An integrated optimization model for generation and batch production load scheduling in energy intensive enterprise

Zhaojie Wang; Feng Gao; Qiaozhu Zhai; Xiaohong Guan; Kun Liu; Dianmin Zhou

doi:10.1109/PESGM.2012.6345296

An integrated optimization model for generation and batch production load scheduling in energy intensive enterprise

Zhaojie Wang
, Feng Gao
, Qiaozhu Zhai
, Xiaohong Guan
, Kun Liu
, Dianmin Zhou

Faculty of Electronic and Information Engineering

Xi'an Jiaotong University
Shanghai Baosteel Research Institute

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

37 Scopus citations

Abstract

Reducing electricity cost is important for energy intensive enterprises (EIEs) with self generation power plant, like iron and steel plants. Such an EIE integrates power generation, power consumption and energy storage into a unified whole, and become an enterprise microgrid. Recent methods considering only load scheduling or only power generation scheduling cannot get the minimum total electricity cost. In this paper, an integrated optimization model for generation and batch production load scheduling in EIE is researched to get the minimum electricity cost, without violating constraints of production process. Linearization techniques are utilized to duel with nonlinear factors of the model. Then, mixed integer linear programming (MILP) is used for model solution. The case study of an iron and steel plant shows that the model is effective under a time-of-use (TOU) tariff implemented by the utility.

Original language	English
Title of host publication	2012 IEEE Power and Energy Society General Meeting, PES 2012
DOIs	https://doi.org/10.1109/PESGM.2012.6345296
State	Published - 2012
Event	2012 IEEE Power and Energy Society General Meeting, PES 2012 - San Diego, CA, United States Duration: 22 Jul 2012 → 26 Jul 2012

Publication series

Name	IEEE Power and Energy Society General Meeting
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2012 IEEE Power and Energy Society General Meeting, PES 2012
Country/Territory	United States
City	San Diego, CA
Period	22/07/12 → 26/07/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

batch production load
energy intensive enterprise
microgrid
scheduling
self generation power plant

Access to Document

10.1109/PESGM.2012.6345296

Cite this

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title = "An integrated optimization model for generation and batch production load scheduling in energy intensive enterprise",

abstract = "Reducing electricity cost is important for energy intensive enterprises (EIEs) with self generation power plant, like iron and steel plants. Such an EIE integrates power generation, power consumption and energy storage into a unified whole, and become an enterprise microgrid. Recent methods considering only load scheduling or only power generation scheduling cannot get the minimum total electricity cost. In this paper, an integrated optimization model for generation and batch production load scheduling in EIE is researched to get the minimum electricity cost, without violating constraints of production process. Linearization techniques are utilized to duel with nonlinear factors of the model. Then, mixed integer linear programming (MILP) is used for model solution. The case study of an iron and steel plant shows that the model is effective under a time-of-use (TOU) tariff implemented by the utility.",

keywords = "batch production load, energy intensive enterprise, microgrid, scheduling, self generation power plant",

author = "Zhaojie Wang and Feng Gao and Qiaozhu Zhai and Xiaohong Guan and Kun Liu and Dianmin Zhou",

year = "2012",

doi = "10.1109/PESGM.2012.6345296",

language = "英语",

isbn = "9781467327275",

series = "IEEE Power and Energy Society General Meeting",

booktitle = "2012 IEEE Power and Energy Society General Meeting, PES 2012",

note = "2012 IEEE Power and Energy Society General Meeting, PES 2012 ; Conference date: 22-07-2012 Through 26-07-2012",

}

Wang, Z, Gao, F, Zhai, Q , Guan, X , Liu, K & Zhou, D 2012, An integrated optimization model for generation and batch production load scheduling in energy intensive enterprise. in 2012 IEEE Power and Energy Society General Meeting, PES 2012., 6345296, IEEE Power and Energy Society General Meeting, 2012 IEEE Power and Energy Society General Meeting, PES 2012, San Diego, CA, United States, 22/07/12. https://doi.org/10.1109/PESGM.2012.6345296

An integrated optimization model for generation and batch production load scheduling in energy intensive enterprise. / Wang, Zhaojie; Gao, Feng; Zhai, Qiaozhu et al.
2012 IEEE Power and Energy Society General Meeting, PES 2012. 2012. 6345296 (IEEE Power and Energy Society General Meeting).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An integrated optimization model for generation and batch production load scheduling in energy intensive enterprise

AU - Wang, Zhaojie

AU - Gao, Feng

AU - Zhai, Qiaozhu

AU - Guan, Xiaohong

AU - Liu, Kun

AU - Zhou, Dianmin

PY - 2012

Y1 - 2012

N2 - Reducing electricity cost is important for energy intensive enterprises (EIEs) with self generation power plant, like iron and steel plants. Such an EIE integrates power generation, power consumption and energy storage into a unified whole, and become an enterprise microgrid. Recent methods considering only load scheduling or only power generation scheduling cannot get the minimum total electricity cost. In this paper, an integrated optimization model for generation and batch production load scheduling in EIE is researched to get the minimum electricity cost, without violating constraints of production process. Linearization techniques are utilized to duel with nonlinear factors of the model. Then, mixed integer linear programming (MILP) is used for model solution. The case study of an iron and steel plant shows that the model is effective under a time-of-use (TOU) tariff implemented by the utility.

AB - Reducing electricity cost is important for energy intensive enterprises (EIEs) with self generation power plant, like iron and steel plants. Such an EIE integrates power generation, power consumption and energy storage into a unified whole, and become an enterprise microgrid. Recent methods considering only load scheduling or only power generation scheduling cannot get the minimum total electricity cost. In this paper, an integrated optimization model for generation and batch production load scheduling in EIE is researched to get the minimum electricity cost, without violating constraints of production process. Linearization techniques are utilized to duel with nonlinear factors of the model. Then, mixed integer linear programming (MILP) is used for model solution. The case study of an iron and steel plant shows that the model is effective under a time-of-use (TOU) tariff implemented by the utility.

KW - batch production load

KW - energy intensive enterprise

KW - microgrid

KW - scheduling

KW - self generation power plant

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U2 - 10.1109/PESGM.2012.6345296

DO - 10.1109/PESGM.2012.6345296

M3 - 会议稿件

AN - SCOPUS:84870604147

SN - 9781467327275

T3 - IEEE Power and Energy Society General Meeting

BT - 2012 IEEE Power and Energy Society General Meeting, PES 2012

T2 - 2012 IEEE Power and Energy Society General Meeting, PES 2012

Y2 - 22 July 2012 through 26 July 2012

ER -

An integrated optimization model for generation and batch production load scheduling in energy intensive enterprise

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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