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1

Saket, R. K., and Lokesh Varshney. "Self Excited Induction Generator and Municipal Waste Water Based Micro Hydro Power Generation System." International Journal of Engineering and Technology 4, no. 3 (2012): 282–87. http://dx.doi.org/10.7763/ijet.2012.v4.366.

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2

Li, Jia, Xinzhen Wu, Xibo Yuan, and Haifeng Wang. "Load Capacity Analysis of Self-Excited Induction Generators Based on Routh Criterion." Energies 12, no. 20 (October 17, 2019): 3953. http://dx.doi.org/10.3390/en12203953.

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In this paper, the Routh criterion has been used to analyze the stability of a self-excited induction generator-based isolated system which is regarded as an autonomous system. Special focus has been given to the load capacity of the self-excited induction generator. The state matrix of self-excited induction generators with resistor-inductor load has been established based on transient equivalent circuits in the stator stationary reference-frame. The recursive Routh table of self-excited induction generators is established by the characteristic polynomial coefficients of the state matrix. According to the Routh stability criterion, the necessary and sufficient condition to predict the critical loads of self-excited induction generators is deduced, from which the critical load impedance can be calculated. A simple self-excited induction generator-based isolated power system has been built up with a 2.2 kW self-excited induction generator. The theoretical analysis and experiments were all carried out based on this platform. In the range determined by the minimum excitation capacitance (Cmin) and the maximum excitation capacitance (Cmax), the critical loads under various power factors have been calculated. The agreement of the calculated theoretical results and experimental results demonstrate the effectiveness and accuracy of the proposed analysis method. The conclusions achieved lay a foundation for further application of Routh stability criterion in self-excited induction generator-based power systems analysis.
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3

Kannadhasan, S., M. Saravanapandi, and C. Gurunathan. "Simulation and Analysis of Variable Speed Wind Turbine Coupled With Self-Excited Induction Generator." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 1622–25. http://dx.doi.org/10.31142/ijtsrd11387.

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4

Chauhan, Yogesh K., Vinod K. Yadav, and Bhim Singh. "Optimum utilisation of self‐excited induction generator." IET Electric Power Applications 7, no. 9 (November 2013): 680–92. http://dx.doi.org/10.1049/iet-epa.2013.0038.

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5

Singh, G. K. "Self-excited induction generator research—a survey." Electric Power Systems Research 69, no. 2-3 (May 2004): 107–14. http://dx.doi.org/10.1016/j.epsr.2003.08.004.

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6

Tripathy, S. C., M. Kalantar, and N. D. Rao. "Wind turbine driven self-excited induction generator." Energy Conversion and Management 34, no. 8 (August 1993): 641–48. http://dx.doi.org/10.1016/0196-8904(93)90098-u.

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7

Shridhar, L., B. Singh, C. S. Jha, and B. P. Singh. "Analysis of self excited induction generator feeding induction motor." IEEE Transactions on Energy Conversion 9, no. 2 (June 1994): 390–96. http://dx.doi.org/10.1109/60.300132.

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8

Zuščak, Jozef, Vladimír Kujan, and František Janíček. "Simulations and measurements on a self-excited induction generator." Journal of Electrical Engineering 69, no. 5 (September 1, 2018): 359–65. http://dx.doi.org/10.2478/jee-2018-0052.

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Abstract Paper deals with the use of an induction machine in the role of a generator. Such an operational mode is called a self-excited induction generator SEIG. It does not require an external power source to create the excitation field, as is the case with traditional synchronous generators. Therefore, it is widely used in power plants with renewable energy as a primary source (wind, water, etc). However, in terms of possible regulation and control of the electrical properties, the excitation process is extremely important. A mathematical model and simulation in Matlab are introduced. The excitation process was experimentally investigated in the laboratory of electric drives and the results are correlated with the expectations.
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9

Chan, T. F. "Analysis of Self-Excited Induction Generators Using Symbolic Programming." International Journal of Electrical Engineering & Education 29, no. 4 (October 1992): 329–38. http://dx.doi.org/10.1177/002072099202900409.

