Digital Technologies and Applications pp 3–12

New Reconfiguration of the Radial Distribution Network by Using the Chaotic Mapping and the Success Rate to Improve the PSO Algorithm

Conference paper
First Online: 26 June 2021

2352 Accesses
1 Citations

Part of the Lecture Notes in Networks and Systems book series (LNNS,volume 211)

Abstract

The inertia weight is one of the inspection parameters that improve the reliability of the Particle Swarm Optimization (PSO). To define this inertia, several techniques have been suggested to improve the quality of the PSO algorithm. In this paper, the aim objective is to determine the new reconfiguration of the radial system by using two strategies: the chaotic descending inertia weight, and the combination strategy of the chaotic inertia weight and the success rate technique aiming to improve the result. To define the reliability and the solidity of these suggested techniques, IEEE 33 bus is used, and the results are compared with other recent studies where they have also used the particle swarm optimization by using other strategies to define the inertia weight parameter. These strategies of inertia weight used in this paper are selected for their features of speed convergence and precision of solution that is near to the optimal solution.

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References

Oliveira LW, Oliveira EJ, Silva IC, Gomes FV, Borges TT, Marcato AL, Oliveira ÂR (2015) Optimal restoration of power distribution system through particle swarm optimization. In: IEEE Eindhoven PowerTech, p 13

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