期刊
APPLIED ENERGY
卷 183, 期 -, 页码 1488-1497出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2016.09.021
关键词
Industrial manufacturing process; Real-time price; Timely decision; Robust optimization; Demand response
资金
- Human Resources Program in Energy Technology of the Korea Institute of Energy Technology Evaluation and Planning (KETEP)
- Ministry of Trade, Industry & Energy, Republic of Korea [20154030200730]
- Ansan-Si hidden champion fostering
- Ansan city
- Korea Evaluation Institute of Industrial Technology (KEIT) [20154030200730] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
- National Research Foundation of Korea [22A20130012806] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
The potential impacts of evolving industrial load management into demand response (DR) programs have been widely acknowledged. This paper proposes a real-time decision model for the load management of an industrial manufacturing process in the face of ever-changing real-time prices (RTPs). Due to the inherent dependence between consecutive tasks in a manufacturing process, the decision model must take future load management into consideration. The challenge lies in the uncertainty that future RTPs cannot be known in advance. In view of this, robust optimization was adopted to deal with future price uncertainties, such that the proposed model is able to make timely decisions for industrial load control when receiving the RTP for the current time slot, while considering load scheduling in future time slots. The case study was conducted on a steel powder manufacturing process; simulation results validated the effectiveness of the proposed real-time decision approach from various perspectives. (C) 2016 Elsevier Ltd. All rights reserved.
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