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以燃气-蒸汽联合循环发电机组煤气系统为背景,基于压缩机能量损失机理建立多级离心压缩机系统防喘控制模型,并利用改进自适应遗传算法辨识机理模型中难以准确获得的参数.基于此模型,制定相应的防喘控制线确定方法和防喘控制策略.将所建立的防喘模型和防喘控制策略应用于实际的煤气系统中,结果表明该防喘模型能准确预测多级离心压缩机的性能,所制定的防喘控制策略能有效防止喘振的发生,取得了满意的控制效果.
Based on the gas system of a gas-steam combined cycle generator set, an anti-asthma control model of a multistage centrifugal compressor system is established based on the energy loss mechanism of the compressor, and an improved adaptive genetic algorithm is used to identify the parameters that are difficult to accurately obtain in the mechanism model. Model and formulate the corresponding anti-asthma control line determination method and anti-asthma control strategy.The established anti-asthma model and anti-asthma control strategy applied to the actual gas system, the results show that the anti-asthma model can accurately predict the multi-stage centrifugal compression Machine performance, the anti-asthma control strategy developed can effectively prevent the occurrence of surge, and achieved satisfactory control effect.