基于MINLP的混合策略用于储热备份制冷系统运行模式选择
MINLP-based hybrid strategy for operating mode selection of TES-backed-up refrigeration systems
AI总结：
本文提出一种基于混合整数非线性规划的混合最优控制策略，用于含热能储存的制冷系统运行模式选择，以经济性为目标，仿真验证其在成本、调参和适应性上优于非线性MPC策略。
摘要：
本文简要探讨了由蒸汽压缩制冷循环和基于相变材料的热能储存（TES）单元组成的混合系统满足日常制冷需求的问题。在原有制冷设备中添加TES储罐，使得制冷生产可以根据需求进行调度，而无需考虑瞬时需求，因为TES储罐可以储存冷能并在适当的时候释放。调度问题被表述为基于混合整数非线性规划（MINLP）的优化问题，因为它同时包含离散变量和连续变量。连续变量对应于问题中涉及的主要制冷功率的参考值（蒸发器处的制冷生产和TES的充放电），而离散变量则定义了运行模式的调度。因此，除了物理设备的混合特性外，还提出了一种混合最优控制策略。采用了类似于模型预测控制（MPC）策略的滚动时域方法，同时在目标函数中施加了经济标准以及可行性约束。还解决了TES状态估计问题，因为其瞬时充注率是不可测量的。所提出的策略在仿真中应用于一个具有挑战性的制冷需求曲线，并强调了基于MINLP的策略相对于先前开发的基于非线性MPC的调度策略在运行成本、调节简便性和适应制冷需求变化能力方面的主要优势。
英文摘要：
This brief deals with the satisfaction of the daily cooling demand by a hybrid system that consists of a vapour-compression refrigeration cycle and a thermal energy storage (TES) unit, based on phase change materials. The addition of the TES tank to the original refrigeration plant allows to schedule the cooling production regardless of the instantaneous demand, given that the TES tank can store cold energy and release it whenever deemed appropriate. The scheduling problem is posed as an optimization problem based on mixed-integer non-linear programming (MINLP), since it includes both discrete and continuous variables. The latter corresponds to the references on the main cooling powers involved in the problem (cooling production at the evaporator and TES charging/discharging), whereas the discrete variables define the operating mode scheduling. Therefore, in addition to the hybrid features of the physical plant, a hybrid optimal control strategy is also proposed. A receding horizon approach is applied, similar to model predictive control (MPC) strategies, while economic criteria are imposed in the objective function, as well as feasibility issues. The TES state estimation is also addressed, since its instantaneous charge ratio is not measurable. The proposed strategy is applied in simulation to a challenging cooling demand profile and the main advantages of the MINLP-based strategy over a non-linear MPC-based scheduling strategy previously developed are highlighted, regarding operating cost, ease of tuning, and ability to adapt to cooling demand variations.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
