Interval Type-2 Fuzzy Logic PID Excitation Control System with AVR in Power System Stability Analysis

Interval Type-2 Fuzzy Logic PID Excitation Control System with AVR in Power System Stability Analysis

Manoj Kumar Sharma* R.P. Pathak Manoj Kumar Jha M.F. Qureshi

NIT Raipur, Chattisgarh, India

Mathematics Dept, NIT Raipur, Chattisgarh, India

Naveen K.T.C. College Salni, Janjgir-Champa, Chattisgarh, India

Department of electrical Engg., DTE, Raipur, Chattisgarh, India

Corresponding Author Email: 
Page: 
208-218
|
DOI: 
https://doi.org/10.18280/ama_c.730411
Received: 
26 June 2018
| |
Accepted: 
15 October 2018
| | Citation

OPEN ACCESS

Abstract: 

The application of a simple microcontroller to deal with a three variable input and a single output interval Type-2 fuzzy logic controller (IT2FLC), with Proportional Integral Derivative (PID) response control built-in has been tested for an automatic voltage regulator (AVR). The interval Type-2 fuzzifiers are based on fixed range of the variables of output voltage. The control output is used to control the wiper motor of the auto transformer to adjust the voltage, using interval Type-2 fuzzy logic principles, so that the voltage is stabilized. In this report, the author will demonstrate how interval Type-2 fuzzy logic might provide elegant and efficient solutions in the design of multivariable control based on experimental results rather than on mathematical models. This works aims to develop a controller based on PID and Interval Type-2 Fuzzy Logic Controller (IT2FLC) to simulate an automatic voltage regulator (AVR) in transient stability power system analysis. It was simulated a one machine control to check if the Interval Type-2 Fuzzy Logic Controller (IT2FLC) and PID controller implementation was possible. After that the developed controller was applied in field excitation system to show its behavior, which results were compared to the results obtained with the AVR itself.

Keywords: 

interval Type-2 fuzzy logic controller (IT2FLC), PID controller, control systems, controlled AVR

1. Introduction
2. Dynamic Power System Model
3. Transient Stability Analysis
4. PID Controller
5. Artificial Intelligence and Interval Type-2 Fuzzy Logic Controller
6. Simulation Results and Discussion
7. Numerical Simulation
8. Discussion and Conclusion
9. Results
10. Conclusion
  References

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