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Tangible power loss lessening by hybridized beautiful demoiselle-enriched particle swarm and pyramid optimization algorithms

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  • Lenin Kanagasabai

    (Prasad V. Potluri Siddhartha Institute of Technology)

Abstract

In this paper Hybridization of Beautiful Demoiselle algorithm with Enriched particle swarm optimization (HBDPSO) algorithm and Pyramid Optimization (PO) Algorithm is applied to solve the Real power loss reduction problem. Key objectives of the paper are Voltage stability enhancement, minimization of Voltage deviation and real power loss reduction. Proposed HBDPSO and PO has been applied to solve both in single and multiobjective mode. Beautiful Demoiselle algorithm is modelled based on the standing and vibrant behaviour of Beautiful Demoiselle. In vibrant swarm the Beautiful Demoiselle will fly in specific direction which is analogous to Exploitation phase. Split-up, Connotation, sticking, Enticement to diet and Commotion from competitor are used to mimic the behaviour of Beautiful Demoiselle algorithm in both standing and vibrant swarms. Particle swarm optimization (PSO) algorithm is based on the behaviour of swarm and in the enriched PSO version “s” shaped transfer function will convert the continuous into discrete functions. In Hybridized (HBDPSO)—Beautiful Demoiselle algorithm (BDA) with its competence will stimulate the varied solutions by creation of standing swarms and the augmented version of the particle swarm optimization exploiting the files with its skill to converge to the exceptional global solution in the exploration space. Then in this paper Pyramid Optimization (PO) Algorithm is applied to solve the Real power loss reduction problem. PO algorithm is planned based on the command arrangement which has been found in the higher educational institution. The communication between various levels of workers also with their direct superior, associates and Personal contribution of the staff members are imitated to formulate the algorithm. The notion of institutional pyramid is individuals in an administrative chart permit the cluster of persons to attain their work in an enhanced way. Communication between the persons in that pyramid is an idiosyncratic notion. The custom of the pyramid data association for charting makes the planned algorithm as a ground-breaking methodology. Pyramid is a tree-shaped data structure and it is a widespread tree. In the condition of minimum layer, the weighty of each parental node is either lesser than or equivalent to the vital of its offspring and in condition of maximum layer, the chief of each parental node is either better than or equivalent to the main of its offspring. The entire tree is measured as the population. By means of considering L (voltage constancy)—index Hybridization of Beautiful Demoiselle algorithm with Enriched particle swarm optimization (HBDPSO) algorithm and Pyramid Optimization (PO) Algorithm are corroborated in IEEE 30 Bus system. Then HBDPSO and PO algorithms are appraised in 30 bus test systems (IEEE) deprived of voltage constancy index. HBDPSO and PO algorithms are abridged the power loss proficiently with augmentation in voltage constancy and minimization of voltage deviance. Percentage of power loss reduction has been increased.

Suggested Citation

  • Lenin Kanagasabai, 2022. "Tangible power loss lessening by hybridized beautiful demoiselle-enriched particle swarm and pyramid optimization algorithms," 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(1), pages 450-468, February.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:1:d:10.1007_s13198-021-01295-5
    DOI: 10.1007/s13198-021-01295-5
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    References listed on IDEAS

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    1. 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.
    2. Li, Jian & Wang, Ni & Zhou, Dao & Hu, Weihao & Huang, Qi & Chen, Zhe & Blaabjerg, Frede, 2020. "Optimal reactive power dispatch of permanent magnet synchronous generator-based wind farm considering levelised production cost minimisation," Renewable Energy, Elsevier, vol. 145(C), pages 1-12.
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