This paper is published in Volume-7, Issue-1, 2021
Area
Electrical Engg
Author
Sandeep Sharma, Geena Sharma
Org/Univ
Baddi University Emerging Sciences and Technology, Baddi, Himachal Pradesh, India
Pub. Date
25 February, 2021
Paper ID
V7I1-1281
Publisher
Keywords
Sag, Swell, Optimization, Fuzzy

Citationsacebook

IEEE
Sandeep Sharma, Geena Sharma. Improvement of power quality by fuzzy rules using particle swarm intelligence, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Sandeep Sharma, Geena Sharma (2021). Improvement of power quality by fuzzy rules using particle swarm intelligence. International Journal of Advance Research, Ideas and Innovations in Technology, 7(1) www.IJARIIT.com.

MLA
Sandeep Sharma, Geena Sharma. "Improvement of power quality by fuzzy rules using particle swarm intelligence." International Journal of Advance Research, Ideas and Innovations in Technology 7.1 (2021). www.IJARIIT.com.

Abstract

the proposed approach is used to address the drawbacks of the traditional sag detection process. With the suggested model, the controller is able to detect various types of power quality issues without the need for an error and injects the necessary voltage part to fix any irregularity in the terminal voltage instantly to maintain the load voltage at the nominal value balanced and steady. The experimental findings and simulation show that the suggested series compensator efficiently defends against voltage decreases the most critical charge