Hybrid ANFIS-FA-based control strategy for UPQC - power quality enhancement in smart grid
by P. Malleswara Reddy; A. Srinvasula Reddy; B. Sarvesh
International Journal of Power Electronics (IJPELEC), Vol. 13, No. 4, 2021

Abstract: In the paper, a hybrid technique is proposed for analysing and controlling PQ issues in SG. Initially, the normal behaviour of SG system is analysed. After that, some disturbance is created in the SG system and determined the abnormal behaviours. The first phase of proposed methodology is utilisation of wavelet transformation algorithms for processing the inputs. Here, multi-wavelet transform (MWT) is utilised to extract the features of inputs for classification. The hybrid technique is a combination of hybrid ANFIS and FA, which is utilised to maintain the DC-link voltage of the UPQC. The hybrid ANFIS means, FA is used to select the optimal dataset for training the ANFIS. The main objective of the proposed technique is detecting and controlling the PQ issues in SG. The proposed method is implemented in MATLAB/Simulink platform. In order to analyse the effectiveness of the proposed method, various types of issues are analysed and tested with the existing methods such as, UPQC with ANFIS, UPQC with artificial neural network (ANN) technique and UPQC with gravitational search algorithm (GSA).

Online publication date: Fri, 11-Jun-2021

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