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2018 International Interdisciplinary PhD Workshop (IIPhDW)最新文献

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Comparison of algorithms for hybrid nonlinear optimization problem in biological wastewater treatment plant 生物污水处理厂混合非线性优化问题的算法比较
Pub Date : 2018-05-01 DOI: 10.1109/IIPHDW.2018.8388242
R. Piotrowski, P. Hirsch, J. Lorenc
The paper presents the hierarchical control system applied to the Sequencing Batch Reactor (SBR) and aeration system in a Wastewater Treatment Plant (WWTP) in Swarzewo. This control system takes advantage of optimization in order to find the optimal reference trajectory of the dissolved oxygen concentration. The dissolved oxygen concentration is a parameter that determines the efficiency of biological processes and affects the costs of wastewater treatment. The aim of optimization was to minimize the consumption of electricity by the aeration system, while meeting the limitations on the maximum values of pollutants in treated wastewater, resulting from the water-law permit. The optimization problem is nonlinear and hybrid due to simultaneous occurrence of continuous and binary decision variables. Five deterministic and non-deterministic optimization methods were used to solve the decision problem. Finally, comparative analysis of the performance of different optimization methods was carried out.
本文介绍了应用于斯瓦泽沃某污水处理厂序批式反应器(SBR)和曝气系统的分级控制系统。该控制系统利用优化方法寻找溶解氧浓度的最优参考轨迹。溶解氧浓度是决定生物工艺效率和影响废水处理成本的参数。优化的目的是最大限度地减少曝气系统的电力消耗,同时满足经处理废水中污染物最大值的限制,这是水法许可的结果。由于连续决策变量和二元决策变量同时存在,优化问题具有非线性和混合性。采用五种确定性和非确定性优化方法求解决策问题。最后,对不同优化方法的性能进行了对比分析。
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引用次数: 3
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2018 International Interdisciplinary PhD Workshop (IIPhDW)
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