Series compensation assessment of self-excited induction generator using genetic algorithm

References

• GWEC. Global wind report, annual market update 2015. Brussels: The Global Wind Energy Council; April 2016.
   Google Scholar
• Basic Mateo, Vukadinovic Dinko. Vector control system of a self-excited induction generator including iron losses and magnetic saturation. Control Eng Pract. 2013;21:395–406.
   Web of Science ®Google Scholar
• Goyal Lalit, Mahela Omprakash. Steady state analysis of self excited induction generators. Int J Elect Electron Eng IJEEE. May 2013;2(2):77–86.
   Google Scholar
• Joshi D, Sandhu KS. Voltage control of compensated self-excited induction generator using genetic algorithm. 2nd WSEAS/IASME International Conference on Renewable Energy Sources (RES’08); 2008 Oct 26–28; Corfu, Greece: WSEAS Press.
   Google Scholar
• Naidu M, Walters J. A 4-kW 42-V induction-machine-based automotive power generation system with a diode bridge rectifier and a PWM inverter. IEEE Trans Ind Applicat. 2003;39(5):1287–1293.10.1109/TIA.2003.816559
   Web of Science ®Google Scholar
• Ahmed T, Noro O, Hiraki E, et al. Terminal voltage regulation characteristics by static var compensator for a three-phase self-excited induction generator. IEEE Trans Ind Applicat. Jul/Aug 2004;40(4):978–988.10.1109/TIA.2004.830783
   Web of Science ®Google Scholar
• Singh B, Murthy SS, Gupta S. Analysis and design of STATCOM-based voltage regulator for self-excited induction generators. IEEE Trans Energy Conver. Dec 2004;19(4):783–790.10.1109/TEC.2004.827710
   Web of Science ®Google Scholar
• Chauhan YK, Jain SK, Singh B. Operating performance of static series compensated three-phase self-excited induction generator. Electr Power Energy Syst. 2013;49:137–148.10.1016/j.ijepes.2012.12.004
   Web of Science ®Google Scholar
• Shridhar L, Singh B, Jha CS, et al. Selection of capacitors for the self regulated short- shunt self-excited induction generator. IEEE Trans Energy Conver. March 1995;10(1):10–17.10.1109/60.372563
   Web of Science ®Google Scholar
• Wang L, Jian-Yi S. Effects of long shunt and short shunt connections on voltage variations a self excited induction generator. IEEE Trans Energy Conver. 1997;12(4):368–374.
   Web of Science ®Google Scholar
• Singh B, Shridhar L, Jha CS. Improvements in the performance of self excited induction generator through series compensation. Proc IEE Gener Transm Distrib. 1999;146(6):602–608.10.1049/ip-gtd:19990493
   Web of Science ®Google Scholar
• Wang L, Lee CH. Long shunt and short shunt connections on dynamic performance of a SEIG feeding an induction motor load. IEEE Trans Energy Conver. 2000;15(1):1–7.10.1109/60.849108
   Web of Science ®Google Scholar
• Singh SP, Jain SK, Sharma J. Voltage regulation optimization of compensated self-excited induction generator with dynamic load. IEEE Trans Energy Conver. Dec 2004;19(4):724–732.
   Web of Science ®Google Scholar
• Haque MH. Comparison of steady state characteristics of shunt, short-shunt and long-shunt induction generators. Elect Power Syst Res. 2009;79:1446–1453.10.1016/j.epsr.2009.04.017
   Web of Science ®Google Scholar
• Singaravelu S, Sasikumar S. Steady state modeling and analysis of three phase Self Induction Generator with series compensation. Int J Adv Eng Technol. May 2012;3(2):371–380.
   Google Scholar
• Murthy SS, Malik OP, Tandon AK. Analysis of self excited induction generators. IEE Proc. Nov 1982;129(6):260–265.
   Google Scholar
• Malik NH, Haque SE. Steady-state analysis and performance of an isolated self-excited induction generator. IEEE Trans Energy Conver. Jul 1986;1(3):134–139.
   Web of Science ®Google Scholar
• Murthy SS, Singh BP, Nagamani C, et al. Studies on the use of conventional induction motors as self-excited induction generators. IEEE Trans EC. 1988;3(4):842–848.
