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Automatic Generation Control of the Two Area Non-reheat Thermal Power System using Gravitational Search Algorithm

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Warianty tytułu
PL
Automatyczne sterowanie cieplnym system wytwarzania energii z wykorzystaniem algorytmu grawitacyjnego GSA
Języki publikacji
EN
Abstrakty
EN
In this study, determination of the optimal proportional-integral-derivate (PID) parameters with Gravitational search algorithm (GSA) for automatic generation control (AGC) of the two area non-reheat thermal power system is proposed. GSA is applied to search for the optimal PID controller parameters to minimize various performance indexes. The designed PID controller with the proposed approach is simulated under variety of operating conditions. Simulation results are shown that dynamic performance of the two area non-reheat thermal power system is improved by the designed PID controller with the proposed approach.
PL
W artykule zaproponowano określenie optymalnej wartości PID w cieplnym systemie wytwarzania energii. Do tego celu użyto algorytmu grawitacyjnego GSA. Opracowany sterownik został zbadany metodami symulacyjnymi. (Automatyczne sterowanie cieplnym system wytwarzania energii z wykorzystaniem algorytmu grawitacyjnego GSA)
Rocznik
Strony
254--259
Opis fizyczny
Bibliogr. 28 poz., rys., tab.
Twórcy
autor
autor
Bibliografia
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  • [3] Daneshfar F., Bevrani H., Load-Frequency Control: A GABased Multi-Agent Reinforcement Learning, IET Generation, Transmission & Distribution, 4 (2010), No. 1, 13-26.
  • [4] Liu X., Zhan X., Qian D., Load Frequency Control Considering Generation Rate Constraints, Proceedings of the 8th World Congrees on Intelligent Control and Automation, (2010), 1398-1401.
  • [5] Oğuz Y., Fuzzy PI Control with Parallel Fuzzy PD Control for Automatic Generation Control of a Two-Area Power Systems, Gazi University Journal of Science, 24 (2011), No. 4, 805-816.
  • [6] Ibraheem, Kumar P., Kothari D.P., Recent Philosophies of Automatic Generation Control Strategies in Power Systems, IEEE Transactions on Power Systems, 20 (2005), No. 1, 346-357.
  • [7] Pothiya S., Ngamroo I., Optimal Fuzzy Logic-Basd PID Controller for Load-Frequency Control including superconducting magnetic energy storage units, Energy Conversion and Management, 49 (2008), 2833-2838.
  • [8] Bhatt P., Ghoshal S.P., Roy R., Load Frequency Stabilization by Coordinated Control of Thyristor Controlled Phase Shifters and Superconducting Magnetic Energy Storage for Three Types of Interconnected Two-Area Power Systems, International Journal of Electrical Power and Energy Systems, 32 (2010), 1111-1124.
  • [9] Golpîra H., Bevrani H., Golpîra H., Application of GA Optimization for Automatic Generation Control Design in an Interconnected Power System, Energy Conversion and Management, 52 (2011), 2247-2255.
  • [10] Khodabakhshian A., Hooshmand R., A New PID Controller Design for Automatic Generation Control of Hydro Power Systems, International Journal of Electrical Power and Energy Systems, 32 (2010), 375-382.
  • [11] Shayeghi H., Shayanfar H.A., Jalili A., LFC Design of a Deregulated Power System with TCPS using PSO, International Journal of Electical Power and Energy Systems Engineering, 2 (2009), No. 2, 112-120.
  • [12] Abraham R.J., Das D., Patra A., Effect of Capacitive Energy Storage on Automatic Generation Control, The 7th International Power Engineering Conference (IPEC), (2005), 1070-1074.
  • [13] Khansum C., Pothiya S., Taowklang C., Sa-ngiamvibool W. Design of Optimal PID Controller using Improved Genetic Algorithm for AGC including SMES Units, GMSARN International Conference on Sustainable Development: Issues and Prospects for GMS, (2006), 1-5.
  • [14] Yeşil E., Güzelkaya M., Eksin I., Self tuning fuzzy PID type load and frequency controller, Energy Conversion and Management, 45 (2004), 377-390.
  • [15] Rashedi E., Nezamabadi-pour H., Saryazdi S., GSA: A Gravitational Search Algorithm, Information Sciences, 179 (2009) 2232-2248.
  • [16] Rashedi E., Nezamabadi-pour H., Saryazdi S., BGSA: Binary Gravitational Search Algorithm, Natural Computing, 9 (2010), 727-745.
  • [17] Duman S., Güvenç U., Yörükeren N., Gravitational Search Algorithm for Economic Dispatch with Valve-Points Effects, International Review of Electrical Engineering (I.R.E.E.), 5 (2010), No. 6, 2890-2895.
  • [18] Duman S., Sönmez Y., Güvenç U., Yörükeren N., Application of Gravitational Search Algorithm for Optimal Reactive Power Dispatch Problem, International Symposium on Innovations in Intelligent Systems and Applications (INISTA 2011), (2011), 519-523.
  • [19] Duman S., Arsoy A.B., Yörükeren N., Solution of Economic Dispatch Problem using Gravitational Search Algorithm, 7th International Conference on Electrical and Electronics Engineering (ELECO 2011), (2011), 54-59.
  • [20] Duman S., Maden D., Güvenç U., Determination of the PID Controller Parameters for Speed and Position Control of DC Motor using Gravitational Search Algorithm, 7th International Conference on Electrical and Electronics Engineering (ELECO 2011), (2011), 226-230.
  • [21] Yin M., Hu Y., Yang F., Li X., Gu W., A Novel Hybrid Kharmonic Means and Gravitational Search Algorithm Approach for Clustering, Expert Systems with Applications, 38 (2011), 9319-9324.
  • [22] Askari H., Zahiri S. H., Decision Function Estimation using Intelligent Gravitational Search Algorithm, Int. J. Mach. Learn. & Cyber., online (2011) DOI 10.1007/s13042-011-0052-x
  • [23] Han X.H., Chang X.M., Chaotic Secure Communication based on a Gravitational Search Algorithm Filter, Engineering Applications of Artificial Intelligence, (2012) in press doi:10.1016/j.engappai.2012.01.014
  • [24] Ramos C.C.O., Nunes de Souza A., Falcão A.X., Papa J.P., New Insights on Nontechnical Losses Characterization Through Evolutionary-Based Feature Selection, IEEE Transactions on Power Delivery, 27 (2012), No. 1, 140-146.
  • [25] Bahrololoum A., Nezamabadi-pour H., Bahrololoum H., Saeed M., A Prototype Classifier based on Gravitational Search Algorithm, Applied Soft Computing, 12 (2012), 819-825.
  • [26] Rashedi E., Nezamabadi-pour H., Saryazdi S., Filter Modeling using Gravitational Search Algoritm, Engineering Applications of Artificial Intelligence, 24 (2011), 117-122.
  • [27] Li C., Zhou J., Xiao J., Xiao H., Parameters Identification of Chaotic System by Chaotic Gravitational Search Algorithm, Chaos, Solitons & Fractals, 45 (2012), 539-547.
  • [28] Ali E.S., Abd-Elazim S.M., Optimal PID Tuning for Load Frequency Control using Bacteria Foraging Optimization Algorithm, Proceedings of the 14th International Middle EastPower Systems Conference (MEPCON’10), (2010), 410-415.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPS3-0025-0070
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