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Co-operation of electricity and natural gas systems including electric vehicles and variable renewable energy sources based on a continuous-time model approach

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  • Nikoobakht, Ahmad
  • Aghaei, Jamshid
  • Shafie-khah, Miadreza
  • Catalão, João P.S.

Abstract

This paper proposes a stochastic framework to augment the integration of variable renewable energy sources (VRESs) in power system scheduling. In this way, the fast-response capability of gas-fired generator units (GFGUs) and vehicle-to-grid (V2G) capability of electric vehicles (EVs) can play important roles in large-scale integration of VRESs. However, the growth of GFGUs utilization can increase the grade of interdependency between power and natural gas systems. In this condition, the power system tends to demand more reliability and flexibility from the natural gas system, which creates new challenges in power system scheduling. The likely significant growth of EVs can solve this challenge and reduce the correlation between power and natural gas systems, bringing new opportunities for power system scheduling. However, a considerable literature in the field of operation of GFGUs and EVs has only focused on using the hourly discrete time model (HDTM). Undoubtedly, the major limitation of HDTM is its inability to handle the fast sub-hourly dispatch of GFGUs and energy storage capability of EVs. Accordingly, in this paper, this limitation has been solved by the operation of both energy systems with a continuous time model (CTM). The reliability test system with a ten-node gas transmission system has been analysed to show the effectiveness of the proposed problem.

Suggested Citation

  • Nikoobakht, Ahmad & Aghaei, Jamshid & Shafie-khah, Miadreza & Catalão, João P.S., 2020. "Co-operation of electricity and natural gas systems including electric vehicles and variable renewable energy sources based on a continuous-time model approach," Energy, Elsevier, vol. 200(C).
    • Handle: RePEc:eee:energy:v:200:y:2020:i:c:s0360544220305910
    DOI: 10.1016/j.energy.2020.117484
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    References listed on IDEAS

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    Cited by:

    1. Dranka, Géremi Gilson & Ferreira, Paula & Vaz, A. Ismael F., 2021. "A review of co-optimization approaches for operational and planning problems in the energy sector," Applied Energy, Elsevier, vol. 304(C).
    2. Tan, Kang Miao & Ramachandaramurthy, Vigna K. & Yong, Jia Ying & Tariq, Mohd, 2021. "Experimental verification of a flexible vehicle-to-grid charger for power grid load variance reduction," Energy, Elsevier, vol. 228(C).
    3. Kamila Janovská & Iveta Vozòáková & Petr Besta & Marek Šafránek, 2021. "Ecological and economic multicriteria optimization of operating alternative propulsion vehicles within the city of Ostrava in the Czech Republic," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 16(4), pages 907-943, December.
    4. Zhang, Mingyang & Zhou, Ming & Wu, Zhaoyuan & Yang, Hongji & Li, Gengyin, 2022. "A ramp capability-aware scheduling strategy for integrated electricity-gas systems," Energy, Elsevier, vol. 241(C).

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