Power, Control, and Data Processing Systems

Power, Control, and Data Processing Systems

Economic Operation of Multi-Carrier Microgrids Considering Energy Markets and Renewable Electricity Production

Document Type : Original Research

Authors
Sina Ahhmadi
Mehrdad Setayesh Nazar
Department of Electrical Engineering, Shahid Beheshti University, Tehran, Iran
10.30511/pcdp.2025.2060622.1025
Abstract
This study proposes a stochastic mixed-integer linear programming model for the optimal operation of a microgrid incorporating multiple energy carriers. Due to the inherent uncertainty in renewable energy generation, sudden high power generation from renewable sources may occur that the system cannot utilize directly. Nonetheless, these surplus energies can be transformed into other carriers. In this study, a probabilistic distribution function has been utilized to implement the stochastic model. The analysis results demonstrate that this approach effectively captures the stochastic behavior of the system. The research models and evaluates electric and hydrogen vehicle parking lots to assess their roles within the system. The approach is tested through two scenarios, demonstrating significant reductions in operational costs by effectively leveraging the sudden renewable energy surges. Operational costs for the first and second scenarios are 19,526 and 15,671 MU, respectively. A sensitivity analysis is also performed to confirm the robustness of the findings, ensuring the model’s reliability under various conditions.
Keywords
microgrid operation
energy markets
renewable resources
multi-carrier
and sudden energy production

Subjects

[1]    S. Ahmadi and M. S. Nazar, “Stochastic Day-Ahead Economic Operation Scheduling of Multi-Carrier Microgrids Considering Energy Markets and Demand Response,” in 2025 12th Iranian Conference on Renewable Energies and Distributed Generation (ICREDG), IEEE, 2025, pp. 1–6.
[2]    V. Amir and M. Azimian, “Dynamic multi-carrier microgrid deployment under uncertainty,” Appl. Energy, vol. 260, p. 114293, 2020.
[3]    H. Masrur, M. Shafie-Khah, M. J. Hossain, and T. Senjyu, “Multi-energy microgrids incorporating EV integration: Optimal design and resilient operation,” IEEE Trans. Smart Grid, vol. 13, no. 5, pp. 3508–3518, 2022.
[4]    J. Kalina and W. Pohl, “Technical and economic analysis of a multicarrier building energy hub concept with heating loads at different temperature levels,” Energy, vol. 288, p. 129882, 2024.
[5]    Q. Wu, M. Chen, H. Ren, Q. Li, and W. Gao, “Collaborative modeling and optimization of energy hubs and multi-energy network considering hydrogen energy,” Renew. Energy, vol. 227, p. 120489, 2024.
[6]    F. Kamyab and S. Bahrami, “Efficient operation of energy hubs in time-of-use and dynamic pricing electricity markets,” Energy, vol. 106, pp. 343–355, 2016.
[7]    Y. Wan, T. Kober, T. Schildhauer, T. J. Schmidt, R. McKenna, and M. Densing, “Conditions for profitable operation of p2x energy hubs to meet local demand with energy market access,” Adv. Appl. Energy, vol. 10, p. 100127, 2023.
[8]    J. Cao, B. Yang, S. Zhu, C. Y. Chung, and X. Guan, “Multi-level coordinated energy management for energy hub in hybrid markets with distributionally robust scheduling,” Appl. Energy, vol. 311, p. 118639, 2022.
[9]    A. Moradi, J. Salehi, and M. Shafie-khah, “An interactive framework for strategic participation of a price-maker energy hub in the local gas and power markets based on the MPEC method,” Energy, vol. 307, p. 132608, 2024.
[10]    S. Gu, C. Rao, S. Yang, Z. Liu, A. U. Rehman, and M. A. Mohamed, “Day-Ahead market model based coordinated multiple energy management in energy hubs,” Sol. Energy, vol. 262, p. 111877, 2023.
[11]    H. Lund and E. Münster, “Management of surplus electricity-production from a fluctuating renewable-energy source,” Appl. Energy, vol. 76, no. 1–3, pp. 65–74, 2003.
[12]    H. Zaker, A. Rasouli, A. H. Alobaidi, and M. Sedighizadeh, “Optimal dispatch of multi-carrier energy system considering energy storage and electric vehicles,” J. Energy Storage, vol. 90, p. 111794, 2024.
[13]    A. Bostan, M. S. Nazar, M. Shafie-Khah, and J. P. S. Catalão, “Optimal scheduling of distribution systems considering multiple downward energy hubs and demand response programs,” Energy, vol. 190, p. 116349, 2020.
[14]    M. Armioun, M. S. Nazar, M. Shafie-khah, and P. Siano, “Optimal scheduling of CCHP-based resilient energy distribution system considering active microgrids’ multi-carrier energy transactions,” Appl. Energy, vol. 350, p. 121719, 2023.
[15]    S. Ahmadi;, M. M. Amiri;, M. S. Nazar;, and M. T. Ameli, “Day-ahead optimal scheduling for a energy hub operation considering markets for electricity, heat, cooling and gas,” in The 14th International Conference on Smart Grids, https://sgc2024.khatam.ac.ir/en/, 2025.
[16]    S. Aghajan-Eshkevari, S. Azad, M. Nazari-Heris, M. T. Ameli, and S. Asadi, “Charging and discharging of electric vehicles in power systems: An updated and detailed review of methods, control structures, objectives, and optimization methodologies,” Sustainability, vol. 14, no. 4, p. 2137, 2022.
Power, Control, and Data Processing Systems
Volume 2, Issue 2
Spring 2025
Pages 53-60

  • Receive Date 14 May 2025
  • Revise Date 20 May 2025
  • Accept Date 22 May 2025
  • First Publish Date 22 May 2025
  • Publish Date 01 June 2025