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Optimizing energy management and control of distributed generation resources in islanded microgrids

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  • Abedini, Mohammad
  • Abedini, Moein

Abstract

A new problem formulation for islanded microgrids (MG) is introduced and developed by employing a multi-objective function approach where the objectives include: i) fuel consumption cost, ii) voltage stability index, and iii) total voltage variation). A hybrid optimization algorithm is proposed to solve the proposed algorithm by combining the harmony algorithm (HS), mutation, and crossover operators of the genetic algorithm (GA). To find the best solution for the non-dominated results, a fuzzy logic method is employed. The performance of the proposed approach is compared with those of the other optimization and non-optimization methods in MG using 33-bus test network in a MATLAB environment. The obtained results show that the proposed algorithm is capable of: i) significantly reducing the islanded MG customer interruptions and ii) improving the islanded MGs stability. In addition, selecting appropriate parameters of droop facilitate the successful implementation of the islanded MG concept in distribution systems.

Suggested Citation

  • Abedini, Mohammad & Abedini, Moein, 2017. "Optimizing energy management and control of distributed generation resources in islanded microgrids," Utilities Policy, Elsevier, vol. 48(C), pages 32-40.
    • Handle: RePEc:eee:juipol:v:48:y:2017:i:c:p:32-40
    DOI: 10.1016/j.jup.2017.08.003
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    References listed on IDEAS

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    1. Li, Gong & Shi, Jing, 2012. "Agent-based modeling for trading wind power with uncertainty in the day-ahead wholesale electricity markets of single-sided auctions," Applied Energy, Elsevier, vol. 99(C), pages 13-22.
    2. 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.
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    Cited by:

    1. Ma, Weiwu & Xue, Xinpei & Liu, Gang, 2018. "Techno-economic evaluation for hybrid renewable energy system: Application and merits," Energy, Elsevier, vol. 159(C), pages 385-409.
    2. Makbul A.M. Ramli & H.R.E.H. Bouchekara & Abdulsalam S. Alghamdi, 2019. "Efficient Energy Management in a Microgrid with Intermittent Renewable Energy and Storage Sources," Sustainability, MDPI, vol. 11(14), pages 1-28, July.
    3. Ateba, Benedict Belobo & Jurgens Prinsloo, Johannes, 2019. "Strategic management for electricity supply sustainability in South Africa," Utilities Policy, Elsevier, vol. 56(C), pages 92-103.
    4. 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.
    5. Bertheau, Paul & Blechinger, Philipp, 2018. "Resilient solar energy island supply to support SDG7 on the Philippines: Techno-economic optimized electrification strategy for small islands," Utilities Policy, Elsevier, vol. 54(C), pages 55-77.

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