Abstract
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 (PLoss) 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.
Highlights
Reactive Power Dispatch (RPD) problem is played essential role in enhancing the work of power system
When using c1new and c2new in Modified PSO (MPSO) raises the ability of Conventional Particle Swarm Optimization (PSO) to discover the optimal solution faster than utilize (c1 old and c2 old) constant values given in Conventional PSO
From these results indicate that MPSO has high ability in solving RPD problem than other methods in this test
Summary
Reactive Power Dispatch (RPD) problem is played essential role in enhancing the work of power system. In this study utilize Conventional PSO and MPSO algorithms for solving RPD problem.
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