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Real power loss reduction by North American sapsucker algorithm

Author

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  • Lenin Kanagasabai

    (Prasad V. Potluri Siddhartha Institute of Technology)

Abstract

In this paper North American Sapsucker (NAS) algorithm has been projected to solve the loss lessening problem. Proposed NAS is designed based on the deeds of sapsucker mating. Male sapsucker will make a unique sound to attract the female sapsucker. In the proposed algorithm male and female sapsuckers are the candidate solutions. With respect to the value of the objective function the sapsucker differed. In the exploration space male sapsucker are the best position found so far and female sapsucker are the key search agents. Position of the female sapsucker is completely based on the male sapsucker. When a better candidate solution obtained then there will be updating of the male sapsucker. Intensity of the sound will have a huge impact over the female sapsucker. Movement of the female sapsucker towards the best male sapsucker will be there. Variation of the sound will be there with respect to the distance between the male and female sapsucker. In the search space sapsucker randomly initiated and every sapsucker is acting as candidate solution. Through the objective function population of sapsucker is evaluated and the fitness function is determined. These behaviours imitate the swarm and evolutionary algorithms. Modelling has been done with respect to the intensity of sound and movement of sapsucker. NAS algorithm is corroborated in IEEE test systems, with and devoid of voltage constancy. Voltage divergence condensed, voltage constancy augmented and power loss abridged.

Suggested Citation

  • Lenin Kanagasabai, 2022. "Real power loss reduction by North American sapsucker algorithm," 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 143-153, February.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:1:d:10.1007_s13198-021-01155-2
    DOI: 10.1007/s13198-021-01155-2
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    References listed on IDEAS

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    1. Tawfiq M. Aljohani & Ahmed F. Ebrahim & Osama Mohammed, 2019. "Single and Multiobjective Optimal Reactive Power Dispatch Based on Hybrid Artificial Physics–Particle Swarm Optimization," Energies, MDPI, vol. 12(12), pages 1-24, June.
    2. Marielena Fonseca Tófoli & Edilaine Martins Soler & Antonio Roberto Balbo & Edméa Cássia Baptista & Leonardo Nepomuceno, 2020. "Interior/exterior-point methods with inertia correction strategy for solving optimal reactive power flow problems with discrete variables," Annals of Operations Research, Springer, vol. 286(1), pages 243-263, March.
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