Comparative Performance Analysis of PID, Fuzzy-Mamdani, Fuzzy-Sugeno and ANFIS for Automatic Generation Control of Multi-Area Power System

Umesh Kumar Singh*, L. B. Prasad**
* PG Scholar, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.
** Assistant Professor, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.
Periodicity:July - September'2016
DOI : https://doi.org/10.26634/jee.10.1.8199

Abstract

Automatic Generation Control (AGC) insures a sufficient, reliable and good quality of power to the consumer. It insures that the amount of power available should be sufficient and the frequency deviation is within the rated limit. Any mismatch between generation and demand causes deviation in the system frequency from its nominal value. If load is continuously changing in nature, the frequency deviation goes on increasing, which may lead to system collapse. So in order to maintain the stability in power generation, a very fast and accurate controller is needed to maintain the nominal system frequency. In this paper, Proportional- Integral-Derivative controller and artificial intelligent controllers such as Fuzzy-Mamdani, Fuzzy-Sugeno and Adaptive Neuro Fuzzy Inference System (ANFIS) has been presented for AGC of fourarea (Thermal-Nuclear-Thermal-Hydro) interconnected power system including Generation Rate Constraint (GRC).

Keywords

Automatic Generation Control (AGC), Adaptive Neuro Fuzzy Inference System (ANFIS), Generation Rate Constraint (GRC), Fuzzy Logic Controller (FLC)

How to Cite this Article?

Singh, U.K., and Prasad, L. B. (2016). Comparative Performance Analysis of PID, Fuzzy-Mamdani, Fuzzy-Sugeno and ANFIS for Automatic Generation Control of Multi-Area Power System. i-manager’s Journal on Electrical Engineering, 10(1), 26-34. https://doi.org/10.26634/jee.10.1.8199

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