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Analysis of self-excited induction generators using symbolic programming Using the symbolic programming language MACSYMA, the self-excited induction generator may be analysed in a straightforward manner with a high degree of accuracy. Very little manual effort need be spent on algebraic manipulation, numerical analysis and computer programming. Typical program sessions are cited to illustrate the elegance of this approach.
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10

Santoso, Hari, Rini Nur Hasanah, I. N. G. Wardana, and Budiono Mismail. "Loading Performances of Low-Power Low-Speed Single-Phase Induction Generator with Energy Saving Lamps." Applied Mechanics and Materials 785 (August 2015): 290–94. http://dx.doi.org/10.4028/www.scientific.net/amm.785.290.

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The increasing use of energy saving lamps provides additional benefits to the application of low-power low-speed self-excited induction generators resulted from capacitor motor modification. Reactive power requirement of the generator can be provided from the capacitive nature of the lamps, while at the same time it is delivering active power to loads. Any loading change will automatically increase or reduce reactive power supply to generator. Results of experiments show that low-power low-speed single-phase self-excited induction generator is more robust and suitable for this kind of loads. Generator does not lose its voltage when experiencing abrupt change of loads. This robustness makes the generator suitable for the use in low-capacity hydropower generation in remote areas being commonly not covered by national electricity grid.
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11

Watson, D. B. "Circuit Model and Self-Excitation of the Induction Generator." International Journal of Electrical Engineering & Education 25, no. 2 (April 1988): 163–70. http://dx.doi.org/10.1177/002072098802500219.

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The conventional circuit model of an induction motor is modified to include a rotational e.m.f. This helps to explain induction generator action. The required amount of residual e.m.f. to initiate self-excited induction generation is calculated.
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12

Makowski, Krzysztof, and Aleksander Leicht. "Performance Characteristics of Single-Phase Self-Excited Induction Generators with an Iron Core of Various Non-Grain Oriented Electrical Sheets." Energies 13, no. 12 (June 18, 2020): 3166. http://dx.doi.org/10.3390/en13123166.

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This paper deals with the computation of the performance characteristics of the single-phase self-excited induction generator by field–circuit method. It presents and compares previously unpublished results—self-excitation and no-load characteristics of the generator for different rotor speeds, and complete load steady-state performance characteristics for various types of the core materials. The discrepancies between the performance characteristics of the generator for the catalog’s magnetization curves of different types of electrical sheets and for an actual magnetic core of the generator for self-excitation transients and load steady-state are presented. The results may be useful for designing new constructions of single-phase self-excited induction generators.
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13

Ohtsubo, Akira, Ken'ichi Tsuruta, and Fukuo Shibata. "Static scherbius type self-excited induction generator system." IEEJ Transactions on Power and Energy 105, no. 8 (1985): 684–90. http://dx.doi.org/10.1541/ieejpes1972.105.684.

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14

Watso, D. B., and R. M. Watson. "Microprocessor Control of a Self-Excited Induction Generator." International Journal of Electrical Engineering & Education 22, no. 1 (January 1985): 69–82. http://dx.doi.org/10.1177/002072098502200120.

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15

Anagreh, Yaser N., and Imadden M. Al-Refae'e. "Teaching the Self-Excited Induction Generator Using Matlab." International Journal of Electrical Engineering & Education 40, no. 1 (January 2003): 55–65. http://dx.doi.org/10.7227/ijeee.40.1.6.

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This paper presents an attractive approach for teaching the self-excited induction generator. Three operating conditions of the generator are mathematically modeled and then simulated using conventional Matlab commands. Active windows with these models are created using Matlab's Graphical User Interface capability. An example is given to demonstrate the usefulness of the developed tool.
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16

Chen, Wei Min, De Zhi Qi, Nan Xie, and Hui Cai. "Researched on the Characteristics of Self-Excited Induction Generator." Advanced Materials Research 860-863 (December 2013): 2252–55. http://dx.doi.org/10.4028/www.scientific.net/amr.860-863.2252.

