摘要
为了获得泵站高能源效率并使各泵组累计运行时间趋于一致,分别建立了峰谷电价下泵站能源费用及泵组累计运行时间差两个目标函数,以水厂取水泵站为研究对象,建立了优化问题的约束并提出了基于粒子群优化的求解方法.仿真结果表明:所提出的多目标优化调度方法切实可行,能实现两个优化目标的平衡,且满足取水泵站优化调度需求.
A multi-objective optimal scheduling approach of pump stations is proposed in this paper, with the purpose to get better energy efficiency and reduce the gaps between the accumulative running times of pump units. An intake pump station of a water treatment plant is taken as a case study, where the constraints of the corresponding optimization problems are formulated. Particle swarm optimization technique is further proposed to solve the optimization problems. The simulation results convince the feasibility of the proposed approach, which can balance the two objectives and satisfy the requirements of the optimization of intake pump stations.
出处
《中南民族大学学报（自然科学版）》
CAS
2013年第3期72-76,共5页
Journal of South-Central University for Nationalities：Natural Science Edition
基金
江苏省自然科学基金资助项目(SBK201121841)
湖北省自然科学基金资助项目(2011CDB277)
关键词
泵站
优化调度
峰谷电价
运行时间
粒子群优化
pump station
optimal scheduling
time-of-use tariff
accumulative running time
particle swarm optimization
作者简介
唐玉玲（1975-），女，讲师，研究方向：先进控制理论、能源系统优化与控制、控制工程与控制设备等，E-mail：tylzsr@163．com.
