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Modified Genetic Algorithm Framework for Optimal Scheduling of Single Microgrid Combination with Distribution System Operator

Author

Listed:
  • Jamaledini, Ashkan
  • Khazaei, Ehsan
  • Toran, Mehdi

Abstract

In this paper, new reformed genetic algorithm (GA) according to the multicellular organism mechanism is developed for power management of single microgrid incorporation with the distribution system operator (DSO). Integration of single microgrid into the conventional grids cann enhance the complexity of the problem due to ability of disconnecting from the main grid as a standalone small electricity network. Hence, in this paper, a new evolutionary algorithm is developed to address the complexity of the problem. The main objective of the proposed model is to minimize the total operation cost of the microgrid in both utility connected and off utility connected modes; that means the objective is based on the economic consideration. To demonstrates the high performance and ability of the proposed method, a modified IEEE 33 distribution bus test network is selected and examined. Finally, the results are compared with the famous evolutionary algorithms such as particle swarm optimization (PSO). In it worth noting that the results are only based on the economic consideration.

Suggested Citation

  • Jamaledini, Ashkan & Khazaei, Ehsan & Toran, Mehdi, 2018. "Modified Genetic Algorithm Framework for Optimal Scheduling of Single Microgrid Combination with Distribution System Operator," MPRA Paper 89411, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:89411
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    References listed on IDEAS

    as
    1. Tavakoli, Amir & Mirzaei, Farzad & Tashakori, Sajad, 2018. "A New Optimal Operation Structure For Renewable- Based Microgrid Operation based On Teaching Learning Based Optimization Algorithm," MPRA Paper 89203, University Library of Munich, Germany.
    2. Ashkaboosi, Maryam & Ashkaboosi, Farnoosh & Nourani, Seyed Mehdi, 2016. "The Interaction of Cybernetics and Contemporary Economic Graphic Art as "Interactive Graphics"," MPRA Paper 72717, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Optimal energy management; Microgrid; Economic consideration;
    All these keywords.

    JEL classification:

    • L00 - Industrial Organization - - General - - - General
    • L59 - Industrial Organization - - Regulation and Industrial Policy - - - Other

    NEP fields

    This paper has been announced in the following NEP Reports:

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