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Economic operation of a microgrid system with renewables considering load shifting policy

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Abstract

By classifying loads as elastic or inelastic and restructuring the load demand model, demand side management (DSM) may help bring down the distribution system’s operational costs. One way to accomplish this goal is to shift the time of day that the flexible loads are used to one that has a lower utility cost per unit of use. Using renewable energy sources (RES), and fossil fuel-powered generators in grid-connected mode, this article implements a bi-level optimization technique to reduce operational costs. First, the load model is reorganized in accordance with the DSM involvement level. The second stage involves considering the revised load demand model and percolating an ideal allocation for distributed generators (DGs) to reduce the microgrid’s generation costs. This study made use of a novel hybrid swarm intelligence algorithm developed for the purpose of optimizing power systems, which has proven effective in the past for a wide range of optimization problems. All types of grid involvement and price methods were explored for producing cost without considering DSM. When 10–30% DSM involvement was considered, the numerical findings showed a noticeable decrease in generating cost. A detailed statistical and sensitivity analysis of the proposed hybrid optimization tool also corroborated about the robustness and preciseness of the same.

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Data will be made available upon reasonable request to the corresponding author.

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Acknowledgements

Authors thank the anonymous reviewers for their constructive comments that helped in improving the quality and standard of the manuscript.

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Authors and Affiliations

  1. Department of EEE, GIET University, Gunupur, India

    S. Misra & P. K. Panigrahi

  2. Department of EE, NIT, Durgapur, India

    S. Ghosh

  3. Department of Electrical Engineering, Adani University, Shantigram, Ahmedabad, India

    B. Dey

Authors
  1. S. Misra
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  2. P. K. Panigrahi
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  3. S. Ghosh
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  4. B. Dey
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Contributions

SM contributed to software, data curation, writing—original Draft, methodology, and software; PKP contributed to formal analysis; SG contributed to supervision. BD contributed to software, data curation, and conceptualization.

Corresponding author

Correspondence to B. Dey.

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Research involving human participants and/or animals: This article does not contain any studies with human participants or animals performed by any of the authors.

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Responsibility Editor: Nabin Aryal.

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Misra, S., Panigrahi, P.K., Ghosh, S. et al. Economic operation of a microgrid system with renewables considering load shifting policy. Int. J. Environ. Sci. Technol. 21, 2695–2708 (2024). https://doi.org/10.1007/s13762-023-05125-y

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  • DOI: https://doi.org/10.1007/s13762-023-05125-y

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