城市污水处理过程优化设定方法研究进展

城市污水处理过程优化运行的目标是保证出水水质达标, 降低运行成本. 为了实现该目标, 需要动态更新污水处理过程操作变量的最优设定值. 由于城市污水处理过程具有多变量、多冲突、多目标、多约束、动态、时变等特点, 如何设计精确的污水处理过程运行指标模型, 如何优化过程操作变量的最优设定值, 是实现城市污水处理过程优化运行亟待解决的难题. 本文梳理了城市污水处理过程优化设定方法的研究进展. 首先, 介绍了城市污水处理过程特性和过程优化设定问题; 其次, 分别概述了基于机理和基于数据驱动的城市污水处理过程运行指标建模方法; 然后, 分别讨论了城市污水处理过程单运行指标和多运行指标的操作变量设定值寻优算法; 最后, 展望了城市污水处理过程优化设定问题的未来研究方向.

Perspectives on Optimal Setting Methods for Municipal Wastewater Treatment Processes

In municipal wastewater treatment processes (MWWTPs), the object of optimal operation is to guarantee water quality standard and reduce operation cost. To achieve these goals, it is necessary to update the optimal set-point values of operation variables in MWWTPs in real time. However, the MWWTP is a complex system, which has multi-variables, multi-conflicts, multi-objectives, multi-constraints, dynamics and time-varying delays. Therefore, to realize the optimal operation of MWWTPs, two important problems are how to design the accurate operation indices models of MWWTPs and how to optimize the set-point values of operation variables. In this paper, some existing optimal setting methods of MWWTPs are reviewed. Firstly, the characteristics of MWWTPs and the optimal setting problem are introduced. Secondly, the mechanism-based and data-driven operation indices modeling methods of MWWTPs are described, respectively. Then, the optimization algorithms for single operation variables and multiple operation variables are given, respectively. Finally, some future work about the optimal setting methods of MWWTPs are discussed.