Load Frequency Control of Multi-area Power Systems Using Neuro-Fuzzy Hybrid Intelligent Controllers

REFERENCES

• George Gross, and Jeong Woo Lee, “Analysis of load frequency control performance assessment criteria,” IEEE Trans. Power Syst., Vol. 16, no. 3, pp. 520–5, Aug. 2001.
   Web of Science ®Google Scholar
• D. P. Kothari, and Nagrath, Modern Power System Analysis. New Delhi: Tata McGraw-Hill, 2003, 3rd ed.
   Google Scholar
• P. Kundur, Power System Stability and Control. New York, NY: McGraw Hill, 1994, pp. 581–626.
   Google Scholar
• C. L. Wadhawa, Electric Power System. New Delhi: New Age International Pub. Edition, 2007.
   Google Scholar
• O. I. Elgerd, Elctric Energy System Theory; An introduction. New York: McGraw Hill, 1971.
   Google Scholar
• Jawad Talaq, and Fadel Al-Basri, “Adaptive fuzzy gain scheduling for load frequency control,” IEEE Trans. Power Syst., Vol. 14, no. 1, pp. 145–50, Feb. 1999.
   Web of Science ®Google Scholar
• P. Aravindan, and M. Y. Sanavullah, “Fuzzy logic based automatic load frequency control of two area power system with GRC,” Int. J. Comput. Intell. Res., Vol. 5, no. 1, pp. 37–44, Nov. 2009.
   Google Scholar
• J. Nanda, and J. S. Kakkarum, “Automatic generation control with fuzzy logic controllers considering generation constraints,” in Proceeding of 6th International Conference on Advances in Power System Control Operation and managements, Hong Kong, 2003, pp. 770–5.
   Google Scholar
• A. Magla, and J. Nanda, “Automatic generation control of an interconnected hydro-thermal system using conventional integral and fuzzy logic control,” in Proceedings of IEEE Electric Utility Deregulation, Restructuring and Power Technologies, Hong Kong, 2004, pp. 372–7.
   Google Scholar
• A. Demiroren, H. L. Zeynelgil, and N. S. Sengor, “The application of ANN technique to load-frequency control for three-area power system,” 2001 IEEE Porto Power Tech Conference, Porto, Sep. 10–13.
   Google Scholar
• Surya Prakash, and S. K. Sinha, “Impact of slider gain on load frequency control using fuzzy logic controller,” ARPN J. Eng Appl. Sci., Vol. 4, no. 7, pp. 20–7, Sep. 2009.
   Google Scholar
• John Y, Hung, “ Variable structure control: A survey,” IEEE Trans. Ind. Electron., Vol. 40, no. 1, pp. 1–20, Feb. 1993.
   Web of Science ®Google Scholar
• Ashok Kumar, O. P. Malik, and G. S. Hope, “Variable-structure-system control applied to AGC of an interconnected power system,” IEE Proc., Vol. 132, Pt. C, no. 1, pp. 23–8, Jan. 1985.
   Google Scholar
• Timothy. J. Ross, Fuzzy Logic with Engineering Application (International Edition). New Delhi: McGraw Hill, 1995
   Google Scholar
• Q. P. Ha, “A fuzzy sliding mode controller for power system load frequency control,” Second International Conference of Knowledge-Based Intelligent Electronic System, Adelaide, Apr. 21–23, 1998.
   Google Scholar
• M. Masiala, M. Ghnbi, and A. Kaddouri “An adaptive fuzzy controller gain scheduling for power system load-frequency control,” IEEE International Conference on Industrial Technology (ICIT), 2004, pp. 1515–20.
   Google Scholar
• H. Shayeghi, H. A. Shayanfar, and A Jalili, “Load frequency control strategies: A state-of-the- art survey for the researcher,” Energy Conversion and management, Vol. 50, no. 2, pp. 344–53, Apr. 2009.
   Web of Science ®Google Scholar
• I. Ibraheem, Prabhat Kumar, and D. P. Kothari, “Recent philosophies of automatic generation control strategies in power systems,” IEEE Trans. Power Syst., Vol. 20, no. 1, pp. 346–57, Feb. 2005.
   Web of Science ®Google Scholar
• Panna Ram, and A. N. Jha, “Automatic generation control of interconnected hydro-thermal system in deregulated environment considering generation rate constraints,” in International Conference on Industrial Electronics, Control and Robotics, IIT, New Delhi, 2010, pp. 148–58.
   Google Scholar
• K. P. Singh Parmar, S. Majhi, and D. P. Kothari, “Load frequency control of a realistic power system with multi-source power generation,” Int. J. Elec Power and Energy Syst, Vol. 42, no. 1, pp. 426–33, 2012.
   Web of Science ®Google Scholar
• Emre Ozkop1, Ismail H. Altas1, and Adel M. Sharaf, “Load frequency control in four area power systems using fuzzy logic PI controller”, 16th National Power Systems Conference, Department of Electrical Engineering, University College of Engineering, Osmania University, Hyderabad, Dec. 15–17, 2010, pp. 233–6.
   Google Scholar
• B. Anand, and A. Ebenezer Jeyakumar, “Load frequency control with fuzzylogic controller considering non-linearities and boiler dynamics,” ICGST-ACSE J., Vol. 8, no. 111, pp. 15–20, Apr. 2009, ISSN 1687-4811.
   Google Scholar
• K. R. Sudha, and R. Vijaya Santhi, “Robust decentralized load frequency control of interconnected power system with generation rate constraint using type-2 fuzzy approach,” Int. J. Electr. Power Energy Syst., Vol. 33, no. 3, pp. 699–707, Mar. 2011.
   Web of Science ®Google Scholar
• S. Hykin, Neural network. New York, NY: Mac Miller, 1994.
   Google Scholar
• J. N. Mines, MATLAB Supplement to Fuzzy & Neural approach in Engineering. New York, NY: John Wiley, 1997.
   Google Scholar
• Surya Prakash, and S. K. Sinha, “Intelligent PI control technique in four area load frequency control of interconnected hydro-thermal power system,” in International Conference on Computing, Electronics and Electrical Technologies [ICCEET], Kanyakumari, India, 2012. 978-1-4673-0210-4112/$31.00©2012 IEEE.
   Google Scholar
• Gayadhar Panda, Sidhartha Panda, and Cemal Ardil, “Automatic generation control of interconnected power system with generation rate constraints by hybrid neuro fuzzy approach,” World Academy of Science, Engineering & Technology, Vol. 52, pp. 543–8, 2009.
   Google Scholar
• H. Shayeghi, and H. A. Shayanfar, “Power system load frequency control using RBF neural network based on µ-synthesis theory,” in Proceeding of IEEE conference on cybernetics and intelligent system Singapore, Dec 1–3, 2004, pp. 93–8.
   Google Scholar
• Swasti R. Khuntia, and Sidhartha Panda, “Simulation study for automatic generation control of a multi-area power system by ANFIS approach,” Appl Soft Comput, Vol. 12, pp. 333–41, 2012.
   Web of Science ®Google Scholar
• J. R. Jang, “ANFIS: Adaptive-network-based fuzzy inference system,” IEEE Trans. Syst. Man Cybern. Syst., Vol. 23, no. 3, pp. 665–85, May. 1993.
   Web of Science ®Google Scholar
• Surya Prakash, and S. K. Sinha, “Neuro fuzzy hybrid intelligent approach for four-area load frequency control of interconnected power system,” in 2nd International Conference on Power, Control and Embedded Systems, Allahabad, India, 2012. 978-1-4673-1049-9/12/$31.00©2012IEEE.
   Google Scholar