Enhancing Energy Efficiency in Power Systems: Particle Swarm Optimization for Minimizing Power Losses in the IEEE 14-Bus System Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.54554/ijeeas.2025.8.01.005
The Particle Swarm Optimization (PSO) algorithm, renowned for its expeditious attainment of optimal solutions, demonstrates exceptional efficacy when utilized in the context of the IEEE 14-bus system. Importantly, the algorithm's remarkable effectiveness in the reduction of power losses is clearly evidenced by its rapid convergence within a restricted number of iterations. This serves to underscore its capacity to significantly augment energy efficiency within power systems. The findings accentuate PSO's invaluable status as a versatile optimization tool with multifaceted applications, even in the intricate scenarios encountered within power systems. The ability of PSO to adeptly navigate complex problem spaces situates it as a potent instrument for addressing challenges pertaining to energy loss, thereby showcasing its adaptability and usefulness across a diverse range of contexts within the domain of power system optimization. The demonstrated triumph of PSO within the IEEE 14-bus system underscores its importance as a pragmatic and efficient solution for optimizing power system performance and minimizing energy dissipation.
Related Topics
- Type
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https://openalex.org/W4414472199Canonical identifier for this work in OpenAlex
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- Title
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Enhancing Energy Efficiency in Power Systems: Particle Swarm Optimization for Minimizing Power Losses in the IEEE 14-Bus SystemWork title
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enPrimary language
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2025Year of publication
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2025-04-30Full publication date if available
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Asif Irshad Khan, Muhammad Sajjad, Yang Wang, Muhammad Ikram, Ishan Ullah KhanList of authors in order
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https://doi.org/10.54554/ijeeas.2025.8.01.005Publisher landing page
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diamondOpen access status per OpenAlex
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0Total citation count in OpenAlex
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