Cost-optimal model predictive scheduling of freezers

被引：6

作者：

Balint, Roland ^{[1
]}

Fodor, Attila ^{[1
]}

Hangos, Katalin M. ^{[1
,2
]}

Magyar, Attila ^{[1
]}

机构：

[1] Univ Pannonia, Fac Informat Technol, Dept Elect Engn & Informat Syst, Egyet Str 10, H-8200 Veszprem, Hungary

[2] HAS Res Inst Comp Sci & Control, Proc Control Res Grp, Kende Str 13-17, H-1111 Budapest, Hungary

来源：

CONTROL ENGINEERING PRACTICE | 2018年 / 80卷

关键词：

Smart grids; Demand side management; Model predictive control; Heuristics; Scheduling algorithms; HOME APPLIANCES; ENERGY; COORDINATION; OPTIMIZATION; SYSTEM;

D O I：

10.1016/j.conengprac.2018.08.009

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A cost-optimal model predictive scheduling algorithm is presented that operates in a day-ahead market. The underlying optimizer is a heuristic branch and bound algorithm that finds the constrained optimal scheduling of a freezer with respect to hourly changing energy price. The method is also able to iteratively re-estimate the heat capacity of the freezer. Simulation experiments were performed on a freezer model identified from measurement data. Results show that the proposed algorithm successfully decreased the cost of operation, however the computational complexity increases when the price is growing. The proposed method can be generalized for home appliances of different kind.

引用

页码：61 / 69

页数：9

共 24 条

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