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Micro-hydro as a new energy technology, has good prospects for development.On some occasions which dont control, the generator usually choose self-excited induction generator.The paper presents a method which the asynchronous motor can instead of the induction generator, and calculate compensation capacitance of the self-excited induction generator. Finally,this paper verified by experiments, which the changes of the output voltage and frequency and the changes of harmonic by changing the resistive load, when the asynchronous generator open-loop runs. The results show that,this method has feasibility and validity.
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17

Leicht, Aleksander, and Krzysztof Makowski. "A single-phase induction motor operating as a self-excited induction generator." Archives of Electrical Engineering 62, no. 3 (September 1, 2013): 361–73. http://dx.doi.org/10.2478/aee-2013-0029.

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Abstract The purpose of the paper is the investigation of possibility of utilization of a single-phase induction machine, designed and normally operating as a single-phase capacitor induction motor, as a self-excited single-phase induction generator, which can be used to generate electrical energy from non-conventional energy sources. The paper presents dq model of the self-excited single-phase induction generator for dynamic characteristics simulation and steady-state model based on double revolving field theory with two phase symmetrical components - a forward and backward revolving field for performance of the generator under resistive load. Excitation and load characteristics obtained by simulation showed considerable influence of method of capacitor configuration in the load stator winding on terminal voltage, current and output power of the generator under load. An specific construction of the stator windings together with capacitor requirements to obtain nominal output power at desired self-regulating terminal voltage over the operating range will be the aim of further research.
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18

Makowski, Krzysztof, and Aleksander Leicht. "Field-circuit analysis and measurements of a single-phase self-excited induction generator." Open Physics 15, no. 1 (December 29, 2017): 913–17. http://dx.doi.org/10.1515/phys-2017-0110.

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Abstract The paper deals with a single-phase induction machine operating as a stand-alone self-excited single-phase induction generator for generation of electrical energy from renewable energy sources. By changing number of turns and size of wires in the auxiliary stator winding, an improvement of performance characteristics of the generator were obtained as regards no-load and load voltage of the stator windings as well as stator winding currents of the generator. Field-circuit simulation models of the generator were developed using Flux2D software package for the generator with shunt capacitor in the main stator winding. The obtained results have been validated experimentally at the laboratory setup using the single-phase capacitor induction motor of 1.1 kW rated power and 230 V voltage as a base model of the generator.
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19

CHAN, T. F. "ANALYSIS OF A SINGLE-PHASE SELF-EXCITED INDUCTION GENERATOR." Electric Machines & Power Systems 23, no. 2 (March 1995): 149–62. http://dx.doi.org/10.1080/07313569508955614.

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20

Faiz, J., A. A. Dadgari, S. Horning, and A. Keyhani. "Design of a three-phase self-excited induction generator." IEEE Transactions on Energy Conversion 10, no. 3 (1995): 516–23. http://dx.doi.org/10.1109/60.464876.

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21

Suarez, E., and G. Bortolotto. "Voltage-frequency control of a self-excited induction generator." IEEE Transactions on Energy Conversion 14, no. 3 (1999): 394–401. http://dx.doi.org/10.1109/60.790888.

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22

Fukami, Tadashi, Yuichi Kaburaki, and Toshio Miyamoto. "Analysis of the Self-Regulated Self-Excited Single-Phase Induction Generator." IEEJ Transactions on Industry Applications 117, no. 1 (1997): 66–72. http://dx.doi.org/10.1541/ieejias.117.66.

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23

Devabhaktuni, Swati, and S. V. Jayaram Kumar. "Different Self Excitation Techniques for Slip Ring Self Excited Induction Generator." International Journal of Computer Applications 38, no. 2 (January 28, 2012): 19–26. http://dx.doi.org/10.5120/4580-6756.

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24

Mohanty, Alok Kumar, and K. B. Yadav. "Estimation of excitation capacitance requirement of an isolated multi-phase induction generator for power generation." International Journal of Power Electronics and Drive Systems (IJPEDS) 7, no. 2 (June 1, 2016): 561. http://dx.doi.org/10.11591/ijpeds.v7.i2.pp561-567.

