Identification of the best topology of delta configured three phase induction generator for distributed generation through experimental investigations
Abstract
Research on Self –excited induction generator (SEIG) brings a lot of attentions in the last three decades as a promising solution in distributed generation systems with low cost investment. There are two important fixations to attend in the operation of SEIG based systems, a) excitation and b) voltage regulation. Many procedures are reported regarding selection of excitation capacitance in the literature, based on state-state analysis, dynamic modeling, empirical formulas and machine parameters which involve various levels of complexity in findings. Moreover, the voltage regulation is the main challenge in implementation of SEIG based isolated systems. To address this problem, many power electronic-based schemes are proposed in the literature and but these solutions have few demerits importantly that additional cost of equipment and troubles due to failure of protection schemes. In particular, the installation of SEIG takes place at small scale in kW range in remote/rural communities which should not face such shortcomings. Further in case of off-grid systems, the maximum loading is fixed based on connected rating of the generator. This paper presents the various methods to find excitation capacitance and illustrates an experimental investigation on different possible reactive power compensation methods of delta connected SEIG and aimed to identify a simple method for terminal voltage control without power electronics. In this experimental work, the prime-mover of the generator is a constant speed turbine, which is the emulation of a micro/pico hydro turbine. From the results, it is found that a simple delta connected excitation and delta configured reactive power compensation limits voltage regulation within ±6% while maintaining the frequency of ±1%, which make feasible of the operation successfully in remote electrification systems.
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: None declared.
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
Appendix A: Equivalent circuit parameters of the machine selected for investigation.
Sl. No | Name of the parameter | Value of the parameter |
---|---|---|
1 | Stator resistance (Rs) | 7.2 Ω/ph |
2 | Rotor resistance (Rr) | 11.49 Ω/ph |
3 | Stator leakage reactance (xls) | 11.08 Ω/ph |
4 | Rotor leakage reactance (xlr) | 11.08 Ω/ph |
5 | Stator leakage inductance (L ls ) | 35.26 mH |
6 | Rotor leakage inductance (L lr ) | 35.26 mH |
7 | Maximum saturation reactance (x s max ) | 91.04 Ω |
References
1. Puneet, KG, Singh, B, Murthy, SS, Kishore, N. Isolated wind–hydro hybrid system using cage generators and battery storage. IEEE Trans Ind Electron 2011;58:1141–53.10.1109/TIE.2009.2037646Suche in Google Scholar
2. Basset, ED, Potter, FM. Capacitive excitation for induction generator. AIEE Trans Electr Eng 1935;54:540–5. https://doi.org/10.1109/ee.1935.6540048.Suche in Google Scholar
3. Murthy, SS, Malik, OP, Tandon, AK. Analysis of self-excited induction generators. IEE Proc C 1982;129:260–5. https://doi.org/10.1049/ip-c.1982.0041.Suche in Google Scholar
4. Tandon, AK, Murthy, SS, Berg, GK. Steady state analysis of capacitor self-excited induction generators. IEEE Trans Power Apparatus Syst 1984;103:612–8. https://doi.org/10.1109/tpas.1984.318748.Suche in Google Scholar
5. Krishna, VBM, Jithendranath, J, Babu, ASH, Rao, CUM. An isolated wind hydro hybrid system with two back-to-back power converters and a battery energy storage system using neural network compensator. International Conf. on Circuits, Power and Computing Technologies 2014;273–9. https://doi.org/10.1109/iccpct.2014.7054829.Suche in Google Scholar
6. [Online]. Available from: http://mnre.gov.in [Accessed 30 Sept 2020].Suche in Google Scholar
7. Murthy, SS, Hegde, S. Hydroelectricity. ch. 5, electric renewable energy systems. London: Academic Press; 2016:78–91 pp.10.1016/B978-0-12-804448-3.00005-0Suche in Google Scholar
