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A New Optimal Operation Structure For Renewable- Based Microgrid Operation based On Teaching Learning Based Optimization Algorithm

Author

Listed:
  • Tavakoli, Amir
  • Mirzaei, Farzad
  • Tashakori, Sajad

Abstract

This paper proposes a new optimization framework for the optimal power dispatch in both grid-connected and islanded microgrid modes. Solving the microgrid operation by the evolutionary algorithms can be faster than analytical models due to the complexity of the problem. To demonstrate the efficiency and high performance of the proposed technique, it is applied on the IEEE 33 bus test network. Also, the proposed technique is compared with the analytical model, and also well-known heuristic methods such as particle swarm optimization (PSO), genetic algorithm (GA).

Suggested Citation

  • 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.
  • Handle: RePEc:pra:mprapa:89203
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    File URL: https://mpra.ub.uni-muenchen.de/89203/1/MPRA_paper_89203.pdf
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    References listed on IDEAS

    as
    1. 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.
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    Cited by:

    1. 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.

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    More about this item

    Keywords

    Genetic Algorithm; Swarm Optimization; Microgrid;
    All these keywords.

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • L0 - Industrial Organization - - General
    • L00 - Industrial Organization - - General - - - General

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