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Optimal scheduling of renewable micro-grids considering plug-in hybrid electric vehicle charging demand

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  • Kamankesh, Hamidreza
  • Agelidis, Vassilios G.
  • Kavousi-Fard, Abdollah

Abstract

In this paper, the optimal energy management of MGs (micro grids) including RESs (renewable energy sources), PHEVs (plug-in hybrid electric vehicles) and storage devices is studied by a new stochastic framework that considers the uncertainties in modelling of PHEVs and RESs using the well-known Monte Carlo simulation. In order to see the influence of different charging behaviours of PHEVs in the MG, three different charging patterns including uncontrolled, controlled and smart charging schemes are investigated. To study the optimal operation of the MG including the natural stochastic behaviour of the uncertain parameters, a new robust and powerful SOS (Symbiotic Organisms Search) algorithm is applied too. SOS simulates the interactions observed among natural organisms relying on other organisms to survive. In addition, a new modified version of the SOS algorithm is suggested to increase its total search ability in the local and global searches successfully. The performance of the proposed method is examined on two typical MG test systems with different scheduling time horizons. The results of applying the proposed method on the case studies are compared to other algorithms in different conditions with and without the PHEV charging effects.

Suggested Citation

  • Kamankesh, Hamidreza & Agelidis, Vassilios G. & Kavousi-Fard, Abdollah, 2016. "Optimal scheduling of renewable micro-grids considering plug-in hybrid electric vehicle charging demand," Energy, Elsevier, vol. 100(C), pages 285-297.
    • Handle: RePEc:eee:energy:v:100:y:2016:i:c:p:285-297
    DOI: 10.1016/j.energy.2016.01.063
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    References listed on IDEAS

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    1. Moghaddam, Amjad Anvari & Seifi, Alireza & Niknam, Taher & Alizadeh Pahlavani, Mohammad Reza, 2011. "Multi-objective operation management of a renewable MG (micro-grid) with back-up micro-turbine/fuel cell/battery hybrid power source," Energy, Elsevier, vol. 36(11), pages 6490-6507.
    2. Thiam, Djiby-Racine, 2010. "Renewable decentralized in developing countries: Appraisal from microgrids project in Senegal," Renewable Energy, Elsevier, vol. 35(8), pages 1615-1623.
    3. Niknam, Taher & Azizipanah-Abarghooee, Rasoul & Narimani, Mohammad Rasoul, 2012. "Reserve constrained dynamic optimal power flow subject to valve-point effects, prohibited zones and multi-fuel constraints," Energy, Elsevier, vol. 47(1), pages 451-464.
    4. Pipattanasomporn, Manisa & Feroze, Hassan & Rahman, Saifur, 2012. "Securing critical loads in a PV-based microgrid with a multi-agent system," Renewable Energy, Elsevier, vol. 39(1), pages 166-174.
    5. Zare, Mohsen & Niknam, Taher, 2013. "A new multi-objective for environmental and economic management of Volt/Var Control considering renewable energy resources," Energy, Elsevier, vol. 55(C), pages 236-252.
    6. Kavousi-Fard, Abdollah & Abunasri, Alireza & Zare, Alireza & Hoseinzadeh, Rasool, 2014. "Impact of plug-in hybrid electric vehicles charging demand on the optimal energy management of renewable micro-grids," Energy, Elsevier, vol. 78(C), pages 904-915.
    7. Niknam, Taher & Golestaneh, Faranak & Malekpour, Ahmadreza, 2012. "Probabilistic energy and operation management of a microgrid containing wind/photovoltaic/fuel cell generation and energy storage devices based on point estimate method and self-adaptive gravitational," Energy, Elsevier, vol. 43(1), pages 427-437.
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