Dynamic Stability Enhancement of Power System Using Fuzzy Power System Stabilizer Under Different Loading Conditions


P. K. Chandrashekhar
S. G. Srivani
S. Shyam Sundar


The power system is dynamic in nature and is constantly being subjected to disturbances. It enters into dynamic instability when there is an imbalance between generation and varying load demand which calls for use of Power System Stabilizer (PSS). PSS is a device which provides additional signal to the voltage regulator derived from speed deviation, excitation deviation and accelerating power for damping critical oscillations. The PSS used should be capable to produce appropriate stabilizing signals against a wide range of operating conditions and disturbances. For this purpose, a PSS based on fuzzy logic control under multi-operating conditions is proposed in this paper. The performance of Fuzzy Logic based PSS(FLPSS) applied to Single Machine Infinite Bus (SMIB) system is studied for three different operating conditions; nominal load, heavy load and fault condition in transmission line. For Fuzzy PSS, speed deviation and acceleration are taken as input. The system is simulated in SIMULINK platform and its dynamic response is analyzed for system without PSS and with PSS. The results are compared for system with Conventional PSS and Fuzzy Logic PSS.


How to Cite
Chandrashekhar, P. K., Srivani, S. G., Shyam Sundar, S., & Rashmi, . (2014). Dynamic Stability Enhancement of Power System Using Fuzzy Power System Stabilizer Under Different Loading Conditions. Power Research - A Journal of CPRI, 27–34. Retrieved from https://cprijournal.in/index.php/pr/article/view/833


  1. M Kushwaha, R Khare, Dynamic stability enhancement of power system using fuzzy logic based power system stabilizer, International Conference on Power, Energy and Control (ICPEC-2013) , no.213, pp.219, 6-8 Feb. 2013
  2. D. K. Chaturvedi and O. P. Malik, Neurofuzzy power system stabilizer. IEEE Transactions on Energy Conversion, Vol. 23, No. 3 pp. 887-894, 2008.
  3. Gupta, Rajeev, and Deepak Bhatia. Comparison of Robust Fuzzy Logic and Fast Output Sampling Feedback Based Power System Stabilizer for SMIB, IEEE International Conference on Industrial Technology (ICIT 2006), pp. 1031 – 1036, 2006.
  4. Park, Young-Moon, Un-Chul Moon, and Kwang Y. Lee, A self-organizing power system stabilizer using fuzzy auto-regressive moving average (FARMA) model, IEEE Transactions on Energy Conversion 11.2, pp.442-448, 1996.
  5. Rahmat-Allah Hooshmand and Mohammad Ataei, Real-Coded Genetic Algorithm Based Design and Analysis of an Auto-Tuning Fuzzy Logic PSS, Journal of Electrical Engineering & Technology, Vol. 2, No. 2, pp. 178~187, 2007
  6. D. K.Sambariya and Rajendra Prasad. Robust Power system stabilizer design for single machine infinite bus system with different membership functions for fuzzy logic controller, IEEE 7th International Conference onIntelligent Systems and Control (ISCO-2013), pp. 13-19, 2013.
  7. Gupta, Neeraj and Sanjay K. Jain,Comparative analysis of fuzzy power system stabilizer using different membership functions, International Journal of Computer and Electrical Engineering 2, no.2, pp. 1793-8163, 2010.
  8. Sivanandam, S. N., Sai Sumathi, and S. N. Deepa, Introduction to fuzzy logic using MATLAB. Springer, pp. 321-359,2007
  9. P. Kundur, Power System Stability and Control, McGrawHil, pp. 699-781, 1994.
  10. Anderson, Paul M., and Aziz A. Fouad, Power system control and stability. Wiley.com, pp. 338-341, 2008.
  11. Dr. Shailendra Jain, Modeling and Simulation Using MATLAB Simulink, Wiley India Pvt Ltd pp. 570-647, 2012.