A model predictive control strategy for load shifting in a water pumping scheme with maximum demand charges

被引:97
|
作者
van Staden, Adam Jacobus [1 ]
Zhang, Jiangfeng [1 ]
Xia, Xiaohua [1 ]
机构
[1] Univ Pretoria, Dept Elect Elect & Comp Engn, Ctr New Energy Syst, ZA-0002 Pretoria, South Africa
基金
新加坡国家研究基金会;
关键词
Demand side management; Maximum demand; Model predictive control; Optimal control; Water pumping; MANAGEMENT; SYSTEMS; OPTIMIZATION; PLANT;
D O I
10.1016/j.apenergy.2011.06.054
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper defines and simulates a closed-loop optimal control strategy for load shifting in a plant that is charged for electricity on both time-of-use (TOU) and maximum demand (MD). A model predictive control approach is used to implement the closed-loop optimal control model, and the optimization problem is solved with integer programming. The simulated control model yields near optimal switching times which reduce the IOU and MD costs. The results show a saving of 5.8% for the overall plant, and the largest portion of the saving is due to a reduction in MD. The effect of disturbances, model uncertainty and plant failure is also simulated to demonstrate the benefits of a model predictive control model. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:4785 / 4794
页数:10
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