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Mathematics based calculation and stemonitis inspired optimization algorithms for loss reduction and power solidity augmentation

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  • Lenin Kanagasabai

    (Prasad V. Potluri Siddhartha Institute of Technology)

Abstract

In this paper Mathematics based Calculation optimization (MCO) algorithm and Stemonitis Inspired optimization (SIO) algorithm are applied to solve the loss dwindling problem. In mathematics based calculation optimization (MCO) algorithm, mathematical operatives— $${\text{Multiply}}\left( \times \right),{\text{ Divide}}\left( \div \right),{\text{ Add}}\left( + \right){\text{ and Subtract}}\left( - \right)$$ Multiply × , Divide ÷ , Add + and Subtract - are modelled into the location modernizing equations for probing the universal optimization elucidation. Rendering to the dissimilar possessions of these four mathematics operatives- $${\text{Multiply}}\left( \times \right),{\text{ Divide}}\left( \div \right)$$ Multiply × , Divide ÷ are employed for the exploration examination, constructing big phase in the exploration zone. The preeminent location could be confined optima, and at that time the examination representatives might not be competent to fence out of this plug with the confined examination operator, which can only engender trivial phases. Henceforth an Enforced transferring process (ETP) is presented at this point to create the examination representative to apply exploration $$\left( {{\text{Multiply}}\left( \times \right),{\text{ Divide}}\left( \div \right)} \right)$$ Multiply × , Divide ÷ . To be explicit, this transferring procedure is comprehended by means of a counter. Every exploration representative possesses a counter and it will upsurge by single once the exploration representative unable to discover an enhanced location in single iteration. Stemonitis inspired optimization (SIO) algorithm is designed based on the actions of Stemonitis. Stemonitis is an idiosyncratic species of Eukaryote established all over the biosphere. Stemonitis are categorised by the towering chocolate colour sporangia, reinforced on slim stems, which propagate in collections on decomposing timber. The maintenance of the hoses in Stemonitis prototype requests to ingest oomph whereas this oomph originates from the fluid nutrients in the hoses. Once the acquired oomph is superior to the ingested oomph, then these hoses converted to pricklier and the accompanying upsurges. Proposed Mathematics based Calculation optimization (MCO) algorithm and Stemonitis Inspired optimization (SIO) algorithm are corroborated in Garver’s 6-bus test system, IEEE 30, 57, 118, 300, 354 bus test systems and Practical system—WDN 220 kV (Unified Egyptian Transmission Network (UETN)). Power loss weakening, power incongruity restraining, and power fidelity upsurge has been accomplished.

Suggested Citation

  • Lenin Kanagasabai, 2022. "Mathematics based calculation and stemonitis inspired optimization algorithms for loss reduction and power solidity augmentation," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2710-2726, October.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:5:d:10.1007_s13198-022-01742-x
    DOI: 10.1007/s13198-022-01742-x
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    References listed on IDEAS

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    1. Zahir Sahli & Abdellatif Hamouda & Abdelghani Bekrar & Damien Trentesaux, 2018. "Reactive Power Dispatch Optimization with Voltage Profile Improvement Using an Efficient Hybrid Algorithm †," Energies, MDPI, vol. 11(8), pages 1-21, August.
    2. Andrei M. Tudose & Irina I. Picioroaga & Dorian O. Sidea & Constantin Bulac, 2021. "Solving Single- and Multi-Objective Optimal Reactive Power Dispatch Problems Using an Improved Salp Swarm Algorithm," Energies, MDPI, vol. 14(5), pages 1-20, February.
    3. Mohamed Ebeed & Ayman Alhejji & Salah Kamel & Francisco Jurado, 2020. "Solving the Optimal Reactive Power Dispatch Using Marine Predators Algorithm Considering the Uncertainties in Load and Wind-Solar Generation Systems," Energies, MDPI, vol. 13(17), pages 1-19, August.
    4. Mini Vishnu & Sunil Kumar T. K., 2020. "An Improved Solution for Reactive Power Dispatch Problem Using Diversity-Enhanced Particle Swarm Optimization," Energies, MDPI, vol. 13(11), pages 1-21, June.
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