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Modified Charged System Search Algorithm for Economic Optimal Scheduling of Microgrid in Grid-Connected Mode

Author

Listed:
  • Jamaledini, Ashkan
  • Soltani, Ali
  • Khazaei, Ehsan

Abstract

This paper presents a new heuristic algorithm famous as charged system search algorithm for optimal operation of the microgrids (MGs) in the grid-connected mode. The algorithm is also being modified based on a mutation operator technique to speed up its convergence speed. Finally, the model is examined on IEEE 69 bus test system.

Suggested Citation

  • Jamaledini, Ashkan & Soltani, Ali & Khazaei, Ehsan, 2019. "Modified Charged System Search Algorithm for Economic Optimal Scheduling of Microgrid in Grid-Connected Mode," MPRA Paper 95896, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:95896
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    References listed on IDEAS

    as
    1. Chen, Yahong & Deng, Changhong & Yao, Weiwei & Liang, Ning & Xia, Pei & Cao, Peng & Dong, Yiwang & Zhang, Yuan-ao & Liu, Zhichao & Li, Dinglin & Chen, Man & Peng, Peng, 2019. "Impacts of stochastic forecast errors of renewable energy generation and load demands on microgrid operation," Renewable Energy, Elsevier, vol. 133(C), pages 442-461.
    2. Hafez, Omar & Bhattacharya, Kankar, 2012. "Optimal planning and design of a renewable energy based supply system for microgrids," Renewable Energy, Elsevier, vol. 45(C), pages 7-15.
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    Keywords

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    JEL classification:

    • A1 - General Economics and Teaching - - General Economics
    • C0 - Mathematical and Quantitative Methods - - General
    • H0 - Public Economics - - General
    • L0 - Industrial Organization - - General
    • L6 - Industrial Organization - - Industry Studies: Manufacturing
    • P0 - Political Economy and Comparative Economic Systems - - General

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