PI and Fuzzy Logic Controller Based Analysis of Load Frequency Control for Thermal-nuclear Hybrid Energy Systems

Year : 2024 | Volume :14 | Issue : 01 | Page : 1-9
By

Yatinkumar Rajendrabhai Daraji

Kalpana Meena

  1. Student Department of Electrical Engineering, Rajasthan Institute of Engineering and Technology, Jaipur, Rajasthan India
  2. Assistant Professor Department of Electrical Engineering, Rajasthan Institute of Engineering and Technology, Jaipur, Rajasthan India

Abstract

In this paper a two-area system: area-1, which has a thermal power plant, and area-2, which contains a nuclear power plant. By combining these domains, two area thermal-nuclear systems are developed in the MATLAB Simulink framework. To ensure the quality of power generated and to feed the load, generation should be raised in tandem with the growth in load demand, or the network should be connected. Using various controllers, LFC is utilized to stabilize the power system’s factors. We are comparing the undershoot and settling time values for each scenario utilizing PI and fuzzy logic control approaches separately for 1% disturbance in either area in order to examine the performance of a two-area system. The simulation’s outcome demonstrates that the fuzzy logic controller solves the LFC problem effectively.

Keywords: Fuzzy Logic Controller, PI-Controller, Load Frequency Control (LFC), Thermal-Nuclear Hybrid Energy System

[This article belongs to Trends in Electrical Engineering(tee)]

How to cite this article: Yatinkumar Rajendrabhai Daraji, Kalpana Meena. PI and Fuzzy Logic Controller Based Analysis of Load Frequency Control for Thermal-nuclear Hybrid Energy Systems. Trends in Electrical Engineering. 2024; 14(01):1-9.
How to cite this URL: Yatinkumar Rajendrabhai Daraji, Kalpana Meena. PI and Fuzzy Logic Controller Based Analysis of Load Frequency Control for Thermal-nuclear Hybrid Energy Systems. Trends in Electrical Engineering. 2024; 14(01):1-9. Available from: https://journals.stmjournals.com/tee/article=2024/view=135303





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Regular Issue Subscription Original Research
Volume 14
Issue 01
Received February 21, 2024
Accepted March 6, 2024
Published March 19, 2024