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Anfis-fuzzy logic based UPQC in interconnected microgrid distribution systems: Modelling, simulation and implementation
Renduchintala, Udaya Kishan
Renduchintala, Udaya Kishan
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dissertation
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2020-12
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Dissertation
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Electronic dissertations
Electronic dissertations
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Abstract
This study focuses on the improvement of the power quality in interconnected power
distribution systems using connected microgrids. The power quality issues at the secondary
distribution level are addressed using a unified power quality conditioner (UPQC), which aids in
controlling voltage imbalances and current harmonics. Further, a power control method, adaptive
neuro-fuzzy inference system (ANFIS), is proposed as a global solution by installing independent
compensating devices at the point of common coupling. The proposed strategy can improve the
power quality in traditional installations because the proposed UPQC method maximizes power
utilization and improves the efficiency of the system. The microgrids integrate renewable energy
sources, which generate green energy with low loss. Case studies, a prototype, and simulations via
MATLAB/Simulink are used to validate the proposed method, and the results prove the
enhancement in power quality control. The proposed control strategy had a response time of 0.3 s,
reduced peak voltage distortions, and restored the voltage at the interconnecting point to a normal
level. The total harmonic distortion of currents decreased from 21.13% to 14.74% when a PI
technique was used to control the UPQC-P, and the proposed ANFIS-based UPQC-P reduced the
harmonic content to 2.43% from 21.13%.
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Thesis (Ph.D.)-- Wichita State University, College of Engineering, Dept. of Electrical Engineering & Computer Science
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Wichita State University
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© Copyright 2020 by Udaya Kishan Renduchintala
All Rights Reserved