine soft measurement model and proposed particle swarm algorithm based on natural selection optimize modeling parameters. Simulation of industrial field data show that the model has good accuracy, and laid the foundation for the design of the control system for the optimization of the thermal efficiency of the boiler. 5 For the full text Summary and Outlook

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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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