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Rough Fuzzy Control of SVC for Power System Stability Enhancement
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 Title & Authors
Rough Fuzzy Control of SVC for Power System Stability Enhancement
Mishra, Yateendra; Mishra, Sukumar; Dong, Zhao Yang;
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 Abstract
This paper presents a new approach to the design of a rough fuzzy controller for the control loop of the SVC (static VAR system) in a two area power system for stability enhancement with particular emphasis on providing effective damping for oscillatory instabilities. The performances of the rough fuzzy and the conventional fuzzy controller are compared with that of the conventional PI controller for a variety of transient disturbances, highlighting the effectiveness of the rough fuzzy controller in damping the inter-area oscillations. The effect of the rough fuzzy controller in improving the CCT (critical clearing time) of the two area system is elaborated in this paper as well.
 Keywords
Fuzzy controller;Fuzzy set;Rough fuzzy controller;Rough set;SVC;
 Language
English
 Cited by
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Fuzzy-Logic Based Frequency Controller for Wind Farms Augmented With Energy Storage Systems, IEEE Transactions on Power Systems, 2016, 31, 2, 1595  crossref(new windwow)
2.
Static VAR Compensator Damping Controller Design Based on Flower Pollination Algorithm for a Multi-machine Power System, Electric Power Components and Systems, 2015, 43, 11, 1268  crossref(new windwow)
 References
1.
N. G. Hingorani and L. Gyugyi, Understanding FACTS: concept and technology of flexible AC transmission systems, 2000

2.
E. Handschin, N. Schnurr, and W. H. Wellssow, "Damping potential of FACTS devices in the European power system," presented at IEEE/PES General Meeting, 2003

3.
Y. Wang, H. Chen, and R. Zhou, "A nonlinear controller design for SVC to improve power system voltage stability," Electric Power and Energy Systems, vol. 22, 2000, pp. 463-470 crossref(new window)

4.
Z. Zhou, "Application of static var compensators to increase power system damping," IEEE Transactions on Power Systems, vol. 8, pp. 655-661, 1993 crossref(new window)

5.
M. Noroozain and G. Anderson, "Damping of power system oscillation by use of controllable components," IEEE Transactions on Power Delivery, vol. 9, pp. 2046-2054, 1994 crossref(new window)

6.
Z. Y. Zou, Q. J. Jiang, Y. J. Cao, and H. F. Wang, "Normal form analysis of interactions among multiple SVC controllers in power systems," Proceedings of IEE- Generation, Transmission and Distribution, vol. 152, 2005, pp. 469-474

7.
J. Ma, Z. Y. Dong, and P. Zhang, "Bifurcation analysis of a dynamic power system with SVC devices," presented at IET proc. of the 7th International Conference on Advances in Power System Control, Operation and Management, Honkong, 2007

8.
M. J. Laufenberg and M. A. Pai, "Hopf bifurcation control in power systems with static var compensators," Electric Power and Energy Systems, vol. 19, 1997, pp. 339-347 crossref(new window)

9.
Z. Y. Dong, D. J. Hill, and Y. Guo, "A power system control scheme based on security visualization in parameter space," International Journal of Electrical Power & Energy, vol. 27, pp. 488-495, 2005 crossref(new window)

10.
L. Cong, Y. Wang, and D. J. Hill, "Coordinated control design of generator excitation and SVC for transient stability and voltage regulation enhancement of multi-machine power system," Special issue of International Journal on Nonlinear and Robust Control, vol. 14, pp. 789-805, 2004 crossref(new window)

11.
E. H. Mamdani, "Applications of fuzzy algorithms for simple dynamic plant," Proc. IEE 121, 1974, pp. 1585-1588

12.
P. K. Dash, S. Mishra, and A. C. Liew," Fuzzy logic based VAR stabilizer for power system control," IEE Proc.-Gener. Transm, Distrib, vol. 142, 1995, pp. 618-624

13.
L. F. Li, K. P. Liu, and L. Ma, "Intelligent control strategy of SVC," in IEEE/PES Transmission and Distribution Conference & Exhibition, 2005

14.
A. Kazemi and M. V. Sohrforouzani, "Power system damping using fuzzy controlled facts devices," International Journal of Electrical Power and Energy Systems, vol. 28, pp. 349-357, 2006 crossref(new window)

15.
P. K. Dash, S. Morris, and S. Mishra, "Design of a nonlinear variable-gain fuzzy controller for FACTS devices," IEEE Trans. on Control Systems Technology, vol. 12, no. 3, pp. 428-438, May 2004 crossref(new window)

16.
A. J. P Ramos and H. Tyll, "Dynamic performance of a radial weak power system with multiple static VAR compensators," IEEE Trans. Power systems, vol. 4, no. 4, pp. 1316-1325, 1989 crossref(new window)

17.
E. Czogala, A. Mrozek, Z. Pawlak, "The idea of a rough fuzzy controller and its application to the stabilization of the pendulum- car system," Fuzzy Sets and Systems, vol. 72, pp. 61-73, 1995 crossref(new window)

18.
Z. Pawlak, Rough Sets: Theoretical Aspects of Reasoning about Data, Kluwer Academic Publisher, Dordrecht Boston London, 1991

19.
G. L. Torres, "Application of rough sets in power system control centre data mining," IEEE Power Engineering Society Winter Meeting, vol. 1, 2002, pp. 627-631

20.
X. Xu and J. F. Peters, "Rough set methods in power system fault classification," Canadian Conference on Electrical and Computer Engineering (IEEE CCECE 2002), vol. 1, 2002, pp. 100-105

21.
T. J. Ross, Fuzzy logic with Engineering Applications: 2nd edition, John Wiley & Sons Ltd., 2004