8. Zhou, D, Deng (Daniel), Z. Ultra-low-head hydroelectric technology: a review. Renew Sustain Energy Rev 2017;78:23–30. https://doi.org/10.1016/j.rser.2017.04.086.Suche in Google Scholar
9. Murthy, SS, Singh, BP, Nagamani, C, Satyanarayana, KVV. Studies on the use of conventional induction motors as self- excited induction generators. IEEE Trans Energy Convers 1988;3:842–8. https://doi.org/10.1109/60.9360.Suche in Google Scholar
10. Murthy, SS. Experiences with the analysis, design and control of induction generators operating in autonomous or grid connected mode. Proc. Conf. Evolution Modern Aspects Induction Machines Turin, Italy; 1986:400–7 pp.Suche in Google Scholar
11. Singh, B. Induction generator – a prospective. Elec Mach Power Syst 1995;23:163–77. https://doi.org/10.1080/07313569508955615.Suche in Google Scholar
12. Bansal, RC, Bhatti, TS, Kothari, DP. Bibliography on the application of induction generators in nonconventional energy systems. IEEE Trans Energy Convers 2003;18:433–9. https://doi.org/10.1109/tec.2003.815856.Suche in Google Scholar
13. Singh, GK. Self-excited induction generator for renewable applications. Encycl Sustain Technol 2017;4:239–56. https://doi.org/10.1016/b978-0-12-409548-9.10132-0.Suche in Google Scholar
14. Dzhendubaev, A-R, Chernykh, IV. Self-excitation of autonomous generators: 1. Theoretical aspects. Russ Electr Eng 2017;88:767–71. https://doi.org/10.3103/s1068371217110037.Suche in Google Scholar
15. Murthy, SS, Singh, B, Sandeep, V. Design-based computational procedure for performance prediction and analysis of single-phase self-excited induction generator. IET Electr Power Appl 2013;7:477–86. https://doi.org/10.1049/iet-epa.2011.0360.Suche in Google Scholar
16. Murthy, SS, Singh, B, Sandeep, V. Experience in developing a single-phase two winding 5 kW self-excited induction generator for off-grid renewable energy based power generation. J Inst Eng (India): B 2016;97:127–37. https://doi.org/10.1007/s40031-014-0111-2.Suche in Google Scholar
17. Venkatesa Perumal, B, Chatterjee, JK. Analysis of a self excited induction generator with STATCOM/battery energy storage system. In: IEEE power India conference; 2006:1–6 pp.10.1109/POWERI.2006.1632596Suche in Google Scholar
18. Levy, E, Liao, YW. An experimental investigation of self-excitation in capacitor excited induction generators. Elec Power Syst Res 2000;53:59–65.10.1016/S0378-7796(99)00044-9Suche in Google Scholar
19. Shridhar, L, Singh, B, Jha, CS. Transient performance of the self-regulated short-shunt self-excited induction generator. IEEE Trans Energy Convers 1995;10:261–7. https://doi.org/10.1109/60.391891.Suche in Google Scholar
20. Bim, E, Szajner, J, Burian, Y. Voltage compensation of an induction generator with long shunt connections. IEEE Trans Energy Convers 1989;4:526–30. https://doi.org/10.1109/60.43258.Suche in Google Scholar
21. Bonert, R, Rajakaruna, S. Self-excited induction generator with excellent voltage and frequency control. IEE – Gener Transm Distrib 1998;145:33–9. https://doi.org/10.1049/ip-gtd:19981680.10.1049/ip-gtd:19981680Suche in Google Scholar
22. Singh, B, Shridhar, L, Jha, CS. Transient analysis of self-excited induction generator supplying dynamic load. Elec Mach Power Syst 1999;27:941–54. https://doi.org/10.1080/073135699268795.Suche in Google Scholar
23. Jain, SK, Sharma, JD, Singh, SP. Transient performance of three-phase self-excited induction generator during balanced and unbalanced faults. IEE Proc Generat Transm Distrib 2002;149:50–7. https://doi.org/10.1049/ip-gtd:20020007.10.1049/ip-gtd:20020007Suche in Google Scholar
24. Al-Bahrani, AH, Malik, NH. Steady state analysis and performance characteristics of a three phase induction generator self-excited with a single capacitor. IEEE Trans Energy Convers 1990;5:725–32. https://doi.org/10.1109/60.63146.Suche in Google Scholar
25. Shridhar, L, Singh, B, Jha, CS, Singh, BP. Analysis of self-excited induction generator feeding induction motor. IEEE Trans Energy Convers 1994;9:390–6. https://doi.org/10.1109/60.300132.Suche in Google Scholar
