An inexact two-stage fractional energy systems planning model. (1st October 2018)

• Record Type: Journal Article
• Authors: Song, Tangnyu; Huang, Guohe; Zhou, Xiong; Wang, Xiuquan
• Is Part Of: Energy. Volume 160(2018)
• Page Start: 275
• Page End: 289
• Publication Date: 2018-10-01
• Subjects: Two-stage programming -- Linear fractional programming -- Interval-parameter programming -- Energy systems planning -- Uncertainties; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2018.06.158
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: In this study, an inexact two-stage fractional energy systems planning model (ITF-ESP) is developed through an integration of interval-parameter programming (IPP), two-stage stochastic programming (TSP), fractional programming (FP), and mixed integer linear programming (MILP) methods. Since the proposed model could not be solved directly, it is converted into two interactive sub-models. In order to obtain more precise interval solutions, the sub-model corresponding to f − is solved first. The developed ITF-ESP model is considered as an efficient approach to address dual-objective optimization problems involving capacity expansion issues and policy scenario analysis, as well as uncertainties described as intervals and probability distributions. Effectiveness of the ITF-ESP model is demonstrated through a case study within a Chinese context. The results indicate that although the non-renewable technologies would still play a major role in electricity generation, the renewable technologies are becoming increasingly significant. Comparisons of the ITF-ESP model and the least-cost model are conducted to illustrate the advantages of the proposed ITF-ESP model in reflecting trade-offs between economic development and environmental protection. In addition, compared with the chance-constrained two-stage fractional optimization model (CTFO), interval solutions obtained from the ITF-ESP model can provide multiple alternative management plans in terms of electricity generation and capacity expansion. Highlights: An inexact two-stage fractional energy systems planning model (ITF-ESP) is developed. Interval solutions can provide multiple management plans in energy systems. Conflicting objectives, interactive effects and dynamic variations are considered. Comparative models are introduced to illustrate the advantages of the ITF-ESP model.