Real power loss reduction by quantum based Ptilonorhynchus violaceus optimization and Haliastur Indus algorithms

Lenin Kanagasabai ()
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Lenin Kanagasabai: Prasad V. Potluri Siddhartha Institute of Technology

International Journal of System Assurance Engineering and Management, 2022, vol. 13, issue 4, No 29, 1913-1931

Abstract: Abstract In this paper Quantum based Ptilonorhynchus violaceus optimization (QPVO) algorithm and Haliastur Indus (HI) optimization algorithm is applied to solve the power loss lessening problem. Key aims of the work are loss dripping, power steadiness enhancement and deviance lessening. In QPVO Rendering to the behaviours of Ptilonorhynchus violaceus males are prerequisite to construct nests to charm the female Ptilonorhynchus violaceus for mating and to reproduce the offspring’s. Exclusive protagonist Ptilonorhynchus violaceus disturb the other nests which have been constructed by remaining male Ptilonorhynchus violaceus. When male Ptilonorhynchus violaceus are hectic in construction an arbour on the ground, they might be confronted by other faunas or be entirely disregarded. In numerous circumstances, robust male Ptilonorhynchus violaceus snip resources from feebler males, or even extinguish their arbours. In Quantum based Ptilonorhynchus violaceus optimization (QPVO) algorithm, all Ptilonorhynchus violaceus are encoded by qubits designated on the Bloch sphere by fixing the swarm magnitude to NB and the area dimension G. Haliastur Indus (HI) optimization algorithm is designed by imitating the natural actions of Haliastur Indus. Haliastur Indus are frequently eyeing for nutrition and obligate extraordinary verve when they are quenched, which creates them drive extensive remoteness for exploration of nutrition, nonetheless if they are voracious, they do not obligate sufficient verve to hover lengthy and mien for nutrition subsequent to the resilient Haliastur Indus and turn out to be belligerent while voracious. This segment is utilized to transferal of exploration segment to exploitation stage, which is stimulated by the degree at which the Haliastur Indus is quenched. Proposed Quantum based Ptilonorhynchus violaceus optimization (QPVO) algorithm and Haliastur Indus (HI) optimization algorithm is corroborated in IEEE 30 bus system and IEEE 14, 30, 57, 118, 300 bus test systems without considering the voltage constancy index. True power loss lessening, voltage divergence curtailing, and voltage constancy index augmentation has been attained.

Keywords: Optimal reactive power; Transmission loss; Quantum; Ptilonorhynchus violaceus; Haliastur Indus (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s13198-021-01602-0

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