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Title: :  Power Quality Analysis using Fuzzy Logic
PaperId: :  13427
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 1 2021
DUI:    16.0415/IJARIIE-13427
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Nikhil R. TadurwarG H Raisoni College of Engineering, Nagpur
Dr V. K. ChandrakarG H Raisoni College of Engineering, Nagpur

Abstract

Electrical Engineering
ANN, Fuzzy logic, Power quality
Over the last decade, power quality has become an imminent issue. Power quality is one of the major and significant factor to be considered by power system utilities while satisfying the needs of power distributor and customers. Therefore, it becomes extremely essential to analyze the influence quality system to discern the disturbances in power quality. A number of exploration studies regarding the power quality have been done earlier targeting the collection of information for an additional analysis. As a result, the repercussions of the varied disturbances in power systems may be investigated and analyzed. In our proposed work, we have developed a technique that inherently deals with the implementation of a hardware model of small demo transmission line. The range of transmitting voltage is between that of 25 to 50 V AC. The transmission line parameters are then measured using current transformers (CT) and potential transformers (PT) sensors. That values measured from CT and PT sensors are then transferred to the MATLAB simulink fuzzy logic controller where the power quality is further detected and analyzed. After the detection and analysis, then all these types of power quality disturbance signals are further classified using Fuzzy Logic based Controller (FLC). The complete system is designed in MATLAB 2015R software atmosphere or using hardware model implementation whose analysis done in MATLAB 2015R software. In the end, we have compared the Fuzzy Logic based Controller (FLC) system with Artificial Neural Network (ANN) system for power quality analysis.

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IJARIIE Nikhil R. Tadurwar, and Dr V. K. Chandrakar. "Power Quality Analysis using Fuzzy Logic" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 1 2021 Page 40-54
MLA Nikhil R. Tadurwar, and Dr V. K. Chandrakar. "Power Quality Analysis using Fuzzy Logic." International Journal Of Advance Research And Innovative Ideas In Education 7.1(2021) : 40-54.
APA Nikhil R. Tadurwar, & Dr V. K. Chandrakar. (2021). Power Quality Analysis using Fuzzy Logic. International Journal Of Advance Research And Innovative Ideas In Education, 7(1), 40-54.
Chicago Nikhil R. Tadurwar, and Dr V. K. Chandrakar. "Power Quality Analysis using Fuzzy Logic." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 1 (2021) : 40-54.
Oxford Nikhil R. Tadurwar, and Dr V. K. Chandrakar. 'Power Quality Analysis using Fuzzy Logic', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 1, 2021, p. 40-54. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Power_Quality_Analysis_using_Fuzzy_Logic_ijariie13427.pdf (Accessed : ).
Harvard Nikhil R. Tadurwar, and Dr V. K. Chandrakar. (2021) 'Power Quality Analysis using Fuzzy Logic', International Journal Of Advance Research And Innovative Ideas In Education, 7(1), pp. 40-54IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Power_Quality_Analysis_using_Fuzzy_Logic_ijariie13427.pdf (Accessed : )
IEEE Nikhil R. Tadurwar, and Dr V. K. Chandrakar, "Power Quality Analysis using Fuzzy Logic," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 1, pp. 40-54, Jan-Feb 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/Power_Quality_Analysis_using_Fuzzy_Logic_ijariie13427.pdf [Accessed : ].
Turabian Nikhil R. Tadurwar, and Dr V. K. Chandrakar. "Power Quality Analysis using Fuzzy Logic." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 1 ().
Vancouver Nikhil R. Tadurwar, and Dr V. K. Chandrakar. Power Quality Analysis using Fuzzy Logic. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : ]; 7(1) : 40-54. Available from: https://ijariie.com/AdminUploadPdf/Power_Quality_Analysis_using_Fuzzy_Logic_ijariie13427.pdf
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