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Original Research
Online Published: 10 Jun 2020

Published online: 10 Jun 2020
 


Hybrid Optimization Techniques for Enhancing Optimal Flow of Power Systems

Salem Alkhalaf.


Cited By:1

Abstract
Hybrid optimization techniques have been extensively utilized for solving optimal power flow problems in distribution systems integrated with or without renewable energy systems, with load uncertainty. Particle swarm optimization (PSO) is integrated with Gray wolf optimizer (GWO) to create a hybrid algorithm, HPSOGWO. HPSOGWO is implemented to augment the optimal power flow solutions of IEEE-30 bus and IEEE-62 bus systems. Five objective functions are considered to investigate the power quality of the hybrid algorithm. The proposed algorithm strength is justified by a comparative study with each individual algorithm. The suggested algorithms provide different accuracy results in small and large scale distributed systems, which indicates their drawbacks in certain systems. The system is solved using MATLAB.

Key words: Optimal power flow ; Hybrid optimization techniques ; Exploration and exploitation abilities


 
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Pubmed Style

Salem Alkhalaf. Hybrid Optimization Techniques for Enhancing Optimal Flow of Power Systems. Journal of Engineering and Applied Sciences. 2020; 7(1): 16-28. doi:10.5455/jeas.2020050102

Web Style

Salem Alkhalaf. Hybrid Optimization Techniques for Enhancing Optimal Flow of Power Systems. https://jecasmu.org/?mno=114091 [Access: December 21, 2024]. doi:10.5455/jeas.2020050102

AMA (American Medical Association) Style

Salem Alkhalaf. Hybrid Optimization Techniques for Enhancing Optimal Flow of Power Systems. Journal of Engineering and Applied Sciences. 2020; 7(1): 16-28. doi:10.5455/jeas.2020050102


Vancouver/ICMJE Style

Salem Alkhalaf. Hybrid Optimization Techniques for Enhancing Optimal Flow of Power Systems. Journal of Engineering and Applied Sciences. (2020), [cited December 21, 2024]; 7(1): 16-28. doi:10.5455/jeas.2020050102


Harvard Style

Salem Alkhalaf (2020) Hybrid Optimization Techniques for Enhancing Optimal Flow of Power Systems. Journal of Engineering and Applied Sciences, 7 (1), 16-28. doi:10.5455/jeas.2020050102


Turabian Style

Salem Alkhalaf. 2020. Hybrid Optimization Techniques for Enhancing Optimal Flow of Power Systems. Journal of Engineering and Applied Sciences, 7 (1), 16-28. doi:10.5455/jeas.2020050102


Chicago Style

Salem Alkhalaf. "Hybrid Optimization Techniques for Enhancing Optimal Flow of Power Systems." Journal of Engineering and Applied Sciences 7 (2020), 16-28. doi:10.5455/jeas.2020050102


MLA (The Modern Language Association) Style

Salem Alkhalaf. "Hybrid Optimization Techniques for Enhancing Optimal Flow of Power Systems." Journal of Engineering and Applied Sciences 7.1 (2020), 16-28. Print. doi:10.5455/jeas.2020050102


APA (American Psychological Association) Style

Salem Alkhalaf (2020) Hybrid Optimization Techniques for Enhancing Optimal Flow of Power Systems. Journal of Engineering and Applied Sciences, 7 (1), 16-28. doi:10.5455/jeas.2020050102


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  • ISSN: 1658-6638 (print)
  • ISSN: 1658-7073 (electronic)