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Multi-machine power system fuzzy stabilizer design using Cuckoo search algorithm

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Warianty tytułu
PL
Wykorzystanie algorytmu typu Cuckoo do tłumienia oscylacji w systemie z wieloma źródłami
Języki publikacji
EN
Abstrakty
EN
Nowadays, fuzzy controllers have achieved an important role in different systems and their superiority over the classical control methods has been proved. In this study, the power system stabilizer is used to damp the power system oscillations based on the fuzzy logic controller. A three-phase to ground-fault test is done during a period of 10 ms to evaluate power system behaviour between the area of two distinct points. Simulation results show that the system is unstable without a stabilizer. It has also been determined that the fuzzy stabilizers have high ability to damp the system oscillations in comparison with classical stabilizers so that system oscillations are damped with higher speed and lower amplitude. Also in this study, the Cuckoo search algorithm is used to optimize the fuzzy stabilizer inputs and improve its performance. The results show that the optimizations of stabilizer parameters improve their damping performance.
PL
W artykule opisano algorytm typu Fuzzy logic wykorzystany do tłłumirnia oscylacji w systemie zasilania.Wykoyowany jest test systemu między dwoma odległymi punktami. W porównaniu z klasycznymi sterownikami zaproponowany sterownik oscylacje tłumione sa szybciej i skuteczniej.
Rocznik
Strony
1--5
Opis fizyczny
Bibliogr. 19 poz., rys., tab., wykr.
Twórcy
autor
  • Faculty Member of Electrical Engineering, Department of Electrical Engineering, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran
  • Faculty Member of Electrical Engineering, Department of Electrical Engineering, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran
  • Faculty Member of Electrical Engineering, Department of Electrical Engineering, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran
autor
  • Electrical Engineering, Department of Electrical Engineering, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran
Bibliografia
  • [1] Biernacki M., Przybysz J., Operating disruptions of turbogenerators TWW-200-2 and TWW-200-2A type,Przegląd Elektrotechniczny, 10(2015), 43-47.
  • [2] Maljkovic Z., Stipetic S., Synchronous generator for induced AC voltage test of single-phase and three-phase power transformers, Przegląd Elektrotechniczny, 12(2014), 141-144.
  • [3] Kroics K., Sirmelis U., Brazis V., Design of coupled inductor for interleaved boost converter, Przegląd Elektrotechniczny, 12(2014), 91-94.
  • [4] Yousef A.M., Kassem A. M., Optimal pole shifting controller for interconnected power system, Energy Conversion and Management, Vol. 52, No. 5, 2011, 2227-2234.
  • [5] Furini M.A., Pereira A.L.S., Araujo P.B., Pole placement by coordinated tuning of Power System Stabilizers and FACTSPOD FACTSPOD stabilizers, Electrical Power and Energy Systems, Vol. 33, No.3, 2011, 615-622.
  • [6] Farsangi M.M., Song Y.H., Tan M., Multi-objective design of damping controllers of FACTS devices via mixed H2/ H∞ with regional pole placement, Electrical Power and Energy Systems, Vol. 25, No.6, 2003, 339-346.
  • [7] Abdelazim T., Malik O.P., An adaptive Power System Stabilizer Using On-line Self-learning Fuzzy Systems, In Proc. IEEE Power Engineering Society, Canada, Vol.3, 2003, (1715-1720).
  • [8] You R., Eghbali H.J., Nehrir, M.H., An Online Adaptive Neuro-Fuzzy Power System Stabilizer for Multimachine Systems, IEEE Trans. Power System, Vol. 18, No.1, 2003, 128-135. PRZEGLĄD ELEKTROTECHNICZNY, ISSN 0033-2097, R. 92 NR 3/2016 5
  • [9] Wang S.K., A Novel Objective Function and Algorithm for Optimal PSS Parameter Design in a Multi-Machine Power System, IEEE TRANS. POWER SYSTEMS, VOL. 28, NO. 1, 2013, 522-531.
  • [10] Khodabakhshian A., Hemmati R., Moazzami M., Multi-band power system stabilizer design by using CPCE algorithm for multi-machine power system, Electric Power Systems Research, 101(2013), 36–48.
  • [11] Kyanzadeh S., Farsangi M.M., Nezamabadipour H., Lee K.Y., Design of Power System Stabilizer Using Immune Algorithm, 14th Int. Conf. Intelligence Systems Application to power Systems, (01)2007, 1-6.
  • [12] Bijami E., Askari J., Farsangi M.M., Power System Stabilizers Design by Using Shuffled Frog Leaping, 6th Int. Conf. Technical and Physical Problems of Power Engineering, (01)2010, 1-5.
  • [13] Linda M.M., KesavanNair N., A new fangled adaptive mutation breeder genetic optimization of global multi-machine power system stabilizer, International Journal of Electrical Power & Energy Systems, Vol. 44, (01)2013, 249-258.
  • [14] Chatterjee S., Ghoshal P., Mukherjee V., Chaotic ant swarm optimization for fuzzy-based tuning of power system stabilizer, International Journal of Electrical Power & Energy Systems, Vol. 33, (01)2013, 657-672.
  • [15] Rajabioun R., Cuckoo Optimization Algorithm, Applied Soft Computing, 11(2011), 5508–5518.
  • [16] Yang X.S., Deb S., Cuckoo search via Lévy flights, World Congress on Nature & Biologically Inspired Computing, 01(2009), 210-214.
  • [17] Larsen E., Swan D., Applying power system stabilizers: parts III and III, IEEE Trans. Power Apparatus and Systems, 06(1981), 3034-3046.
  • [18] Chen G.P., Malik O.P., Hope G.S., Qin Y.H., Xu G.Y., An adaptive power system stabilizer based on the selfoptimization pole shifting control strategy, IEEE Trans. on Energy Conversion, Vol. 8, No. 4, 1993, 639-645.
  • [19] Maśnicki R., Jurek K., The structures of the power generators designed for laboratory use, Przegląd Elektrotechniczny, 08(2015), 30-34.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-fb06433b-3f96-421b-ab9f-f78a2df6ea0e
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