Modified Particle Swarm Optimization for Solution of Reactive Power Dispatch
Reactive Power Dispatch (RPD) is a complex, non−continuous and it is famous and essential problem in the power system. The calculation of this problem is really part of optimal load flow calculations. In this study, two types of Particle Swarm Optimization (PSO) algorithm are utilize as an optimizat...
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Veröffentlicht in: | Research Journal of Applied Sciences, Engineering and Technology Engineering and Technology, 2018-08, Vol.15 (8), p.316-327 |
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Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
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Zusammenfassung: | Reactive Power Dispatch (RPD) is a complex, non−continuous and it is famous and essential problem in the power system. The calculation of this problem is really part of optimal load flow calculations. In this study, two types of Particle Swarm Optimization (PSO) algorithm are utilize as an optimization tools to solve RPD problem in order to minimize real Power Loss (P_(Loss)) in the power system and keep voltage at all buses within acceptable limit. First type of PSO algorithm is Conventional PSO and the second type is utilize to improve the searching quality, also to decrease the time calculation and to enhance the convergence characteristic in the first type, it is called Modified PSO (MPSO). These types of PSO algorithm are tested on IEEE Node− 14, Node−30, Node−57 and Node−118 power systems to test their efficiency and ability in solving RPD problem in small and large power systems. The simulation results in four power systems show that the MPSO algorithm has a better performance in decreasing losses, decreasing time calculation and enhancement of voltage profile when compared to the Conventional PSO and other algorithms that reported in the literature. |
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ISSN: | 2040-7467 2040-7459 2040-7467 |
DOI: | 10.19026/rjaset.15.5917 |