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Hybrid Intelligent Algorithm Applied to Economic Dispatch of Grid-Connected Microgrid System Considering Static and Dynamic Load Demand

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Control Applications in Modern Power Systems (EPREC 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1128))

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Abstract

This paper presents a novel hybrid modified-Gray Wolf Optimization-Sine Cosine Algorithm-Cuckoo Search Algorithm (MGWOSCACSA algorithm) as an optimization tool to minimize the generation cost of a grid-connected microgrid system. Initially, the optimal placing of DGs is performed to benefit a 33-bus distribution system. Thereafter three different cases were studied to analyze the generation cost of the system. The cases include without DGs, with 2 DGs, and with 3 DGs. The DGs considered for the study are two fossil-fueled power plants and a wind farm. The generation cost was found minimum of 1–2% when 3 DGs are considered in the study. Also proposed hybrid algorithm yielded better quality results than other optimization tools used in the study.

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Author information

Authors and Affiliations

  1. Department of EEE, GIET University, Gunupur, Odisha, 765022, India

    Rakesh Sahu, Pratap Kumar Panigrahi & Bishwajit Dey

  2. Departments of EE, VSSUT, Burla, Odisha, 768018, India

    Deepak Kumar Lal

Authors
  1. Rakesh Sahu
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  2. Pratap Kumar Panigrahi
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  3. Deepak Kumar Lal
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  4. Bishwajit Dey
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Corresponding author

Correspondence to Rakesh Sahu .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Indian Institute of Technology Bhilai, Bhilai, Chhattisgarh, India

    Shailendra Kumar

  2. Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Manoj Tripathy

  3. Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Premalata Jena

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Sahu, R., Panigrahi, P.K., Lal, D.K., Dey, B. (2024). Hybrid Intelligent Algorithm Applied to Economic Dispatch of Grid-Connected Microgrid System Considering Static and Dynamic Load Demand. In: Kumar, S., Tripathy, M., Jena, P. (eds) Control Applications in Modern Power Systems. EPREC 2023. Lecture Notes in Electrical Engineering, vol 1128. Springer, Singapore. https://doi.org/10.1007/978-981-99-9054-2_7

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  • DOI: https://doi.org/10.1007/978-981-99-9054-2_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-9053-5

  • Online ISBN: 978-981-99-9054-2

  • eBook Packages: EnergyEnergy (R0)

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