UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 12
December-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1812687


Registration ID:
193633

Page Number

638-649

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Title

Adaptive Neuro - Fuzzy Inference Based Control applied to UPQC for Power Quality Improvement

Abstract

Power Quality (PQ) has become one of the major issues of concern for the distribution utilities. Custom power devices like Power Conditioners, Active Line controllers and reactive power compensators are gaining importance day by day in maintaining PQ Standards. The reliability of any PQ conditioning devices depends on the quality of control method used. This paper primimarily emphasizes on development of a control scheme used to control of Unified Power Quality Conditioner (UPQC) for voltage sag / Swell compensation, voltage and current harmonic elimination in a distribution system. The fundamental and harmonic components from supply currents, voltages and sag / swell conditions are extracted using an extended Phase Locked Loop (EPLL). The UPQC is realized with the help two back to back connected Voltage Source Converters (VSC). The DC link voltage of UPQC thus realized is controlled with the help of Adaptive Neuro - Fuzzy Inference System (ANFIS) for achieving better dynamic response. Simulation results prove the effectiveness of ANFIS control algorithm when the load is non-linear in nature and the results presented depict the improved PQ standards and dynamic response of the system considered for study under steady state conditions.

Key Words

Power Quality (PQ), Sag / Swell, Unified Power Quality Conditioner(UPQC), Adaptive Neuro - Fuzzy Inference System, Shunt Power Filter, Harmonic Compensation.

Cite This Article

"Adaptive Neuro - Fuzzy Inference Based Control applied to UPQC for Power Quality Improvement", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.638-649, December-2018, Available :http://www.jetir.org/papers/JETIR1812687.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Adaptive Neuro - Fuzzy Inference Based Control applied to UPQC for Power Quality Improvement", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp638-649, December-2018, Available at : http://www.jetir.org/papers/JETIR1812687.pdf

Publication Details

Published Paper ID: JETIR1812687
Registration ID: 193633
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.26163
Page No: 638-649
Country: Vatluru, Pedapadu(M), Andhra Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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