26. Wang, L, Su, J-Y. Dynamic performances of an isolated self-excited induction generator under various loading conditions. IEEE Trans Energy Convers 1999;14:93–100. https://doi.org/10.1109/60.749153.Suche in Google Scholar
27. Singh, B, Murthy, SS, Gupta, S. Transient analysis of self-excited induction generator with electronic load controller (ELC) supplying static and dynamic loads. IEEE Trans Ind Appl 2005;41:1194–204. https://doi.org/10.1109/tia.2005.855047.Suche in Google Scholar
28. Raja Singh, R, Anil Kumar, B, Shruthi, D, Thanga Raj, C. Review and experimental illustration of electronic load controller used in standalone micro-hydro generating plants. Eng Sci Technol Int J 2018;21:886–900. https://doi.org/10.1016/j.jestch.2018.07.006.Suche in Google Scholar
29. Murali Krishna, B, Sandeep, VV, Rani, R. Design and simulation of voltage sensor-based electronic load balance controller for SEIG based isolated load applications. J Adv Res Dyn Control Syst 2020;12:345–52.10.5373/JARDCS/V12I3/20201200Suche in Google Scholar
30. Bjornstedt, J, Sulla, F, Samuelsson, O. Experimental investigation on steady-state and transient performance of a self-excited induction generator. IET Gener, Transm Distrib 2011;5:1233–9.10.1049/iet-gtd.2010.0776Suche in Google Scholar
31. Haque, MH. Comparison of steady state characteristics of shunt, short-shuntand long-shunt induction generators. Elec Power Syst Res 2009;79:1446–53. https://doi.org/10.1016/j.epsr.2009.04.017.Suche in Google Scholar
32. Dzhendubaev, A-ZR. Analysis of stability of terminal voltage of the self-excited induction generator with leading load. Elec Power Compon Syst 2006;34:217–31. https://doi.org/10.1080/15325000500244716.Suche in Google Scholar
33. Rajasekharareddy, C, Al Sayari, N, El Aroudi, A. Coordinated control of parallel operated renewable-energy-based DG systems. IET Renew Power Gener 2018;12:1623–32.10.1049/iet-rpg.2018.5287Suche in Google Scholar
34. Fukami, T, Kaburaki, Y, Kawahara, S, Miyamoto, T. Performance analysis of a self-regulated self-excited single-phase induction generator using a three-phase machine. IEEE Trans Energy Convers 1999;14:622–7. https://doi.org/10.1109/60.790925.Suche in Google Scholar
35. Murthy, S, Singh, B, Sandeep, V. A novel and comprehensive performance analysis of a single-phase two-winding self-excited induction generator. IEEE Trans Energy Convers 2012;27:117–27. https://doi.org/10.1109/tec.2011.2170072.Suche in Google Scholar
36. Murali Krishna, BV, Sandeep, V. Experimental study on different modes of self excited induction generator operation. 2020 2nd PhD colloquium on ethically driven innovation and technology for society (PhD EDITS). Bangalore, India; 2020:1–2 pp.10.1109/PhDEDITS51180.2020.9315310Suche in Google Scholar
37. Murali Krishna, BV, Sandeep, V. Design and simulation of current sensor based electronic load controller for small scale three phase self excited induction generator system. Int J Renew Energy Res 2020;10:1638–44.Suche in Google Scholar
38. Malik, NH, Mazi, AA. Capacitance requirements for isolated self-excited induction generators. IEEE Trans Energy Convers 1987;2:62–9. https://doi.org/10.1109/tec.1987.4765805.Suche in Google Scholar
39. Subramanian, K, Kumar, RK. Loading effect of a series resonance circuit on asynchronous generator in an isolated power generation. International Conference on Advances in Computing, Control, and Telecommunication Technologies, Trivandrum, Kerala; 2009:156–8 pp.10.1109/ACT.2009.47Suche in Google Scholar
40. Padalko, DA, Garganeev, AG, Tyuteva, PV. Resonance phenomena analysis in induction generators. In: 17th international conference of young specialists on micro/nanotechnologies and electron devices (EDM) 2016. Erlagol, Russia; 2016:532–5 pp.10.1109/EDM.2016.7538793Suche in Google Scholar
41. Bizzarri, F, Brambilla, A, Milano, F. Simplified model to study the induction generator effect of the subsynchronous resonance phenomenon. IEEE Trans Energy Convers 2018;33:889–92. https://doi.org/10.1109/tec.2018.2799479.Suche in Google Scholar
