考虑多级压缩机耦合特性的压缩空气储能系统功率跟踪控制OA
Power Tracking Control of Compressed Air Energy Storage System Considering Coupling Characteristics of Multi-stage Compressors
新型电力系统对压缩空气储能调节灵活性提出了更高要求.然而,各级压缩间存在复杂耦合关系,导致传统PID解耦控制在安全运行约束内难以满足储能侧对功率指令的高精度跟踪需求.为此,该文提出一种考虑多级压缩机耦合特性的模型预测功率跟踪控制.首先,构建反映各级压缩机状态量和控制量耦合关系的储能侧精细状态空间动态模型;随后,将模型转化为简化功率预测模型,以功率跟踪误差最小为目标,提出考虑安全运行约束的模型预测功率跟踪控制策略;最后,利用MATLAB/Simulink搭建系统动态仿真模型,研究系统开环特性和控制量耦合关系,并对比所提策略与PID解耦控制在安全运行约束下的二次调频性能.结果表明,提出的控制策略能明显提高功率跟踪精度.
The new-type power system imposes higher demands on the flexibility of compressed air energy storage regulation.However,traditional PID decoupling control struggles to achieve high-precision power command tracking for the energy storage side within safety operation constraints due to the complex coupling relationships between multi-stage compressors.To address this issue,this paper proposes a model predictive power tracking control strategy that takes into account the coupling characteristics between multi-stage compressors.Initially,a refined state-space dynamic model for the energy storage side,reflecting the coupling relationships between the state and control variables of each compressor,is constructed.Subsequently,the model is transformed into a simplified power prediction model,with the objective function being the minimization of power tracking error.A model predictive power tracking control strategy considering safety operation constraints is developed.Finally,a system dynamic simulation model is established using MATLAB/Simulink to investigate the open-loop characteristics and control variable coupling relationships.The proposed control strategy is compared with the PID decoupling control in terms of secondary frequency regulation performance under safe operation constraints.Results show that the control strategy proposed in this paper can significantly improve the power tracking accuracy.
陈思源;陈来军;崔森;刘瀚琛;郭中杰;梅生伟
清华大学电机工程与应用电子技术系,北京市 海淀区 100084清华大学电机工程与应用电子技术系,北京市 海淀区 100084清华大学电机工程与应用电子技术系,北京市 海淀区 100084清华大学电机工程与应用电子技术系,北京市 海淀区 100084电子科技大学机械与电气工程学院,四川省成都市 611731清华大学电机工程与应用电子技术系,北京市 海淀区 100084
信息技术与安全科学
压缩空气储能模型预测控制多级压缩机耦合动态模型功率跟踪
compressed air energy storagemodel predictive controlmulti-stage compressor couplingdynamic modelpower tracking
《中国电机工程学报》 2026 (7)
2615-2625,中插1,12
国家自然科学基金项目(青年项目)(52407115)清华大学-丰田联合研究基金项目(20233930061)中国博士后科学基金面上项目(2024M750349).Project Supported by National Natural Science Foundation of China(Young Scientistic Program)(52407115)Tsinghua University-Toyota Joint Research Fund Project(20233930061)China Postdoctoral Science Foundation General Program(2024M750349).
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