Real-Time Distributed Optimal Control Considering Power Supply Constraint for Deferrable Loads Scheduling

被引：0
|
作者：
Kang, Mengya [1 ]
Wen, Chenglin [1 ]
Wu, Chenxi [1 ]
机构：
[1] Hangzhou Dianzi Univ, Sch Automat, Hangzhou 310018, Zhejiang, Peoples R China
来源：
COGNITIVE SYSTEMS AND SIGNAL PROCESSING, ICCSIP 2016 | 2017年 / 710卷
基金：
中国国家自然科学基金;
关键词：
Deferrable loads scheduling; Power supply; Real-time distributed control; Optimal control;
D O I：
10.1007/978-981-10-5230-9_4
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In recent years, the ineffective utilization of power resources has attracted much attention. This paper proposes a real-time distributed load scheduling algorithm considering constraints of power supply. Firstly, an objective function is designed based on the constraint, which aims to transform the deferrable loads problem scheduling into a distributed optimal control problem. Then, to optimize the objective function, a real-time scheduling algorithm under power supply constraint is presented. At every time step, the purpose is to minimize the variance of differences between power supply and aggregate load. Finally, simulation examples are provided to illustrate the effectiveness of the proposed algorithm.
引用
收藏
页码：36 / 43
页数：8
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