   Google Scholar
• Singh SP, Singh B, Jain MP. Performance characteristics and optimal utilization of a cage machine as capacitor excited induction generator. IEEE Trans EC. 1990;5(4):679–685.
   Google Scholar
• Malik NH, Al-Bahrani AH. Influence of the terminal capacitor on the performance characteristics of a self-excited induction generator. Proc IEE. 1990;137(2):168–173.
   Google Scholar
• Shridhar L, Singh B, Jha CS. A step towards improvements in the characteristics of self-excited induction generator. IEEE Trans Energy Conver. Mar 1993;8(1):40–46.10.1109/60.207404
   Web of Science ®Google Scholar
• Chan TF. Steady-state analysis of self-excited induction generators. IEEE Trans Energy Conver. Jun 1994;9(2):288–296.10.1109/60.300146
   Web of Science ®Google Scholar
• Quazene L, McPherson G. Analysis of the isolated induction generator. IEEE Trans Power Apparat Syst. Aug 1983;102(8):2793–2798.
   Web of Science ®Google Scholar
• Chan TF. Analysis of self-excited induction generators using an iterative method. IEEE Trans Energy Conver. Sept 1995;10(3):502–507.10.1109/60.464874
   Web of Science ®Google Scholar
• Sandhu KS, Jain SK. Operational aspects of self-excited induction generator using a new model. Elect Machines Power Syst. Feb 1999;27(2):169–180.10.1080/073135699269370
   Web of Science ®Google Scholar
• Abdel-Halim IAM, Al-Ahmar MA, El-Sherif MZ. A novel approach for the analysis of self-excited induction generator. Elect Machines Power Syst. Aug 1999;27(8):879–888.10.1080/073135699268902
   Web of Science ®Google Scholar
• Joshi D, Sandhu KS, Soni MK. Performance analysis of self- excited induction generator using artificial neural network. Iranian J Electr Comput Eng. Winter–Spring 2006;5(1):57–62.
   Google Scholar
• Khela RS, Bansal RK, Sandhu KS, et al. Cascaded ANN for evaluation of frequency and air-gap voltage of self-excited induction generator. World Acad Sci Eng Technol. 2007;27:301–307.
   Google Scholar
• Ibrahim HEA, Metwaly MM, Serag MF. Analysis of self excited induction generator (SEIG) using symbolic toolbox and artificial neural network (ANN). Ain shams J Electr Eng ASJEE. Dec 2010;2:17–28.
   Google Scholar
• Mahley S. Steady state analysis of three phase self-excited induction generator [ master thesis]. Patiala: Department of Power Systems and Electric Drives, Thapar University; 2008.
   Google Scholar
• Kumar MS, Kumaresan N, Subbiah M. Performance evaluation of self excited induction generator using fuzzy logic. International Conference on Power Electronics (IICPE); 2011 Jan 28–30; India: Sir Syed University of Engineering and Technology & IEEE-Karachi Section.
   Google Scholar
• Ibrahim HEA, Metwaly MM, Serag MF. Analysis of self excited induction generator using particle swarm optimization. World Acad Sci Eng Technol. 2011;57:236–240.
   Google Scholar
• Enany MA. Steady state modeling and ANFIS based analysis of self-excited induction generator. Wind Eng. 2014;38(3):229–238.
   Google Scholar
• Kheldoun LR, Khodja DE. Analysis of the self-excited induction generator steady state performance using a new efficient algorithm. Electr Power Syst Res. 2012;86:61–67. Available from: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6612844Aissa10.1016/j.epsr.2011.12.003
   Web of Science ®Google Scholar
• Radosavljevic O, Klimenta D, Jevtic M. A genetic algorithm-based approach for a general steady state analysis of three-phase self excited induction generator. Rev Roum Sci Techn Électrotechn et Énerg. 2012;57(1):10–19, Bucarest.
   Google Scholar
• Barrera-Cardenas Rene, Molinas Marta. Optimal LQG controller for variable speed wind turbine based on genetic algorithms. Energy Procedia. 2012;20:207–216.10.1016/j.egypro.2012.03.021
   Google Scholar