NEURO-FUZZY INTELLIGENT CONTROLLER FOR LFC OF A FOUR-AREA POWER SYSTEM

Basavarajappa Sokke Rameshappa; Nagaraj Mudakapla Shadaksharappa

doi:10.29121/ijetmr.v9.i10.2022.1235

NEURO-FUZZY INTELLIGENT CONTROLLER FOR LFC OF A FOUR-AREA POWER SYSTEM

Authors

Basavarajappa Sokke Rameshappa Department of Electrical and Electronics Engineering, Bapuji Institute of Engineering and Technology, Davanagere, VTU, Belagavi, India
Nagaraj Mudakapla Shadaksharappa Department of Electrical and Electronics Engineering, Bapuji Institute of Engineering and Technology, Davanagere, VTU, Belagavi, India

DOI:

https://doi.org/10.29121/ijetmr.v9.i10.2022.1235

Keywords:

Automatic Load Frequency Control, Anfis Controller, Conventional Controller, Power System, Sugeno Fuzzy Logic Controller

Abstract

In modern complex power systems, the problem of automatic generation control arises due to a sudden increase or decrease in load. This problem leads to instability in the system if the frequency control is not automatic, which may finally lead to system collapse. Hence, automatic control of frequency and tie-line power is significant. This research paper develops and compares the performance of an adaptive neuro-fuzzy inference system (ANFIS) controller with the conventional PID controller and the Takagi-Sugeno-Kang fuzzy logic controller for load frequency control (LFC) of a four-area power system with generation rate constraint (GRC) on turbines. The performance is compared in terms of errors, settling time and maximum undershoot of the frequency deviation for different step load changes using Matlab. The proposed ANFIS controller performs with less peak undershoot of - 0.7374 Hz and a settling time of 27.9823 sec at a 4% change in load. It reduces the steady-state error to zero. Thus, the proposed controller is the most suitable LFC in energy centers. The system parameters are taken from the IEEE press, and EPRI published books.

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References

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Published

2022-10-14

How to Cite

Sokke Rameshappa, B., & Shadaksharappa, N. M. (2022). NEURO-FUZZY INTELLIGENT CONTROLLER FOR LFC OF A FOUR-AREA POWER SYSTEM. International Journal of Engineering Technologies and Management Research, 9(10), 50–60. https://doi.org/10.29121/ijetmr.v9.i10.2022.1235

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Vol. 9 No. 10 (2022): IJETMR: Volume 9 Issue 10 - October, 2022

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