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Dynamic optimal power flow for isolated microgrid incorporating renewable energy sources

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  • Basu, M.

Abstract

Enhanced investiture to distribution generation (DG) had moved for alteration of existing networks for developing microgrid which can function autonomously or together with grid. Dynamic optimal power flow (DOPF) for isolated microgrid incorporating renewable energy sources has been studied here. The DOPF problem has been solved by using elephant clan optimization (ECO) algorithm, self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients (HPSO-TVAC) and grey wolf optimization (GWO). The IEEE 33-bus system, IEEE 69-bus system, IEEE 118-bus system and real existing isolated microgrid of 15-bus system have been used for validation. In all the four test systems, the cost obtained from ECO is the lowest among all the three techniques.

Suggested Citation

  • Basu, M., 2023. "Dynamic optimal power flow for isolated microgrid incorporating renewable energy sources," Energy, Elsevier, vol. 264(C).
  • Handle: RePEc:eee:energy:v:264:y:2023:i:c:s0360544222029516
    DOI: 10.1016/j.energy.2022.126065
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    References listed on IDEAS

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    1. Shahbazitabar, Maryam & Abdi, Hamdi, 2018. "A novel priority-based stochastic unit commitment considering renewable energy sources and parking lot cooperation," Energy, Elsevier, vol. 161(C), pages 308-324.
    2. Abedini, Mohammad & Moradi, Mohammad H. & Hosseinian, S. Mahdi, 2016. "Optimal management of microgrids including renewable energy scources using GPSO-GM algorithm," Renewable Energy, Elsevier, vol. 90(C), pages 430-439.
    3. Palizban, Omid & Kauhaniemi, Kimmo & Guerrero, Josep M., 2014. "Microgrids in active network management—Part I: Hierarchical control, energy storage, virtual power plants, and market participation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 428-439.
    4. Cagnano, A. & Caldarulo Bugliari, A. & De Tuglie, E., 2018. "A cooperative control for the reserve management of isolated microgrids," Applied Energy, Elsevier, vol. 218(C), pages 256-265.
    5. 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.
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    Cited by:

    1. Amine, Hartani Mohamed & Aissa, Benhammou & Rezk, Hegazy & Messaoud, Hamouda & Othmane, Adbdelkhalek & Saad, Mekhilef & Abdelkareem, Mohammad Ali, 2023. "Enhancing hybrid energy storage systems with advanced low-pass filtration and frequency decoupling for optimal power allocation and reliability of cluster of DC-microgrids," Energy, Elsevier, vol. 282(C).

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