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Power flow analysis in islanded Micro-Grids via modeling different operational modes of DGs: A review and a new approach

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

Abstract

In an islanded Micro-Grid (MG), the use of conventional power flow analysis is not effective as the voltage of slack bus and the frequency of the MG are assumed to be constant. Such assumption fails to consider the real characteristics of the islanded MG as all DGs are involved in providing the demand of active and reactive power as well as maintaining the frequency of the MG. In this paper, a review of power flow methods in power system is shown. Furthermore a novel algorithm, named GPSO-GM (Guaranteed convergence Particle Swarm Optimization with Gaussian Mutation), for the power flow analysis problem in an islanded MG is proposed. The problem is modeled without any slack bus by considering steady state frequency as one of the power flow variables. To model different control modes of DGs, such as droop, PV and PQ, in an islanded MG, a new formula for power flow equations is developed. PSO is adopted to minimize the mismatch of total active and reactive power. Two operators, mutation and guaranteed convergence, are added to PSO in order to help in finding an optimal solution and to assist in increasing the speed of the proposed algorithm as well as the accuracy of the results.

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  • 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.
    • Handle: RePEc:eee:rensus:v:69:y:2017:i:c:p:248-262
    DOI: 10.1016/j.rser.2016.11.156
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    Cited by:

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    2. Gayatri, M.T.L. & Parimi, Alivelu.M. & Pavan Kumar, A.V., 2018. "A review of reactive power compensation techniques in microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1030-1036.
    3. Yong Long & Yu Wang & Chengrong Pan, 2018. "Incentive Mechanism of Micro-grid Project Development," Sustainability, MDPI, vol. 10(1), pages 1-19, January.
    4. Samet, Haidar & Khorshidsavar, Morteza, 2018. "Analytic time series load flow," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3886-3899.
    5. Yong Long & Chengrong Pan & Yu Wang, 2018. "Research on a Microgrid Subsidy Strategy Based on Operational Efficiency of the Industry Chain," Sustainability, MDPI, vol. 10(5), pages 1-26, May.
    6. Papadimitrakis, M. & Giamarelos, N. & Stogiannos, M. & Zois, E.N. & Livanos, N.A.-I. & Alexandridis, A., 2021. "Metaheuristic search in smart grid: A review with emphasis on planning, scheduling and power flow optimization applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    7. Sureshkumar, K. & Ponnusamy, Vijayakumar, 2019. "Power flow management in micro grid through renewable energy sources using a hybrid modified dragonfly algorithm with bat search algorithm," Energy, Elsevier, vol. 181(C), pages 1166-1178.

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