Scheduling of a Single Flow Shop for Minimal Energy Cost Under Real-Time Electricity Pricing

被引：26

作者：

Zhang, Hao ^{[1
]}

Zhao, Fu ^{[1
]}

Sutherland, John W. ^{[2
]}

机构：

[1] Purdue Univ, Sch Mech Engn, W Lafayette, IN 47907 USA

[2] Purdue Univ, Div Environm & Ecol Engn, W Lafayette, IN 47907 USA

来源：

JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME | 2017年 / 139卷 / 01期

基金：

美国国家科学基金会;

关键词：

manufacturing scheduling; energy cost; real-time pricing; DEMAND RESPONSE;

D O I：

10.1115/1.4034275

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

A time-indexed integer programing approach is developed to optimize the manufacturing schedule of a factory for minimal energy cost under real-time pricing (RTP) of electricity. The approach is demonstrated using a flow shop operating during different time periods (i.e., day shift, swing shift, and night shift) in a microgrid, which also serves residential and commercial users. Results show that electricity cost can be reduced by 6.2%, 12.3%, and 21.5% for the three time periods considered, respectively. Additionally, a 6.3% cost reduction can be achieved by the residential and commercial buildings through adopting energy-conscious control strategies in this specific case study example.

引用

页数：5

共 14 条

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