[1]朱丹,陈森发,徐南荣.城市供水系统的离散模型及优化方法[J].东南大学学报(自然科学版),1989,19(4):99-106.[doi:10.3969/j.issn.1001-0505.1989.04.014]
 Zhu Dan(Nanjing Power College)Chen Senfa Xu Nanrong(Institute of Management).Discrete Model and Optimization of Urban Water Supply System Scheduling[J].Journal of Southeast University (Natural Science Edition),1989,19(4):99-106.[doi:10.3969/j.issn.1001-0505.1989.04.014]
点击复制

城市供水系统的离散模型及优化方法()
分享到:

《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
19
期数:
1989年第4期
页码:
99-106
栏目:
本刊信息
出版日期:
1989-07-20

文章信息/Info

Title:
Discrete Model and Optimization of Urban Water Supply System Scheduling
作者:
朱丹陈森发徐南荣
南京动力专科学校; 东南大学自动化研究所
Author(s):
Zhu Dan(Nanjing Power College)Chen Senfa Xu Nanrong(Institute of Management)
关键词:
最优化 最优控制 建模及优化 供水系统 优化调度
Keywords:
optimization optimal control modeling and optimization water supply sysiom optimal scheduling
分类号:
+
DOI:
10.3969/j.issn.1001-0505.1989.04.014
摘要:
本文针对国内大部分城市供水系统的现状,论述了供水泵站的最优控制问题,以求降低功耗。文中提出了一种带离散控制向量的优化模型,并给出了一种实际可行的寻优方案。本方案将传统的单方向搜索改为方向区域内的搜索;根据实际意义确定步长范围;用可行方向法处理约束;以分级优化结构加速收敛。本方案在实例仿真中,计算时间小于五分钟,最优性误差(或次优性)小于1%。
Abstract:
Based on the existing cases of urban water supply system in domestic cities, this paper discusses the problem of optimal controlling (or scheduling) for pumping station so as to reduce the power consumption. An optimizing model with discrete controlling vectors is proposod and an optimizing scheme is given. In this scheme, the traditional single direction searching is replaced by the searching among a direction range, the step length is determined practically, and the constraints are dealt through the ε-active direction. The whole scheme is divided into two levels so as to accelerate converging. The simulation of an example shows that the computing time is less than five min and the optimality error (or suboptimality) less than 1%.

相似文献/References:

[1]殷国栋,吴昊,张宁,等.基于LMI的4WS-4WD车辆H∞鲁棒控制器设计[J].东南大学学报(自然科学版),2016,46(6):1165.[doi:10.3969/j.issn.1001-0505.2016.06.010]
 Yin Guodong,Wu Hao,Zhang Ning,et al.H∞ robust controller design for 4WS-4WD vehicle based on LMI[J].Journal of Southeast University (Natural Science Edition),2016,46(4):1165.[doi:10.3969/j.issn.1001-0505.2016.06.010]

更新日期/Last Update: 2013-04-30