Online Adaptive Neuro-Fuzzy Inference Based SVC Control Strategy for Stability Enhancement in Two-Machine Power System
Main Article Content
Abstract
An online auxiliary control was designed for Static Var Compensator (SVC) to improve the poorly damped oscillations in power system subjected to large disturbances. This paper presents auxiliary control based on Adaptive Neuro-Fuzzy Inference (ANFIS) control using triangular membership function. Such a model free based control does not require any prior information about the system and is robust to system changes quickly. The time domain simulation results were carried out for two machine test system for two different cases. In order to exploit the performance and robustness of ANFIS control, the results were compared with conventional PI. Controler simulation results and performance indices reveal that the proposed control outperforms during various fault conditions and hence improves the transient stability to a great extend.
Keywords
Static Var Compensator, Muti-Machine Power System, Adaptive Neuro-Fuzzy Inference, Stability
Article Details
References
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[17].H. Rahman, R. Islam Sheikh and H. O. Rashid, Stability Improvement of Power System by Using PI & PD Controller, Comp. Tech. App. vol. 4, 111-118, 2013.
[18].N. Karpagam and D. Devaraj, Fuzzy logic control of
[2]. P. Kundur, Power system stability and control, 2nd ed., USA: Mc Graw-Hill, 1993.
[3]. P. M. Anderson and A.A. Fouad, Power System Control and Stability, 2nd ed., USA: Wiley- IEEE Press, 1997.
[4]. X. Lei, E.N. Lerch and D. Povh, Optimization and coordination of damping controls for improving system dynamic performance, IEEE Trans. Power Syst., vol. 16, 473 – 480, 2001.
[5]. E. V. Larsen and D. A. Swann, Applying power system stabilizers, P-III, practical considerations, IEEE Trans. Power App. Syst., 1981, vol. 100, pp. 3034 – 3046, 1981.
[6]. J. G. Douglas and G. T. Heydt, Power Flow Control and Power Flow Studies for Systems with FACTS Devices, IEEE Trans. Power Syst., vol. 13, 60 – 65, 1998.
[7]. R. Majumder, B. C. Pal, C. Dufour, and P. Korba, Design and real time implementation of robust FACTS controller for damping inter area oscillation, IEEE Trans. Power Syst., vol. 21, pp. 809 – 816, 2006.
[8]. P. Rao, M. L. Crow and Z. Yang, STATCOM control for power system voltage control applications, IEEE Trans. Power Delivery, vol. 15, pp. 1311 – 1317, 2000.
[9]. H. Rahman, F. Rahman and H. Rashid, Stability improvement of power system by using SVC with PID controller, Int. J. Emerging Tech. Adv. Eng., vol. 2, 2012.
[10].L. Wang, Comparative study of power system stabilizers, Static VAR Compensators and rectifier current regulators for damping of power system generator oscillations, IEEE Trans. Power Syst., vol. 8, pp. 613 – 619, 1993.
[11].S. C. Kapoor, Dynamic stability of static compensator synchronous generator combination, IEEE Trans. Power App. Syst., vol. PAS-100, pp. 1694 – 1702, 1981.
[12]. E. Z. Zhou, Application of Static VAR compensators to increase power system damping, IEEE Trans. Power Syst., vol. 8, pp. 655 – 661, 1993.
[13].B. Pal and B. Chaudhuri, Robust control in power systems, New York, USA: Springer, 2005.
[14].Y. Chang and X. Zhen, A novel SVC supplementary controller based on wide area signals, Electr. Power Syst. Res., vol. 77, pp. 1569 – 1574, 2007.
[15].P. K. Dash, S. Mishra, G. Panda, Damping multimodal power system oscillations using a hybrid fuzzy controller for series connected FACTS devices, IEEE Trans. Power Syst., vol. 15, pp. 1360 – 1366, 2000.
[16].M. Kamari, et al. Computational intelligence approach for SVC-PID controller in angle stability improvement, IEEE Conf. Power Eng. Opt., 2012.
[17].H. Rahman, R. Islam Sheikh and H. O. Rashid, Stability Improvement of Power System by Using PI & PD Controller, Comp. Tech. App. vol. 4, 111-118, 2013.
[18].N. Karpagam and D. Devaraj, Fuzzy logic control of