Improvement of Multi-Machine Power System Stability Using Artificial Intelligent Power System Stabilizer

Improvement of Multi-Machine Power System Stability Using Artificial Intelligent Power System Stabilizer

Suman Machavarapu Venu G.R. Mannam  Venkata R.R. Pulipaka 

VLITS, Vadlamudi, Guntur 522213, A.P, India

PVPSIT, Kanuru, Vijayawada 521002, A.P, India

ANUCET, Guntur 522508, A.P, India

Corresponding Author Email:
18 August 2018
15 October 2018
30 September 2018
| Citation



In this paper a Power System Stabilizer (PSS) is developed with Artificial Intelligent techniques to damp the low frequency oscillations thereby improve the stability of multi machine power system. To damp the low frequency oscillations lead- lag, fuzzy and artificial neural network power system stabilizers were designed for single machine connected to infinite bus and 4-machine, 11-bus system.  From the result it was observed that conventional controllers such as lead–lag PSS cannot be applied at all operating points which also gives a slow response. Fuzzy Logic PSS (FLPSS) will give better and faster response compared to the conventional controller. Artificial Neural Networks (ANN) give the superior damping characteristics compared to remaining controllers. The performance of the each and every individual controller is analyzed in terms of Integral absolute error, Integral squared error, peak value and settling time of the response. ANN gives better response in all aspects and the simulation is carried out in MATLAB environment.


power system stabilizer, fuzzy logic controller, artificial neural network controller, Integral Absolute Error(IAE), Integral Squared Error(ISE)

1. Introduction
2. Test Systems and Conventional Power System Stabilizer
3. Design of Fuzzy Power System Stabilizer (FPSS)
4. Design of Artificial Neural Network Controller
5. Results
6. Conclusion

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