引用本文:徐晴晴,宋凯.压缩空气储能系统模型预测控制[J].控制理论与应用,2021,38(12):1935~1946.[点击复制]
XU Qing-qing,SONG Kai.Model predictive control of compressed air energy storage system[J].Control Theory and Technology,2021,38(12):1935~1946.[点击复制]
压缩空气储能系统模型预测控制
Model predictive control of compressed air energy storage system
摘要点击 1297  全文点击 519  投稿时间:2020-10-13  修订日期:2021-10-12
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DOI编号  10.7641/CTA.2021.00690
  2021,38(12):1935-1946
中文关键词  压缩空气储能系统  分布参数系统建模  模型预测控制
英文关键词  compressed air energy storage system  distributed parameter system modelling  model predictive control
基金项目  中国石油大学(北京)引进人才科研启动基金项目(2462017YJRC039), 中国石油大学(北京)科研基金资助(2462020YXZZ052), 中国石油天然气集 团有限公司–中国石油大学(北京)战略合作科技专项:“一带一路”海外长输管道完整性关键技术研究与应用项目(ZLZX2020-05)资助.
作者单位E-mail
徐晴晴* 中国石油大学(北京) xuqq@cup.edu.cn 
宋凯 中国石油大学(北京)  
中文摘要
      压缩空气储能作为一项新型物理储能技术, 利用模型预测控制可降低热力成本、提高能源利用效率. 为实 现压缩空气储能系统的温度控制, 分析了压缩空气储能系统中的换热器系统、热能存储系统和盐穴储气系统的热 力学特性, 建立压缩空气储能系统的集中参数和分布参数耦合系统模型. 设计耦合系统的模型预测控制策略, 针对 控制器中复杂约束优化求解问题, 提出了基于Cayley–Tustin变换的离散化方法, 提高了压缩空气储能系统控制精 度. 仿真结果表明模型预测控制可避免天气变化引起的干扰, 可以有效提高压缩空气储能系统热能利用.
英文摘要
      Compressed air energy storage is a new physical energy storage technology, its thermal cost reduction and energy efficiency improvement can be achieved by using model predictive control. In order to realize the temperature control of the compressed air energy storage system, the thermodynamic characteristics of heat exchanger system, thermal energy storage system and salt cavern gas storage system in the compressed air energy storage system are analyzed. Based on the analysis, the lumped parameter and distributed parameter coupled system model of the compressed air energy storage system is established. Then, the model predictive control strategy is designed for the coupled system. For solving controller’s complex constrained optimization problems, a discretization method based on Cayley–Tustin transform is proposed to improve the control accuracy of compressed air energy storage system. The simulation results show that the model predictive control can avoid the disturbance caused by the weather change, and can effectively improve the heat energy utilization of compressed air energy storage system.