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出 处:《工业控制计算机》2020年第1期114-117,121,共5页Industrial Control Computer
摘 要:针对700MW超超临界机组协调控制系统,提出全工况下的协调系统多模型预测控制策略。首先利用Gap metric理论分析机组非线性特征,指出低负荷范围内的局部模型密度应当高于高负荷范围内的局部模型密度,指导了机组运行空间的划分及全工况模型集的选取。提出使用第三方外挂实时控制平台以实现多模型预测控制算法,并给出了相应实施方案。工程应用表明,全工况下的协调系统多模型预测控制策略提升了机组协调控制系统性能,使机组具备了深调至30%Pe的能力。Aiming at the coordinated control system of a 700 MW ultra-supercritical unit,a multi-model predictive control strategy for coordinated system under full operating conditions is proposed in this paper.Firstly,the Gap metric theory is used to analyze the non-linear characteristics of the unit.It is pointed out that the local model density in the low load range should be higher than that in the high load range,which guides the division of the unit operating space and the selection of the model set under the whole working condition.Third-party external real-time control platform is proposed to implement multi-model predictive control algorithm,and the corresponding implementation scheme is given.The engineering application shows that the multi-model predictive control strategy of the coordinated system under all working conditions improves the performance of CCS of the unit,and enables the unit to have the ability to operate around 30%Pe.
关 键 词:超超临界机组 协调控制系统 预测控制 多模型 工程应用
分 类 号:TM621[电气工程—电力系统及自动化]
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