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A Structural Adjustment optimization model for electric-power system management under multiple Uncertainties—A case study of Urumqi city, China

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  • Wang, S.
  • Xie, Y.L.
  • Huang, G.H.
  • Yao, Y.
  • Wang, S.Y.
  • Li, Y.F.

Abstract

In this study,a structural adjustment optimization model for electric-power system management under fuzzy-random environment was developed for regional electric power system management in Urumqi, China. The emission control policy andstructural adjustment are considered and quantified in the developed model to tackle the electric power problems of a regional electric-power system. The objective of this study was to develop a power structural adjustment optimization model with fuzzy-random parameters for discussing the effects, merits and defects of structural adjustment and policy adjustment to manage the electric power system of the city Urumqi. Finally, the results and comparisons analysis of the case study demonstrated the practicality and efficiency of the optimization method. The results indicated that the model can provide an effective linkage between conflicting economic cost and the system stability, and different power demand levels correspond to different electricity generation schemes with varied energy policy and power structural adjustment. The power generation schemes, pollution emission and CO2 emission were analyzed. The modeling results are valuable for supporting the adjustment or justification of the energy policies and structures within a complicated power system under uncertainty.

Suggested Citation

  • Wang, S. & Xie, Y.L. & Huang, G.H. & Yao, Y. & Wang, S.Y. & Li, Y.F., 2021. "A Structural Adjustment optimization model for electric-power system management under multiple Uncertainties—A case study of Urumqi city, China," Energy Policy, Elsevier, vol. 149(C).
    • Handle: RePEc:eee:enepol:v:149:y:2021:i:c:s0301421520307679
    DOI: 10.1016/j.enpol.2020.112056
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    1. Dong, C. & Huang, G.H. & Cai, Y.P. & Xu, Y., 2011. "An interval-parameter minimax regret programming approach for power management systems planning under uncertainty," Applied Energy, Elsevier, vol. 88(8), pages 2835-2845, August.
    2. Liu, Wen & Lund, Henrik & Mathiesen, Brian Vad, 2013. "Modelling the transport system in China and evaluating the current strategies towards the sustainable transport development," Energy Policy, Elsevier, vol. 58(C), pages 347-357.
    3. H. Lu & G. Huang & G. Zeng & I. Maqsood & L. He, 2008. "An Inexact Two-stage Fuzzy-stochastic Programming Model for Water Resources Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(8), pages 991-1016, August.
    4. Antunes, C.Henggeler & Martins, A.Gomes & Brito, Isabel Sofia, 2004. "A multiple objective mixed integer linear programming model for power generation expansion planning," Energy, Elsevier, vol. 29(4), pages 613-627.
    5. Mavrotas, George & Diakoulaki, Danae & Florios, Kostas & Georgiou, Paraskevas, 2008. "A mathematical programming framework for energy planning in services' sector buildings under uncertainty in load demand: The case of a hospital in Athens," Energy Policy, Elsevier, vol. 36(7), pages 2415-2429, July.
    6. Lin, Q.G. & Huang, G.H. & Bass, B. & Qin, X.S., 2009. "IFTEM: An interval-fuzzy two-stage stochastic optimization model for regional energy systems planning under uncertainty," Energy Policy, Elsevier, vol. 37(3), pages 868-878, March.
    7. Xie, Y.L. & Huang, G.H. & Li, W. & Ji, L., 2014. "Carbon and air pollutants constrained energy planning for clean power generation with a robust optimization model—A case study of Jining City, China," Applied Energy, Elsevier, vol. 136(C), pages 150-167.
    8. de L. Musgrove, A.R., 1984. "A linear programming analysis of liquid-fuel production and use options for Australia," Energy, Elsevier, vol. 9(4), pages 281-302.
    9. Xu, Jiuping & Yan, Fang & Li, Steven, 2011. "Vehicle routing optimization with soft time windows in a fuzzy random environment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 1075-1091.
    10. Heinrich, G. & Howells, M. & Basson, L. & Petrie, J., 2007. "Electricity supply industry modelling for multiple objectives under demand growth uncertainty," Energy, Elsevier, vol. 32(11), pages 2210-2229.
    11. Anagnostopoulos, K.P. & Petalas, C., 2011. "A fuzzy multicriteria benefit-cost approach for irrigation projects evaluation," Agricultural Water Management, Elsevier, vol. 98(9), pages 1409-1416, July.
    12. Li, Y.F. & Huang, G.H. & Li, Y.P. & Xu, Y. & Chen, W.T., 2010. "Regional-scale electric power system planning under uncertainty--A multistage interval-stochastic integer linear programming approach," Energy Policy, Elsevier, vol. 38(1), pages 475-490, January.
    Full references (including those not matched with items on IDEAS)

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    2. Yi Li & Wenjun Xu & Wenlong Zhang & Youyi Huang & Fenfen Wan & Wei Xiong, 2023. "The Life cycle Assessment Integrated with the Lexicographic Method for the Multi-Objective Optimization of Community-Based Rainwater Utilization," IJERPH, MDPI, vol. 20(3), pages 1-20, January.
    3. Hailin Mu & Zhewen Pei & Hongye Wang & Nan Li & Ye Duan, 2022. "Optimal Strategy for Low-Carbon Development of Power Industry in Northeast China Considering the ‘Dual Carbon’ Goal," Energies, MDPI, vol. 15(17), pages 1-22, September.

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