Performance Analysis of Power Electronic Distribution Transformer using Adaptive Pi-Fuzzy Logic Controller
Vishnupriya K.1, Ramya G.2
1Vishnupriya K., UG Student, Department of Electrical and Electronics Engineering, Saveetha School of Engineering, Chennai, India.
2Ramya G., Assistant Professor, Department of Electrical and Electronics Engineering, Saveetha School of Engineering, Chennai, India.
Manuscript received on March 12, 2020. | Revised Manuscript received on March 25, 2020. | Manuscript published on March 30, 2020. | PP: 3050-3054 | Volume-8 Issue-6, March 2020. | Retrieval Number: F8066038620/2020©BEIESP | DOI: 10.35940/ijrte.F8066.038620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper enlightens the analysis of distributed transformer using novel controller. The transformer initiates power distribution by stepping up or down depends upon the need. In accordance with power quality issues, performance, dynamic response, power factor correction the normalized transformer is inconvenient. Replacing the uncertainties by introducing a power electronic distribution transformer (PET) with PI controlled adaptive fuzzy logic control (APIFC). Moreover the occurrence of breakdown voltage and stress in conventional method, this method becoming more popular. This transformer become sensitive to dealt with swell, sag, voltage regulation, open circuit and short circuit fault. The specified rectifier also does power factor correction. The strategic PI controller with adaptive fuzzy logic control technique is established to respond sudden change or variation occurs in load. The fuzzy logic controller (FLC) posses five set of rules and PI controller adapt with one among five set of rules. This makes the controller to adjust with variation and improves power quality. The simulation is carried out using MatLab-Simulink.
Keywords: Power Electronic Distribution Transformer (PET), Proportional Integral Control (PI), Fuzzy Logic Controller (FLC), Adaptive Fuzzy Proportional Integral Control (APIFC)
Scope of the Article: Measurement & Performance Analysis.