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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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| Paper Title: | Particle Swarm Optimization Variants for Solving Reactive Power Reserve optimization Problem: Review and Comparative Analysis |
| Authors Name: | Mr. Yash Shah , Dr. Smita Verma , Dr. Aditya Tiwary |
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IJRTI_187976
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| Published Paper Id: | IJRTI2308108 |
| Published In: | Volume 8 Issue 8, August-2023 |
| DOI: | |
| Abstract: | Power systems involve numerous nonlinear optimization problems that play a crucial role in ensuring efficient and reliable operation. Traditional analytical methods often struggle with slow convergence and computational complexity, especially in high-dimensional spaces. In contrast, swarm intelligence-based heuristics offer a promising alternative. Among these, Particle Swarm Optimization (PSO) has emerged as a powerful tool for effectively tackling large-scale nonlinear optimization problems. This paper provides a detailed exposition of the fundamental principles of PSO and its various variants. The discussion encompasses the underlying concepts of PSO, its mechanism, and its application in addressing nonlinear optimization challenges in power systems. Particle Swarm Optimization (PSO) is a nature-inspired optimization algorithm that has gained significant attention due to its efficiency and effectiveness in solving complex optimization problems. This review article provides an in-depth exploration of innovative methodologies and applications of PSO in power systems. The paper covers the fundamental concepts of PSO, discusses innovative variants and hybridizations of the algorithm, and comprehensively reviews its diverse applications in power system optimization. The article concludes with a discussion of challenges, trends, and future research directions in utilizing PSO for power system optimization. |
| Keywords: | Particle Swarm Optimization (PSO), Reactive Power, Scout Particle Swarm Optimization (ScPSO), Voltage Control, FACTS devices |
| Cite Article: | "Particle Swarm Optimization Variants for Solving Reactive Power Reserve optimization Problem: Review and Comparative Analysis", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 8, page no.667 - 676, August-2023, Available :http://www.ijrti.org/papers/IJRTI2308108.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2308108
Registration ID:187976
Published In: Volume 8 Issue 8, August-2023
DOI (Digital Object Identifier):
Page No: 667 - 676 Country: indore, madhya Pradesh, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2308108 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2308108 |
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ISSN: 2456-3315
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