ANFIS UPFC Damping Controller for Multi machines Power Systems Oscillations

• Autorzy: Bekri M. A. , Hazzab A.

Warianty tytułu

PL

Sterownik ANFIS UPFC tłumiący oscylacje w systemie złożonym z wielu generatorów

• Języki publikacji: EN

Abstrakty

EN

The main purpose of this paper is to investigate an Adaptive Neuron- Fuzzy Inference System (ANFIS) based supplementary Unified Power Flow Controller (UPFC) in superimposing a damping function on the control signal of UPFC who’s incorporated in multi-machines power system. This control scheme designed to produce supplementary signal for damping oscillations in the interconnected power systems. The improved damping performance was studied and it is validated on a benchmark power system example taken from literature.The control actions are formulated as a set of local controllers, which are coordinated to maintain transient angle stability, transient voltage stability and damping of interarea and local oscillations following a disturbance.

PL

W artykule przedstawiono wyniki badania sterownika przepływu mocy UPFC wykorzystującego system ANFIS zastosowanego w systemie wielogeneratorowym. Celem było tłumienie oscylacji na połączeniach.

Słowa kluczowe

EN

power system stability; Unified Power Flow Controller (UPFC); ANFIS

PL

stabilność systemu energetycznego; przepływ mocy; ANFIS

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2013
• Tom: R. 89, nr 12
• Strony: 105--109
• Opis fizyczny: Bibliogr. 14 poz., rys.

Twórcy

autor

Bekri M. A.

• University of Bechar,BP 417, 08000, Bechar, Algeria

autor

Hazzab A.

• Bechar University, BP 417, University of Bechar, 08000, Bechar, Algeria

Bibliografia

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• [3] Prechanon Kumkratug, Application of UPFC to Increase Transient Stability of Inter-Area Power System, Journal of Computers, Vol. 4, No. 4, April 2009, pp. 283-287.
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• [5] Chung T. S., Xiaodong Yang, Fang D. Z. and Chung C. Y., Development of Adaptive UPFC supplementary Fuzzy Controller for Power System Stability Enhancement , IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technology(DRPT2004), Hong Kong April 2004, pp. 216-221.
• [6] Al-Awami Ali T., Abdel-Magid Y. L. and Abido M. A., A particleswarm-based approach of system stability enhancement with unified power flow controller, ESEVIER, Electrical Power&Energy Systems Vol 29, 2007, pp. 251-259.
• [8] Anderson P. M. and Fouad A. A., Power System Control and Stability, IEEE press Second Edition 2003.
• [9] Huang Z. Y., Ni Y. X., Shen C. M., Wu F. F., Chen S. S., and Zhang B. L., Application of unified power flow controller in interconnected power systems - modelling, interface, control strategy, and case study, IEEE Trans. Power Systems, Nov. 2000, vol. 15, pp. 817-824.
• [11] Dakka Obulesu, Kodad S.F., Sankar Ram B.V., Novel Development of a Fuzzy Control Scheme with UPFC’s for Damping of Oscillations in multi-machine Power Systems, International Journal of Reviews in Computing, IJRIC 2009, pp. 25-40
• [12] Jyh-Shing Roger Jang, ANFIS: Adaptive-Network-Based Fuzzy Inference System, IEEE Trans. Syst. Man and Cyber. 23, (3), 1993,pp. 665-685.
• [13] Kundur P., Power System stability and Control, McGraw-Hill Inc., 1994
• [13] Higorani N.G, Gyugyi L, Understanding FACTS Devices , IEEE Press 2000.
• [14] Takagi T. and Sugeno M., Fuzzy identification of systems and its applications to modelling and control, IEEE Trans. Sys. Man and Cyber, 1985, Vol15, pp.116-132.