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<table width="593" border="1" cellspacing="0" cellpadding="0"><tbody><tr><td valign="top" width="387"><p> </p><p>Self Excited induction generators are used in remote places for electrical power generation from both conventional as well as non-conventional sources. An Induction generator can operate as a capacitor excited machine provided the machine is driven beyond synchronous speed and a suitable capacitor is connected across its terminals. In this paper a technique has been proposed to estimate the values of excitation capacitances to maintain desired terminal voltages in a multi-phase induction generator. A mathematical model using nodal admittance technique of a six-phase induction generator has been analyzed. Genetic algorithm technique is applied here to obtain the unknown parameters and the capacitance requirements to obtain desired terminal voltages under various operating conditions.</p></td></tr></tbody></table>
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25

Nesba, Ali, Rachid Ibtiouen, and Omar Touhami. "Dynamic performances of self-excited induction generator feeding different static loads." Serbian Journal of Electrical Engineering 3, no. 1 (2006): 63–76. http://dx.doi.org/10.2298/sjee0601063n.

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The paper examines the dynamic performances of a three-phase self excited induction generator (SEIG) during sudden connection of static loads. A dynamic flux model of the SEIG in the ?-? axis stationary reference frame is presented. The main flux saturation effect in the SEIG is accounted for by using an accurate technique. The cases of purely resistive, inductive and capacitive load are amply discussed. Models for all of these three-phase load in the ?-? axis stationary reference frame are also given. The analysis presented is validated experimentally.
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26

A.M. Abdel, Ibrahim, Hamed G. Hamed, and Ahmed M. Hassan. "Modeling and Simulation of a Self-Excited Induction Generator/Inductive Load System." International Journal of Electrical and Power Engineering 5, no. 2 (February 1, 2011): 92–101. http://dx.doi.org/10.3923/ijepe.2011.92.101.

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27

Leicht, Aleksander, and Krzysztof Makowski. "Influence of shape and material of rotor bars on performance characteristics of single-phase self-excited induction generators." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 38, no. 4 (July 1, 2019): 1235–44. http://dx.doi.org/10.1108/compel-10-2018-0430.

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Purpose The purpose of the paper is to present an analysis of an influence of shape and material of rotor bars on the process of self-excitation and performance characteristics of single-phase, self-excited induction generator (SP-SEIG). Design/methodology/approach The presented analysis is based on the results of transient simulations of SP-SEIG performed with the use of field-circuit model of the machine. Four various shapes of the rotor bars and two different conductor materials were investigated. The results for the base model with rounded trapezoidal rotor slots were validated by measurements. Findings An improvement of the performance characteristics – the extension of the stable operating range of the generator – was obtained for rectangular copper rotor bars. The improvement is the result of strong skin effect in the squirrel rotor cage. Application of round rotor slots results in shorter time of voltage build-up during the self-excitation of the generator caused by less apparent deep bar effect in round bars. Originality/value The originality of the paper is the application of the copper rotor cage in the single-phase, self-excited induction generator. Its use is beneficial, as it allows for extension of the range of stable operating range. The results may be used for designing new constructions of the single-phase, self-excited induction generators, as well as the constructions based on general purpose single-phase induction motors.
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28

Oriahi, M. A., and J. O. Egwaile. "Power generation and control of a self excited squirrel cage induction generator." Nigerian Journal of Technology 36, no. 4 (January 15, 2018): 1168. http://dx.doi.org/10.4314/njt.v36i4.25.

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29

Imadouchene, Malika. "Transient Analysis of the Self Excited Induction Generator Subjected to Grid Disturbances." TELKOMNIKA Indonesian Journal of Electrical Engineering 16, no. 2 (November 1, 2015): 199. http://dx.doi.org/10.11591/tijee.v16i2.1604.

