Pump systems around the world account for a high percentage of electrical energy consumption. The energy efficiency of these systems can be improved using control algorithms to determine appropriate operating points. The problem that arises is that computed operating points deviate from real operating points. This is due to deviations of the affinity laws, inaccurate information about pump characteristics, and plant behavior. In order to address this problem, we will present model-free optimization methods that can optimize various pump systems during ongoing operation. First, we will classify different pump systems. Based on this categorization, we will then analyze characteristic systems with regard to their energetic optimum. The resulting findings will enable us to identify suitable optimization algorithms. These model-free optimization algorithms take the form of an extremum seeking control in combination with a Kalman filter, the Nelder Mead algorithm, and a dynamic optimization method. After describing these algorithms, we will optimize and validate three sample classes of pump systems using the respective appropriate optimization strategy. The three classes represent a single-pump system, a multiple parallel pump system and a pump storage system. We can see that all optimization strategies achieve the energetic optimum. We can identify savings of between 7.9% and 50%, depending on the system in question. Finally, we will present a best-fit model-free optimization strategy for each class, and system operators can employ this strategy to ensure energy-optimized operation of their specific system.

世界各地的泵系统占电能消耗的很大比例。这些系统的能源效率可以通过使用控制算法来确定适当的操作点来提高。出现的问题是计算出的工作点与实际工作点有偏差。这是由于亲和力定律的偏差、有关泵特性的不准确信息以及植物行为造成的。为了解决这个问题，我们将提出无模型优化方法，可以在持续运行期间优化各种泵系统。首先，我们将对不同的泵系统进行分类。基于这种分类，我们将分析特征系统的能量优化。由此产生的发现将使我们能够确定合适的优化算法。这些无模型优化算法采用极值搜索控制与卡尔曼滤波器、Nelder Mead 算法和动态优化方法相结合的形式。在描述了这些算法之后，我们将使用相应的适当优化策略来优化和验证三类泵系统。三类分别代表单泵系统、多并联泵系统和泵蓄能系统。我们可以看到所有的优化策略都达到了能量最优。我们可以确定节省 7.9% 到 50% 之间，具体取决于相关系统。最后，我们将为每个类别提供最适合的无模型优化策略，系统运营商可以使用该策略来确保其特定系统的能源优化运行。