[1] S. Baudoin, I. Vechiu and H. Camblong, “A review of voltage and frequency control strategies for islanded microgrid”, ieee, 16th international conference on system theory, 2012.
[2] J. Horne, D. Flynn and T. Littler, “Frequency stability issues for islanded power systems”, ieee, power systems conference and exposition, 2004.
[3] W. I. Rowen, “Simplified mathematical representations of heavy-duty gas turbines”, asme, journal of engineering for power, vol. 105, pp. 865-869, 1983.
[4] W. I. Rowen, “Simplified mathematical representations of single shaft gas turbines in mechanical drive service”, asme, gas turbine and aeroengine international congress and exposition, 1992.
[5] S. K. Yee, J. V. Milanović and F. M. Hughes, “Overview and comparative analysis of gas turbine models for system stability studies”, ieee, transactions on power systems , vol. 23, pp. 108- 118, 2008.
[6] F. P. De Mello and D. J. Ahner, “Dynamic models for combined cycle plants in power system studies”, ieee, transactions on power systems , vol. 9, pp. 1698- 1708, 1994.
[7] Silvio Simani, " Identification and fault diagnosis of a simulated model of an industrial gas turbine", ieee, transactions on industrial informatics, vol. 1, pp. 202-216, 2005.
[8] Saeed Bahrami, Ali Ghaffari, S.HosseinSadati and Marcus Thern, “Identifying a simplified model for heavy duty gas turbine”, springer, journal of mechanical science and technology, vol. 28, pp. 2399-2408, 2014.
[9] Rahul Malhotra, Narinder Singh and Yaduvir Singh, " Soft computing techniques for process control applications", international journal on soft computing, pp. 32-44, 2011.
[10] C.M. Bartolini, F. Caresana, G. Comodi, L. Pelagalli, M. Renzi and S. Vagni, “Application of artificial neural networks to micro gas turbines”, elsevier, energy conversion and management, vol. 52, pp. 781-788, 2011.
[11] R. Malhotra, N. Singh and Y. Singh, “An efficient fuzzy-ga flow control of turbine compressor system: a process control case study”, international journal of advancements in computing technology, vol. 2, pp. 128-139, 2010.
[12] Zhitao Wang and Shuying Li,” Simulation study on fuzzy pid control of gas turbine generating sets speed”, ieee, intelligent computing and intelligent systems international conference, 2009.
[13] M.Montazeri-Gh, H.Yousefpour and S.Jafari, ”Fuzzy logic computing for design of gas
turbine engine fuel control system”, ieee, computer and automation engineering international conference, 2010.
[14] Arnulfo Rodriguez-Martinez, Raul Garduno- Ramirez and Luis Gerardo Vela-Valdes, ”PI fuzzy gain-scheduling speed control at startup of a gas-turbine power plant”, ieee, transactions on energy conversion,vol. 26, pp. 310-317, 2011.
[15] Zhen-Yu Zhao, Masayoshi Tomizuka and Satoru Isaka, " Fuzzy gain scheduling of pid controllers",
ieee, transactions on systems, vol. 23, pp. 1392- 1398, 1993.
[16] MortezaMontazeri-Gh and Amir Safari, “Tuning of fuzzy fuel controller for aero-engine thrust regulation and safety considerations using genetic algorithm”, elsevier, aerospace science and technology, vol. 15, pp. 183-192, 2011.
[17] S. Balamurugan,N. Janarthanan and K.R.M. Vijaya Chandrakala, " Small and large signal
modeling of heavy duty gas turbine plant for load frequency control", elsevier, electrical power and energy systems, vol. 79, pp. 84-88, 2016.
[18] C. T. Hsu, M. S. Kang and C. S. Chen, “Design of adaptive load shedding by artificial neural networks”, ieee, proceedings ,generation, transmission and distribution , volume 152, pp. 415-421, 2005.
[19] R. Hooshmand and M. Moazzami, “Optimal design of adaptive under frequency load shedding using artificial neural networks in isolated power system”, elsevier, international journal of electrical power and energy systems, vol. 42, pp. 220-228 ,2012.
[20] P.C.Sen, "Principles of electric machines and power electronics", wiley and sons, 1997.
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