Open AccessLoad Frequency Control of Single Area System Using Ziegler-Nichols and Genetic Algorithm
Author(s) -
P. Praveena
Publication year - 2019
Publication title -
asian journal of managerial science/asian journal of managerial science
Language(s) - English
Resource type - Journals
eISSN - 2583-9810
pISSN - 2249-6300
DOI - 10.51983/ajes-2019.8.s1.2304
Subject(s) - pid controller , matlab , control theory (sociology) , genetic algorithm , electric power system , controller (irrigation) , automatic frequency control , power (physics) , computer science , control engineering , algorithm , control (management) , engineering , temperature control , physics , artificial intelligence , telecommunications , agronomy , quantum mechanics , machine learning , biology , operating system
In this paper, determining the optimal proportional-integral-derivative (PID) controller gains of load frequency control (LFC) system using Ziegler-Nichols (ZN) and Genetic algorithm (GA) is presented. The conventional tuning of PID is difficult as the system and the load parameters change constantly. It is for this reason tuning strategies has been applied. Comparative studies of both the techniques are presented. The simulation has been conducted in MATLAB Simulink package for single area power system.