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A Cost-Effective Solution for Non-Convex Economic Load Dispatch Problems in Power Systems Using Slime Mould Algorithm

Author

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  • Vikram Kumar Kamboj

    (School of Electronics and Electrical Engineering, Lovely Professional University, Jalandhar 144001, India
    Department of Electrical and Software Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada)

  • Challa Leela Kumari

    (School of Electronics and Electrical Engineering, Lovely Professional University, Jalandhar 144001, India)

  • Sarbjeet Kaur Bath

    (Department of Electrical Engineering, GZSCCET-MRS Punjab Technical University, Bathinda 151001, India)

  • Deepak Prashar

    (School of Computer Science and Engineering, Lovely Professional University, Jalandhar 144001, India)

  • Mamoon Rashid

    (Department of Computer Engineering, Faculty of Science and Technology, Vishwakarma University, Pune 411048, India)

  • Sultan S. Alshamrani

    (Department of Information Technology, College of Computer and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia)

  • Ahmed Saeed AlGhamdi

    (Department of Computer Engineering, College of Computer and Information Technology, Taif University, P.O. Box 11099, Taif 21994, Saudi Arabia)

Abstract

Slime Mould Algorithm (SMA) is a newly designed meat-heuristic search that mimics the nature of slime mould during the oscillation phase. This is demonstrated in a unique mathematical formulation that utilizes adjustable weights to influence the sequence of both negative and positive propagation waves to develop a method to link food supply with intensive exploration capacity and exploitation affinity. The study shows the usage of the SM algorithm to solve a non-convex and cost-effective Load Dispatch Problem (ELD) in an electric power system. The effectiveness of SMA is investigated for single area economic load dispatch on large-, medium-, and small-scale power systems, with 3-, 5-, 6-, 10-, 13-, 15-, 20-, 38-, and 40-unit test systems, and the results are substantiated by finding the difference between other well-known meta-heuristic algorithms. The SMA is more efficient than other standard, heuristic, and meta-heuristic search strategies in granting extremely ambitious outputs according to the comparison records.

Suggested Citation

  • Vikram Kumar Kamboj & Challa Leela Kumari & Sarbjeet Kaur Bath & Deepak Prashar & Mamoon Rashid & Sultan S. Alshamrani & Ahmed Saeed AlGhamdi, 2022. "A Cost-Effective Solution for Non-Convex Economic Load Dispatch Problems in Power Systems Using Slime Mould Algorithm," Sustainability, MDPI, vol. 14(5), pages 1-36, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:5:p:2586-:d:756846
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    References listed on IDEAS

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