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.
作者
闵佳峰
彭鑫
李智
钟伟民
潘红光
MIN Jia-feng;PENG Xin;LI Zhi;ZHONG Wei-min;PAN Hong-guang(Key Laboratory of Advanced Control and Optimization for Chemical Processes,Ministry of Education,East China University of Science and Technology,Shanghai 200237,China;College of Electrical and Control Engineering,Xi’an University of Science and Technology,Xi’an 710054,China)
出处
《高校化学工程学报》
EI
CAS
CSCD
北大核心
2020年第6期1482-1491,共10页
Journal of Chemical Engineering of Chinese Universities
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)。
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
wastewater treatment
microbiological risk
optimal control
support vector regression machine
multi-objective differential evolutionary
作者简介
闵佳峰(1996-),男,浙江湖州人,华东理工大学硕士生;通信联系人:钟伟民,E-mail:wmzhong@ecust.edu.cn。
