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Hybrid stochastic/robust flexible and reliable scheduling of secure networked microgrids with electric springs and electric vehicles

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  • Norouzi, Mohammadali
  • Aghaei, Jamshid
  • Pirouzi, Sasan
  • Niknam, Taher
  • Fotuhi-Firuzabad, Mahmud
  • Shafie-khah, Miadreza

Abstract

Electric spring (ES) as a novel concept in power electronics has been developed for the purpose of dealing with demand-side management. In this paper, to conquer the challenges imposed by intermittent nature of renewable energy sources (RESs) and other uncertainties for constructing a secure modern microgrid (MG), the hybrid distributed operation of ESs and electric vehicles (EVs) parking lot is suggested. The proposed approach is implemented in the context of a hybrid stochastic/robust optimization (HSRO) problem, where the stochastic programming based on unscented transformation (UT) method models the uncertainties associated with load, energy price, RESs, and availability of MG equipment. Also, the bounded uncertainty-based robust optimization (BURO) is employed to model the uncertain parameters of EVs parking lot to achieve the robust potentials of EVs in improving MG indices. In the subsequent stage, the proposed non-linear problem model is converted to linear approximated counterpart to obtain an optimal solution with low calculation time and error. Finally, the proposed power management strategy is analyzed on 32-bus test MG to investigate the hybrid cooperation of ESs and EVs parking lot capabilities in different cases. The numerical results corroborate the efficiency and feasibility of the proposed solution in modifying MG indices.

Suggested Citation

  • Norouzi, Mohammadali & Aghaei, Jamshid & Pirouzi, Sasan & Niknam, Taher & Fotuhi-Firuzabad, Mahmud & Shafie-khah, Miadreza, 2021. "Hybrid stochastic/robust flexible and reliable scheduling of secure networked microgrids with electric springs and electric vehicles," Applied Energy, Elsevier, vol. 300(C).
    • Handle: RePEc:eee:appene:v:300:y:2021:i:c:s0306261921007960
    DOI: 10.1016/j.apenergy.2021.117395
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    Cited by:

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    4. Sina Parhoudeh & Pablo Eguía López & Abdollah Kavousi Fard, 2023. "Stochastic Coordinated Management of Electrical–Gas–Thermal Networks in Flexible Energy Hubs Considering Day-Ahead Energy and Ancillary Markets," Sustainability, MDPI, vol. 15(13), pages 1-26, July.
    5. Abolfazl Mehbodniya & Ali Paeizi & Mehrdad Rezaie & Mahdi Azimian & Hasan Masrur & Tomonobu Senjyu, 2022. "Active and Reactive Power Management in the Smart Distribution Network Enriched with Wind Turbines and Photovoltaic Systems," Sustainability, MDPI, vol. 14(7), pages 1-21, April.
    6. Hamidpour, Hamidreza & Aghaei, Jamshid & Pirouzi, Sasan & Niknam, Taher & Nikoobakht, Ahmad & Lehtonen, Matti & Shafie-khah, Miadreza & Catalão, João P.S., 2022. "Coordinated expansion planning problem considering wind farms, energy storage systems and demand response," Energy, Elsevier, vol. 239(PD).
    7. Ali Toolabi Moghadam & Bahram Bahramian & Farid Shahbaazy & Ali Paeizi & Tomonobu Senjyu, 2023. "Stochastic Flexible Power System Expansion Planning, Based on the Demand Response Considering Consumption and Generation Uncertainties," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    8. Zhang, XiaoWei & Yu, Xiaoping & Ye, Xinping & Pirouzi, Sasan, 2023. "Economic energy managementof networked flexi-renewable energy hubs according to uncertainty modeling by the unscented transformation method," Energy, Elsevier, vol. 278(PB).
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