Use of ANFIS Control Approach for SSSC based Damping Controllers Applied in a Two-area Power System

 

D. Murali*¹, M. Rajaram²

 

¹ Department of Electrical and Electronics Engineering, Government College of Engineering, Salem, Tamilnadu, India. *muralid36@yahoo.com.

² Anna University, Chennai, Tamilnadu, India.

 

ABSTRACT

In an interconnected power system, low frequency electromechanical oscillations are initiated by normal small changes in system loads, and they become much worse following a large disturbance. Flexible AC Transmission System (FACTS) devices are widely recognized as powerful controllers for damping power system oscillations. The standard FACTS controllers are linear controllers which may not guarantee acceptable performance or stability in the event of a major disturbance. To overcome the drawbacks of conventional controllers, ANFIS (Adaptive Neuro-Fuzzy Inference System) control scheme has been developed in this paper, and it has been applied for the external coordinated control of series connected FACTS controllers known as Static Synchronous Series Compensators (SSSCs) employed in a two-area power system. In neuro-fuzzy control method, the simplicity of fuzzy systems and the ability of training in neural networks have been combined. The training data set the parameters of membership functions in fuzzy controller. This ANFIS can track the given input-output data in order to conform to the desired controller. Simulation studies carried out in MATLAB/SIMULINK environment demonstrate that the proposed ANFIS based SSSC controller shows the improved damping performance as compared to conventional SSSC based damping controllers under different operating conditions.

Keywords: ANFIS, FACTS, low frequency electromechanical oscillations, MATLAB/SIMULINK, SSSC.

 

DESCARGAR ARTÍCULO EN FORMATO PDF

 

References

[1] P. Asare et al. "An Overview of Flexible AC Transmission Systems", ECE Technical Reports PURDUE University, 1994.         [ Links ]

[2] J. Paserba, "How FACTS Controllers Benefit AC Transmission Systems", Transmission and Distribution Conference and Exposition, PES 2003.         [ Links ]

[3] Graham Rogers, "Power System Oscillations", Kluwer Academic Publishers, Boston, 2002.         [ Links ]

[4] T. Hiyama, "Robustness of Fuzzy Logic Power System Stabilizers Applied to Multimachine Power System", IEEE Transactions on Energy Conversion, vol. 9, no. 3, 1994, pp. 451-459.         [ Links ]

[5] A. S. Venugopal et al., "An Adaptive Neuro Fuzzy Power System Stabilizer for Damping Inter-area Oscillations in Power Systems", Proceedings of 36th the Southeastern Symposium on System Theory, 2004, pp. 41-44.         [ Links ]

[6] D. Murali and M. Rajaram, "Neuro-Fuzzy Based Power System Stabilizers for Damping Oscillations in Multi-machine Power Systems", Journal of Electrical Engineering, vol.12, no. 2, June 2012, pp. 31-38.         [ Links ]

[7]. A. Safari et al., "Controller Design of STATCOM for Power System Stability Improvement Using Honey Bee Mating Optimization", Journal of Applied Research and Technology, vol. 11, no. 1, February 2013, pp. 144-155,         [ Links ]

[8] L. Gyugyi et al., "Static Synchronous Series Compensator: A Solid-State Approach to the Series Compensation of Transmission Lines", IEEE Transactions on Power Delivery, vol. 12, no. 1, 1997, pp. 406-417.         [ Links ]

[9] H. F. Wang, "Design of SSSC Damping Controller to Improve Power System Oscillation Stability", AFRICON, IEEE, no. 1, 1999, pp. 495-500.         [ Links ]

[10] W. Qiao and R. G. Harley, "Indirect Adaptive External Neuro-control for a Series Capacitive Reactance Compensator Based on a Voltage Source PWM Converter in Damping Power Oscillations", IEEE Transactions on Industrial Electronics, vol. 54, no. 1, February 2007, pp. 77-85.         [ Links ]

[11] J. R. Jang, "ANFIS Adaptive-netwok-Based Fuzzy Inference System", IEEE Transactions on Systems, Man and Cybernetics, vol. 23, no. 3, 1993, pp. 665-685.         [ Links ]

[12] S. P. Ghoshal, "Multi-Area Frequency and Tie-Line Power Flow Control with Fuzzy Logic Based Integral Gain Scheduling", IE (I) Journal-EI, vol. 84, December 2003, pp. 135-141.         [ Links ]

[13] "Fuzzy Logic Toolbox", Available: www.mathworks.com.         [ Links ]

[14] T. R. Sumithira and A. Nirmal Kumar, "Elimination of Harmonics in Multilevel Inverters Connected to Solar Photovoltaic Systems Using ANFIS: An Experimental Case Study", Journal of Applied Research and Technology, vol. 11, no. 1, February 2013, pp. 124-132.         [ Links ]

[15] A. Kazemi et al., "Optimal Selection of SSSC Based Damping Controller Parameters for Improving Power System Dynamic Stability Using Genetic Algorithm", Iranian Journal of Science & Technology, Transaction-B, Engineering, vol. 29, no. B1, 2005, pp. 1-10.         [ Links ]

[16] H. F. Wang et al., "A Unified Model for the Analysis of FACTS Devices in Damping Power System Oscillations, II. Multi-machine Power Systems", IEEE Transactions on Power Delivery, vol. 13, no. 4, 1998, pp. 1355-1362.         [ Links ]

[17] Y. Y. Hsu and C. R. Chen, "Tuning of Fuzzy Power System Stabilizers Using Artificial Neural Network", IEEE Transactions on Energy Conversion, vol. 6, no. 4, 1991, pp. 612-619.         [ Links ]

[18] Lijun Cai and Istvan Erlich, "Fuzzy Coordination of FACTS Controllers for Damping Power System Oscillations", Proc. of Modern Electric Power Systems-2002.         [ Links ]

[19] P. K. Dash et al., "Damping Multi-modal Power System Oscillation Using a Hybrid Fuzzy Controller for Series Connected FACTS Devices", IEEE Transactions on Power Systems, vol. 15, no. 4, November 2000, pp. 1360-1366.         [ Links ]

[20] Neeraj Gupta and Sanjay K. Jain, "Comparative Analysis of Fuzzy Power System Stabilizer using Different Membership Functions", International Journal of Computer and Electrical Engineering, vol. 2, no. 2, April 2010, pp. 262-267.         [ Links ]

[21] P. M. Anderson and A. A. Fouad, "Power System Control and Stability", Wiley-IEEE Press, 2003.         [ Links ]

[22] Y. N. Yu, "Electric Power System Dynamics", Academic Press, 1983.         [ Links ]