摘要
针对前置反硝化工艺污水处理过程,提出了一种基于分工策略粒子群优化算法的优化控制方案.以国际水协会(IWA)开发的基准仿真模型BSM1为基础,综合考虑出水水质、曝气能耗和泵送能耗,通过动态优化底层PI控制器的最佳设定值达到出水水质高、能量消耗少的目的.基于分工策略的粒子群算法具有更强的全局寻优能力,仿真结果表明了该优化方案能够在保证污水水质达标的情况下,有效减少污水处理过程的能耗.
An optimization control scheme based on particle swarm optimization with division of work is proposed for pre-denitrification wastewater treatment process.Taking the benchmark simulation model（BSMl） as basis,and considering the effluent quality,the aeration and pumping energy consumption,and the best setting value of lower level PI（proportional-integral） controllers are optimized dynamically so as to improve the water quality of effluent with minimal energy consumption. The particle swarm optimization with division of work strategy has stronger global searching ability,and the simulation results show that using the presented optimal control scheme,the operation cost is significantly reduced while the effluent quality can meet the integrated wastewater discharge standard.
出处
《信息与控制》
CSCD
北大核心
2011年第5期698-703,共6页
Information and Control
基金
国家863计划资助项目(2009AA04Z155)
国家自然科学基金资助项目(60674066)
北京市教育委员会科技计划资助项目(KZ201010005005)
教育部新世纪优秀人才支持计划资助项目
关键词
污水处理
优化控制
BSM1
粒子群优化
wastewater treatment
optimal control
BSMl
particle swarm optimization（PSO）
