Evidence map›Paper›PMID 42310151›Full record

ArticleScientific reports2026

Parameter-free hybrid RAO algorithm for reactive power optimization.

Upma Singh, Saket Gupta, Mohd Zuhaib, Marwan Ahmad Abdullah Sufyan

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Upma SinghDepartment of Electronics and Communication Engineering, Maharaja Surajmal Institute of Technology, Delhi, 110058, India.
Saket GuptaDepartment of Instrumentation and Control Engineering, Bharati Vidyapeeth's College of Engineering, Delhi, 110063, India.
Mohd ZuhaibDepartment of Electrical Engineering, GLA University, Mathura, Uttar Pradesh, India. mohd.zuhaib@gla.ac.in.
Marwan Ahmad Abdullah SufyanCollege of Engineering and Information Technology, Aljanad University of Science and Technology, Tiaz, Yemen. marwan.eng@just.edu.ye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Rao algorithms are a relatively new parameter-free optimisation technique that has grown in importance as an intelligent optimisation tool. Rao algorithms are effective algorithms that embody the idea of attracting toward a global optimum, illustrating the algorithm's swarm intelligence and the survival of the fittest principle, like that of an evolutionary algorithm. However, it has found applications in other areas related to optimization, primarily in engineering practice, where it is analyzed and summarized based on the specifics of each situation. The absence of algorithm-specific parameters explains the wide applicability of Rao optimization. Although several studies have addressed these methods, limited effort has been made to provide a comprehensive summary of Rao algorithms. This work aims to provide up-to-date information on Rao algorithms, which will be useful for researchers in this field. Additionally, a hybrid Rao algorithm is developed to overcome the limitations of traditional Rao algorithms. The proposed algorithm was implemented in the IEEE 30-bus and IEEE 57 bus systems, to resolve the Optimal VAR Dispatch Problem, and to assess its effectiveness. Results show that hybrid Rao algorithm deliver higher quality solutions within a reasonable timeframe, outperforming other approaches stated in the recent literature. The paper ends with recommendations for future developments to improve the Rao algorithm's performance.

Indexed as

Bibliometric StudyHybrid Rao AlgorithmMetaheuristicsOptimizationRao Algorithm

Identifiers

PMID42310151
PMCPMC13542208

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