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The present paper analyzes the consequences of short grid voltages interruptions on grid-connected self-induction generator, particularly, on the currents and electromagnetic torque of the generator. These effects depend on several variables such as the phase difference between the grid voltages and those of the generator, the magnitude of the grid voltage and the generator currents at the instant of reconnection to the grid. The approach has been used for studying the effects of these grid disturbances on the self-excited induction generator; is a numerical approach. In the numerical approach, which is based on the dynamic d-q model of the induction generator, the effect of magnetic saturation is accurately accounted for. This numerical model has been validated by experimental measurements taken from an induction generator test bench. The analysis focuses on the amplitudes of the peaks of the currents and torque during short interruptions especially at the reconnection of the grid voltage. The results obtained from the numerical model are compared to the measured ones.
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30

Shridhar, L., B. Singh, and C. S. Jha. "Transient performance of the self regulated short shunt self excited induction generator." IEEE Transactions on Energy Conversion 10, no. 2 (June 1995): 261–67. http://dx.doi.org/10.1109/60.391891.

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31

Ezzeddine, Touti. "Reactive power analysis and frequency control of autonomous wind induction generator using particle swarm optimization and fuzzy logic." Energy Exploration & Exploitation 38, no. 3 (November 19, 2019): 755–82. http://dx.doi.org/10.1177/0144598719886373.

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Wind generation system is becoming increasingly important as renewable energy sources due to its advantages such as low maintenance requirement and mainly it does not cause environmental contamination. This paper presents the improvement procedure of the transient state and the regulation of the output frequency by adjusting the terminal capacitor. The aim is to provide frequency control of a self-excited induction generator in remote site using different strategies which are based on the adjustment of the reactive power at the outputs of a three-phase self-excited induction generator. A thyristor controlled reactor and a switched resistive load will be used to control reactive power. The proposed particle swarm optimization algorithm technique, location of the thyristor controlled reactor device, and parameter value are optimized simultaneously. The results obtained by this strategy will be compared with those provided by the use of Fuzzy Logic Controller. This study will be conducted through the analysis of the frequency in the steady state and transient case using a developed induction generator numerical model built using MATLAB/Simulink. Simulation and experimental results will be exposed and analyzed considering a resistive inductive load on a laboratory test bench.
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32

M.I.Mosaad, Author. "Control of Self Excited Induction Generator using ANN based SVC." International Journal of Computer Applications 23, no. 5 (June 30, 2011): 11–25. http://dx.doi.org/10.5120/2883-3755.

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33

Premalatha, K., and S. Vasantharathna. "Dynamic Analysis of Wind Turbine Driven Self-excited Induction Generator." Research Journal of Applied Sciences, Engineering and Technology 11, no. 8 (November 15, 2015): 832–40. http://dx.doi.org/10.19026/rjaset.11.2092.

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34

Singh, B., and L. B. Shilpkar. "Steady-state analysis of single-phase self-excited induction generator." IEE Proceedings - Generation, Transmission and Distribution 146, no. 5 (1999): 421. http://dx.doi.org/10.1049/ip-gtd:19990607.

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35

Soliman, Hussein, A. Attia, S. Mokhymar, and M. Badr. "Fuzzy Algorithm for Supervisory Control of Self-Excited Induction Generator." Journal of King Abdulaziz University-Engineering Sciences 17, no. 2 (2006): 19–40. http://dx.doi.org/10.4197/eng.17-2.2.

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36

Saha, Swarup Kumar, and Kanwarjit Singh Sandhu. "Optimization Techniques for the Analysis of Self-excited Induction Generator." Procedia Computer Science 125 (2018): 405–11. http://dx.doi.org/10.1016/j.procs.2017.12.053.

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37

Ahshan, R., and M. T. Iqbal. "Voltage Controller of a Single Phase Self-Excited Induction Generator." Open Renewable Energy Journal 2, no. 1 (May 28, 2009): 84–90. http://dx.doi.org/10.2174/1876387100902010084.

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38

Singh, L. Shridhar, C. S. Jha, Bhim. "Transient Analysis of Self-Excited Induction Generator Supplying Dynamic Load." Electric Machines & Power Systems 27, no. 9 (August 1999): 941–54. http://dx.doi.org/10.1080/073135699268795.

