摘要
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 background of gas-steam combined cycle power plant gas system of a steelworks, a mechanism model suitable for the anti-surge control design of compression system is established based on the loss mechanism of compressor. The improved adaptive genetic algorithm is applied to determine the important parameters of the model. Based on the developed model, the corresponding anti-surge control strategy is proposed. Applying the mechanism model and antisurge control strategy to the practical gas system, the results show that the model has satisfactory prediction performance and the control strategy proposed can provide effective control in inhibiting the occurrence of compressor surge, and achieve good control effect.
出处
《控制与决策》
EI
CSCD
北大核心
2013年第3期439-444,450,共7页
Control and Decision
基金
国家自然科学基金项目(61074074
61174130
61004083)
国家863计划项目(2011AA060204)
国家973计划项目(2009CB320601)
关键词
离心压缩机
改进自适应遗传算法
机理模型
防喘控制
联合循环发电机组
centrifugal compressor
improved adaptive genetic algorithm
mechanism model
anti-surge control
combined cycle power plant
