The advanced control of urban drainage systems (UDS) has great potential in reducing pollution to the receiving waters by optimizing the operations of UDS infrastructural elements. Existing controls vary in complexity, including local and global strategies, Real-Time Control (RTC) and Model Predictive Control (MPC). Their results are, however, site-specific, hindering a direct comparison of their performance. Therefore, the working group ‘Integral Real-Time Control’ of the German Water Association (DWA) developed the Astlingen benchmark network, which has been implemented in conceptual hydrological models and applied to compare RTC strategies. However, the level of detail of such implementations is insufficient for testing more complex MPC strategies. In order to provide a benchmark for MPC, this paper presents: (1) The implementation of the conceptual Astlingen system in an open-source hydrodynamic model (EPA-SWMM), and (2) the application of an MPC strategy to the developed SWMM model. The MPC strategy was tested against traditional and well-established local and global RTC approaches, demonstrating how the proposed benchmark system can be used to test and compare complex control strategies.

中文翻译：

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Astlingen RTC 基准​​网络的 MPC 启用 SWMM 实施

城市排水系统 (UDS) 的先进控制通过优化 UDS 基础设施元素的运行，在减少对受纳水体的污染方面具有巨大潜力。现有控制的复杂程度各不相同，包括本地和全局策略、实时控制 (RTC) 和模型预测控制 (MPC)。然而，他们的结果是特定于站点的，阻碍了对其性能的直接比较。因此，德国水协会 (DWA) 的“整体实时控制”工作组开发了 Astlingen 基准网络，该网络已在概念水文模型中实施并应用于比较 RTC 策略。但是，此类实现的详细程度不足以测试更复杂的 MPC 策略。为了给 MPC 提供一个基准，本文提出：(1) 在开源流体动力学模型 (EPA-SWMM) 中概念性 Astlingen 系统的实施，以及 (2) MPC 策略在开发的 SWMM 模型中的应用。MPC 策略针对传统的和完善的本地和全球 RTC 方法进行了测试，展示了如何使用所提出的基准系统来测试和比较复杂的控制策略。