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39

Mostafa, A. S., A. L. Mohamadein, and E. M. Rashad. "Analysis of series-connected wound-rotor self-excited induction generator." IEE Proceedings B Electric Power Applications 140, no. 5 (1993): 329. http://dx.doi.org/10.1049/ip-b.1993.0041.

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40

Steyn, J. L., S. H. Kendig, R. Khanna, S. D. Umans, J. H. Lang, and C. Livermore. "A Self-Excited MEMS Electro-Quasi-Static Induction Turbine Generator." Journal of Microelectromechanical Systems 18, no. 2 (April 2009): 424–32. http://dx.doi.org/10.1109/jmems.2008.2011692.

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41

Ramirez, Juan M., and Emmanuel Torres M. "An Electronic Load Controller for the Self-Excited Induction Generator." IEEE Transactions on Energy Conversion 22, no. 2 (June 2007): 546–48. http://dx.doi.org/10.1109/tec.2007.895392.

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42

Ibrahim, Hassan, and Mostafa Metwaly. "Genetic Algorithm Based Performance Analysis of Self Excited Induction Generator." Engineering 03, no. 08 (2011): 859–64. http://dx.doi.org/10.4236/eng.2011.38105.

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43

Wu, J. C. "AC/DC power conversion interface for self-excited induction generator." IET Renewable Power Generation 3, no. 2 (2009): 144. http://dx.doi.org/10.1049/iet-rpg:20070100.

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44

Anagreh, Y. N., and I. S. Al-Kofahi. "Genetic Algorithm-Based Performance Analysis of Self-Excited Induction Generator." International Journal of Modelling and Simulation 26, no. 2 (January 2006): 175–79. http://dx.doi.org/10.1080/02286203.2006.11442366.

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45

Bonert, R., and S. Rajakaruna. "Self-excited induction generator with excellent voltage and frequency control." IEE Proceedings - Generation, Transmission and Distribution 145, no. 1 (1998): 33. http://dx.doi.org/10.1049/ip-gtd:19981680.

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46

Palwalia, D. K., and S. P. Singh. "New Load Controller for Single-phase Self-excited Induction Generator." Electric Power Components and Systems 37, no. 6 (May 29, 2009): 658–71. http://dx.doi.org/10.1080/15325000802705620.

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47

Singh, Bhim, S. P. Singh, and M. P. Jain. "Design optimization of a capacitor self-excited cage induction generator." Electric Power Systems Research 22, no. 1 (September 1991): 71–76. http://dx.doi.org/10.1016/0378-7796(91)90081-w.

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48

Mishra, R. K., Bhim Singh, and M. K. Vasantha. "Voltage regulator for an isolated self-excited cage induction generator." Electric Power Systems Research 24, no. 2 (August 1992): 75–83. http://dx.doi.org/10.1016/0378-7796(92)90073-a.

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49

Mourad, Selmi, and Rehaoulia Habib. "Steady State Analysis Operation of Self-Excited Wound Rotor Induction Generator Under Constant Frequency and Tolerated Output Voltage." Journal of Circuits, Systems and Computers 25, no. 06 (March 31, 2016): 1650060. http://dx.doi.org/10.1142/s0218126616500602.

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Self-excited induction generators (SEIG) are found to be most suitable candidate for wind energy conversion application required at remote windy locations. The major drawbacks of these generators are the poor voltage and frequency control under load and prime mover speed perturbations. In this paper, an attempt has been made to optimize the control strategy under various load and prime mover conditions, of the self-excited wound rotor induction generator (SEWRIG). By tolerating a slight deviation of the output voltage and ensuring a constant frequency with an adequate external rotor resistance, only four values of excitation capacitor are required for the whole range of operation. The effectiveness of the adopted strategy has been confirmed by comparing on a 0.8-[Formula: see text]kW wound rotor induction generator the simulated results to the corresponding obtained with an experimental test. A close agreement between the computed and experimental results confirms the efficiency of the adopted method.
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50

DALEI, Jyotirmayee, and Kanungo Barada MOHANTY. "Performance improvement of three-phase self-excited induction generator feeding induction motor load." TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 23 (2015): 1660–72. http://dx.doi.org/10.3906/elk-1404-191.

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