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Warianty tytułu
Języki publikacji
Abstrakty
In this paper the design an optimal PSS-PID controller for single machine connected to an infinite bus (SMIB). We presented a novel application of particle swarm optimization (PSO) for the optimal tuning of the new PSS-PID controller. The proposed approach has superior features, including easy implementation, stable convergence characteristic and good computational efficiency. The synchronous generator is modeled and the PSO algorithm is implemented in Simulink of Matlab. The obtained results have proved that (PSO) are a powerful tools for optimizing the PSS parameters, and more robustness of the system IEEE SMIB.
Słowa kluczowe
Rocznik
Tom
Strony
48--52
Opis fizyczny
Bibliogr. 9 poz., rys.
Bibliografia
- [1] Mohammed H. al-khafaji, Shatha S. Abdulla alkabragyi, “Particle Swarm Optimization for Total Operating Cost Minimization in Electrical Power System”, Eng. & Tech. Journal, vol. 29, no.12, 2011, 2539–2550.
- [2] C. H. Chen, S. N. Yeh, “Particle Swarm Optimization for Economic Power Dispatch with Valve-Point Effects”. In: IEEE PES Transmission and Distribution Conference and Exposition Latin America, Venezuela 2006. DOI: 10.1109/TDCLA. 2006.311397.
- [3] Ahmed Sabah Al-Araji, “Applying Cognitive Methodology in Designing On-Line Auto-Tuning Robust PID Controller for the Real Heating System”, Journal of Engineering, vol. 20, no. 9, September 2014, 43–61.
- [4] Fadhil A. Hassan, Lina J. Rashad, “Particle Swarm Optimization for Adapting Fuzzy Logic Controller of SPWM Inverter Fed 3-Phase I.M”, Eng. & Tech. Journal, vol. 29, no. 14, 2011, 2912–2925.
- [5] Fadel Mohammed , Bassam Abdelelah Kidher Mahmood, “Design of Fractional Order PID Controller Based Particle SWARM”, Diyala Journalof Engineering Sciences, vol. 7, no. 4, December 2014, 24–39.
- [6] Jin-Kao Hao, Philippe Galinier, Michel Habib, “Méthaheuristiques pour l’optimisation combinatoire et l’affectation sous contraintes”, LERIA, U.F.R. Sciences, Université d’Angers, 2 bd Lavoisier, 49045 Angers. Avalaible at : http://www.info. univ-angers.fr/pub/hao/papers/RIA.pdf.
- [7] D. E. Ghourad et al., “Exploitation des techniques fréquentielles avancées dans le contrôle automatique d’excitation des machines synchrones”, Journal of Advanced Research in Science and Technology, 2014, 1(2), 58–77.
- [8] K.E. Khoshmardan, M.R.Dastranj, M.O. Taleghani, A. Hajipoor, “Design a Fuzzy Logic Based Speed Controller for DC Motor with Particle Swarm Optimization “PSO” Algorithm”, Australian Journal of Basic and Applied Sciences.Azad University, Sabzevar, Iran.2011, 1283–1290.
- [9] C. Thanga, S.P. Snvastava, P. Agarwal, “Particle Swarm and Fuzzy Logic Based Optimal Energy Control of Induction Motor for a Mine Hoist Load Diagram”, IAENG International Journal of Computer Science, vol. 36, no. 1, 2009.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-fcbd9733-97b8-4bda-8aa3-db296638b179