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A novel hybridized algorithm for rescheduling based congestion management

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Abstract

This paper extends our previous algorithm, termed as Particle Swarm Optimization with Distributed Acceleration Constants (PSODAC), which has been introduced for mitigating congestion based on rescheduling in a deregulated environment. The proposed variant adopts a sequential hybridization of the PSODAC principle with Differential Evolution, which is a well-known evolutionary algorithm. The variant in this paper is termed as Sequentially Hybridized Differential Evolution with Particle Swarm Optimization (SH-DEPSO). The experimental investigations are carried out in the IEEE 14 bus system in two scenarios namely, single point congestion and multipoint congestion. Firstly, the performance investigation is carried out on mitigating the congestion using cost analysis, stability analysis, complexity analysis, and strategy analysis. Secondly, the characteristics of the algorithm are observed by performing convergence analysis and investigating the quality of the solution dynamics. The studies demonstrate the competing performance of SH-DEPSO over PSODAC and the traditional PSO.

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Acknowledgements

I would like to express my very great appreciation to the co-authors of this manuscript for their valuable and constructive suggestions during the planning and development of this research work.

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Authors and Affiliations

  1. Department of Electrical Engineering, Faculty of Engineering and Technology, Deenbandhu Chhotu Ram University of Science and Technology, Murthal, Sonepat, Haryana, India

    Naresh Kumar Yadav

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Contributions

NKY conceived the presented idea and designed the analysis. Also, he carried out the experiment and wrote the manuscript. All authors discussed the results and contributed to the final manuscript. All authors read and approved the final manuscript.

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Correspondence to Naresh Kumar Yadav.

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Yadav, N.K. A novel hybridized algorithm for rescheduling based congestion management. Wireless Netw 29, 3121–3136 (2023). https://doi.org/10.1007/s11276-023-03365-x

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