International Journal of Applied Power Engineering (IJAPE)
Vol 10

HYBRID FIREFLY ALGORITHM-RNN TECHNIQUE BASED ACTIVE FILTER FOR PQ ENHANCEMENT

E, Veera Boopathy (Unknown)



Article Info

Publish Date
01 Apr 2021

Abstract

Shunt active power filter (SAPF) is utilized to compensate power quality (PQ) disturbances. For diminishing the PQ disturbances, the performance of SAPF must be enhanced. Here, a hybrid controller is employed to enhance the performance of SAPF and alleviates the PQ issues. The hybrid technique is the combination of firefly algorithm (FA) and recurrent neural network (RNN) technique. To minimize the PQ issue and to extract the reference current a hybrid method is employed. Furthermore, the dc link voltage is preserved at the constant level and harmonics are condensed. After that, the THD are evaluated for the proposed and conventional methods. The proposed method is executed in MATLAB/Simulink platform and their performances are computed. In order to prove the efficiency of the proposed method, this is compared with the conventional method such as, PI controller, Fuzzy controller and cuckoo search (CS)-radial basis function neural network (RBFNN) controller.

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Journal Info

Abbrev

IJAPE

Publisher

Subject

Electrical & Electronics Engineering

Description

International Journal of Applied Power Engineering (IJAPE) focuses on the applied works in the areas of power generation, transmission and distribution, sustainable energy, applications of power control in large power systems, etc. The main objective of IJAPE is to bring out the latest practices in ...