A robust aggregate model and the two-stage solution method to incorporate energy intensive enterprises in power system unit commitment. (15th November 2017)

• Record Type: Journal Article
• Authors: Jin, Hongyang; Li, Zhengshuo; Sun, Hongbin; Guo, Qinglai; Chen, Runze; Wang, Bin
• Is Part Of: Applied energy. Volume 206(2017)
• Page Start: 1364
• Page End: 1378
• Publication Date: 2017-11-15
• Subjects: Energy-intensive enterprises -- Aggregate model -- Two-stage robust optimization -- Unit commitment -- Renewable integration; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2017.10.004
• Languages: English
• ISSNs: 0306-2619

Abstract

Highlights: An EIE aggregate model is formulated in the form of a conventional generator model. A two-stage robust method is developed to solve the problem. The cost function is developed based on the convex hull of the EIE cost region. The model dimension of the unit commitment with the EIE is drastically decreased. Benefits of the power system and the EIE are guaranteed. Abstract: Incorporating energy-intensive enterprises (EIEs) in power system unit commitments is beneficial for both power systems and EIEs. However, power systems and EIEs are typically operated by different entities, making it impractical to incorporate a full EIE model in the unit commitment because of the increasing model dimensions and consequent calculation efficiency and privacy issues. Therefore, a robust aggregate model (RAM) of the EIE is developed in this paper to simplify the detailed EIE model as a conventional generator; which ensures the robustness of the simplified model, i.e., all possible dispatch signals from system operators can be realized by EIEs. The flexibility of EIEs and the corresponding cost are also retained in the RAM. To obtain the technical parameters of the RAM, a two-stage robust problem is developed, and a modified column-constraint-generation solution method is proposed. In addition, the economic parameters of the RAM are obtained based on the upper convex hull of an EIE's maximum cost under given dispatch signals. With the proposed RAM, the dimensions and calculation time of the unit commitment incorporating EIEs are drastically decreased, and the EIE can reduce production costs while the system operator can reduce operational costs and increase wind integration.