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Optimal operation of autonomous microgrid including wind turbines

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  • Foroutan, Vahid B.
  • Moradi, Mohammad H.
  • Abedini, Mohammad

Abstract

This paper gives a novel hybrid optimization method to find optimal sitting and operation of an autonomous MG at the same time. The operation is optimized via finding the optimal droop gain parameters of DGs. The optimization problem is formulated as a multi-objective problem where the objectives are applied to minimize the fuel consumption of DGs and to improve the voltage profile and stability of MG subject to operational and security constraints. A hybrid algorithm, named HS-GA, is developed to solve the paper optimization problem. A new formulation of power flow is derived to run the proposed algorithm where the steady state frequency of system, reference frequency, reference voltage and droop coefficients of DGs, based on a droop controller, are considered as optimization variables. The performance of the paper approach is compared with other optimization and non-optimization methods in MG with 33and 69 buses using MATLAB. The performance of the proposed method is compared with a method that the parameters of DGs are pre-determined without conducting any optimization process. The results show, which optimized droop parameters improves the operation of the MG.

Suggested Citation

  • Foroutan, Vahid B. & Moradi, Mohammad H. & Abedini, Mohammad, 2016. "Optimal operation of autonomous microgrid including wind turbines," Renewable Energy, Elsevier, vol. 99(C), pages 315-324.
    • Handle: RePEc:eee:renene:v:99:y:2016:i:c:p:315-324
    DOI: 10.1016/j.renene.2016.07.008
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    References listed on IDEAS

    as
    1. Moradi, Mohammad Hassan & Abedini, Mohammad & Hosseinian, S. Mahdi, 2015. "Improving operation constraints of microgrid using PHEVs and renewable energy sources," Renewable Energy, Elsevier, vol. 83(C), pages 543-552.
    2. Khorramdel, Benyamin & Raoofat, Mahdi, 2012. "Optimal stochastic reactive power scheduling in a microgrid considering voltage droop scheme of DGs and uncertainty of wind farms," Energy, Elsevier, vol. 45(1), pages 994-1006.
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    Citations

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    Cited by:

    1. Moradi, Mohammad H. & Foroutan, Vahid Bahrami & Abedini, Mohammad, 2017. "Power flow analysis in islanded Micro-Grids via modeling different operational modes of DGs: A review and a new approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 248-262.
    2. Basu, M., 2023. "Dynamic optimal power flow for isolated microgrid incorporating renewable energy sources," Energy, Elsevier, vol. 264(C).
    3. Krkoleva Mateska, Aleksandra & Borozan, Vesna & Krstevski, Petar & Taleski, Rubin, 2018. "Controllable load operation in microgrids using control scheme based on gossip algorithm," Applied Energy, Elsevier, vol. 210(C), pages 1336-1346.
    4. Abdi, Hamdi & Beigvand, Soheil Derafshi & Scala, Massimo La, 2017. "A review of optimal power flow studies applied to smart grids and microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 742-766.
    5. Maen Z. Kreishan & Ahmed F. Zobaa, 2021. "Optimal Allocation and Operation of Droop-Controlled Islanded Microgrids: A Review," Energies, MDPI, vol. 14(15), pages 1-45, July.
    6. Mukhopadhyay, Bineeta & Das, Debapriya, 2021. "Optimal multi-objective expansion planning of a droop-regulated islanded microgrid," Energy, Elsevier, vol. 218(C).
    7. Jithendranath, J. & Das, Debapriya & Guerrero, Josep M., 2021. "Probabilistic optimal power flow in islanded microgrids with load, wind and solar uncertainties including intermittent generation spatial correlation," Energy, Elsevier, vol. 222(C).

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