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Managing the Distribution Network Configuration Using Hybrid Fuzzy Particle Swarm Optimization Algorithms
Ramadoni Syahputra (a*), Indah Soesanti (b)

(a*) Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Indonesia
*ramadoni[at]umy.ac.id
(b) Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada, Indonesia


Abstract

This paper proposes the use of a hybrid fuzzy particle swarm optimization (PSO) algorithm for managing the electrical distribution network configuration. Configuring a network greatly determines the performance of a distribution system. The optimal configuration will produce a low losses distribution network. Many methods have been developed to optimize distribution networks to get the most optimal configuration. In this study, distribution network optimization using hybrid fuzzy PSO algorithms has been carried out. The advantage of the PSO method is that the computational speed is very good, but it often experiences premature convergence because the value obtained is not really a global optimum. Therefore, it is necessary to add fuzzy logic based methods to regulate the inertia weight and learning factors in the PSO. This hybrid fuzzy PSO algorithm is applied to the distribution network of 69 bus IEEE standards and the Bantul distribution network, Special Region of Yogyakarta, Indonesia. The results showed that the fuzzy-PSO algorithm was able to produce optimal distribution network configurations. Power losses of distribution network generated using hybrid fuzzy PSO algorithms is smaller than the conventional PSO algorithm.

Keywords: Electrical distribution network; reconfiguration; fuzzy logic; PSO

Topic: International Symposium of Engineering, Technology, and Health Sciences

Link: https://ifory.id/abstract/qP62NxdJ3uXR

Conference: The 3rd International Conference on Sustainability and Innovation (ICoSI 2019)

Plain Format | Corresponding Author (Ramadoni Syahputra)

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