文献类型：期刊文献

中文题名：考虑微生物风险的城市污水处理多目标优化控制

英文题名：Multi-objective optimal control of urban wastewater treatment considering microbiological risk

作者：闵佳峰[1];彭鑫[1];李智[1];钟伟民[1];潘红光[2]

机构：[1]华东理工大学化工过程先进控制与优化技术教育部重点实验室,上海200237;[2]西安科技大学电气与控制工程学院,陕西西安710054

年份：2020

卷号：34

期号：6

起止页码：1482

中文期刊名：高校化学工程学报

外文期刊名：Journal of Chemical Engineering of Chinese Universities

收录：CSTPCD;;EI(收录号：20210509872222);Scopus;北大核心:【北大核心2017】；CSCD:【CSCD2019_2020】；

基金：国家自然科学基金(61890930-3,61925305,61803157);高等学校学科创新“111”引智计划(B17017);中央高校基本科研业务费(222201917006)。

语种：中文

中文关键词：污水处理;微生物风险;优化控制;支持向量回归机;多目标差分进化

外文关键词：wastewater treatment;microbiological risk;optimal control;support vector regression machine;multi-objective differential evolutionary

摘要：针对城市污水处理过程中因污泥沉降不充分而影响出水水质的问题,提出考虑微生物风险的城市污水处理多目标优化控制方法。选择对污泥沉降影响大的变量作为被控变量,利用支持向量回归机建立溶解氧、污泥龄与污水处理能耗成本、出水水质和微生物风险的稳态模型;采用多目标差分进化算法同时对能耗成本、出水水质和微生物风险在线优化,基于风险优化对溶解氧和污泥龄的优化设定值筛选决策;利用抗积分饱和PI控制对优化设定值实时跟踪。在污水处理基准仿真平台benchmark simulation model no.1的实验结果表明,相比仅优化能耗成本和出水水质,该方法使得高微生物风险比例下降了25.35%。
A multi-objective optimal control approach considering microbiological risk was proposed due to the deterioration of effluent quality by insufficient sludge settlement in urban wastewater treatment process.The steady-state models of energy consumption(EC),effluent quality(EQ)and microbiological risk(MR)were developed through support vector regression machine by selecting variables affecting sludge settlement as controlled variables.Multi-objective differential evolutionary algorithm was utilized to optimize EC,EQ and MR,and the optimal setpoints of dissolved oxygen(ρO,3)and sludge retention time(SRT)were determined based on microbiological risk optimization and traced using anti-windup PI controllers.The experimental results on benchmark simulation model no.1(BSM1)for wastewater treatment demonstrated that the proposed method reduces high microbiological risk ratio by 25.35%compared with the EC and EQ optimization merely.