Title: Compensating PQ problem using ANFIS-based unified power quality conditioner

Authors: Mangapuram Vishnu Vardhan; P. Sangameswararaju

Addresses: Department of Electrical and Electronics Engineering, S.V. University, Tirupathi, Andhra Pradesh, India ' Department of Electrical and Electronics Engineering, S.V. University, Tirupathi, Andhra Pradesh, India

Abstract: In this paper, an ANFIS-based UPQC controller is proposed for compensating the PQ problem. ANFIS is the combination of fuzzy inference system (FIS) and neural network which improves the performance of UPQC. In order to generate the discharging dc link voltage via bias voltage generator, ANFIS is used which allows the amalgamation of numerical and linguistic data. Subsequently, the neural network is trained by using the generated fuzzy rules and thus a desired output from the interference system is obtained. The output of ANFIS is injected to the line by the proposed UPQC system. Then, assessment is carried out to analyse the power quality problem by the compensating performance of proposed ANFIS-based UPQC. The assessment results are judged against those of neuro fuzzy controller (NFC), artificial neural network (ANN), and fuzzy logic controller (FLC)-based UPQC system.

Keywords: adaptive neuro-fuzzy inference system; ANFIS; unified power quality conditioner; UPQC; neural networks; fuzzy logic controllers; FLCs; power quality disturbance; fuzzy control.

DOI: 10.1504/IJPEC.2015.070464

International Journal of Power and Energy Conversion, 2015 Vol.6 No.3, pp.187 - 217

Received: 11 Mar 2013
Accepted: 30 Sep 2013
Published online: 07 Jul 2015 *

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