Profit-seeking energy-intensive enterprises participating in power system scheduling: Model and mechanism. (15th November 2015)

• Record Type: Journal Article
• Authors: Chen, Runze; Sun, Hongbin; Guo, Qinglai; Jin, Hongyang; Wu, Wenchuan; Zhang, Boming
• Is Part Of: Applied energy. Volume 158(2015)
• Page Start: 263
• Page End: 274
• Publication Date: 2015-11-15
• Subjects: Energy-intensive enterprises -- Load management -- Coordinative scheduling -- Unit commitment -- Renewable energy; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2015.08.018
• Languages: English
• ISSNs: 0306-2619

Abstract

Highlights: A general strategy of modeling energy-intensive enterprises (EIEs) is given. A system-EIE coordination mechanism concerning EIE's privacy is designed. The formulation and algorithm of the decentralized coordination problem are given. Cases that demonstrate the effectiveness of the proposed approach are included. Abstract: Energy-intensive enterprises (EIEs) are typical kinds of industrial loads. They consume large amounts of electricity, and are very sensitive to electricity prices. Moreover, they have very good schedulability: they own various adjustable devices and dispatchable self-owned generation units, and have great flexibility in making production decisions. The characteristics of EIEs make them potentially ideal for coordinating with power systems and gaining a win–win situation, especially when the renewable energy penetration rate is high. However, problems still remain as to how to organize this coordination. In this paper, we design a decomposed coordinative scheduling (DCS) approach in which independent EIEs and the system exchange information iteratively to achieve final settlements. Based on a general modeling of EIEs, we introduce a mathematical formulation for DCS. The corresponding algorithm is also provided. We compare DCS to other scheduling approaches in case studies. It shows that DCS can significantly improve the benefits of the two sides without harming the privacy of EIEs.