42. Hallenius, KE, Vas, P, Brown, JE. The analysis of a saturated self-excited asynchronous generator. IEEE Trans Energy Convers 1991;6:336–45. https://doi.org/10.1109/60.79641.Suche in Google Scholar
43. Chan, TF. Steady-state analysis of self-excited induction generators. IEEE Trans Energy Convers 1994;9:288–96. https://doi.org/10.1109/60.300146.Suche in Google Scholar
44. Wang, L, Lee, CH. A novel analysis on the performance of an isolated self-excited induction generator. IEEE Trans Energy Convers 1997;12:109–14. https://doi.org/10.1109/60.629692.Suche in Google Scholar
45. Krishnan, A, Anusha, K, Natarajan, K, Senthil Kumar, S. Simplified methods for the analysis of self-excited induction generators. IET Electr Power Appl 2017;11:1–9.10.1049/iet-epa.2017.0282Suche in Google Scholar
46. Gupta, A, Jain, AK. Steady-state analysis of self-excited induction generator to enhance reliability in isolated mode. In: Gupta, V, Varde, P, Kankar, P, Joshi, N, editors. Reliability and risk assessment in engineering. Lecture notes in mechanical engineering. Singapore: Springer; 2020.10.1007/978-981-15-3746-2_48Suche in Google Scholar
47. Rajasekharareddy, C, Singh, B, Murthy, SS. Performance of a self-excited induction generator with DSTATCOM-DTC drive based voltage and frequency controller. IEEE Trans Energy Convers 2014;29:545–57.10.1109/TEC.2014.2321184Suche in Google Scholar
48. Haque, MH, Maswood Ali, I. Determination of excitation capacitance of a three-phase self-excited induction generator. In: IEEE PES general meeting San Diego; 2012:1–6 pp.10.1109/PESGM.2012.6345193Suche in Google Scholar
49. Saha, SK, Sandhu, KS. Optimization techniques for the analysis of self-excited induction generator. Procedia Comput Sci 2018;125:405–11. https://doi.org/10.1016/j.procs.2017.12.053.Suche in Google Scholar
50. Garg, A, Sandhu, KS, Saini, LM. Design and implementation of fuzzy logic controller for static switching control of voltage generated in self-excited induction generator. Energy Syst 2016;7:411–27. https://doi.org/10.1007/s12667-015-0169-1.Suche in Google Scholar
51. Scherer, LG, Tischer, CB, Posser, FC, Franchi, CM, de Camargo, RF. New hybrid topology of voltage regulation applied in three-phase four-wire system based on induction generator. Brazilian Power Electronics Conference Gramado; 2013:672–7 pp.10.1109/COBEP.2013.6785187Suche in Google Scholar
52. Zidani, Y, Zouggar, S, Elbacha, A. Steady-state analysis and voltage control of the self-excited induction generator using artificial neural network and an active filter. Iran J Sci Technol – Trans Electr Eng 2018;42:41–8. https://doi.org/10.1007/s40998-017-0046-0.Suche in Google Scholar
53. Silva, FB, da Silva Gonçalves, FA, Vanço, WE, de Carvalho, DP, Bissochi, CA Jr, Monteiro, RVA, et al.. Application of bidirectional switches in the development of a voltage regulator for self-excited induction generators. Int J Electr Power Energy Syst 2018;98:419–29. https://doi.org/10.1016/j.ijepes.2017.12.025.Suche in Google Scholar
54. Barakin, NS, Gar'kavyy, KA, Kumeyko, AA. Calculation of parameters asynchronous generator with stator winding connected in the star-delta. In: International multi-conference on industrial engineering and modern technologies 2019. Vladivostok, Russia; 2019:1–5 pp.10.1109/FarEastCon.2019.8933984Suche in Google Scholar
55. Ermis, M, Cakir, Z, Cadirci, I, Zenginobuz, G, Tezcan, H. Self-excitation of induction motors compensated by permanently connected capacitors and recommendations for IEEE std 141-1993. IEEE Trans Ind Appl 2003;39:313–24. https://doi.org/10.1109/tia.2003.808978.Suche in Google Scholar
56. Sharma, A, Kaur, G. Assessment of capacitance for self-excited induction generator in sustaining constant air-gap voltage under variable speed and load. Energies 2018;11:1–16. https://doi.org/10.3390/en11102509.Suche in Google Scholar
57. Singh, B, Shilpakar, LB. Analysis of a novel solid state voltage regulator for a self-excited induction generator. IEE Proc Generat Transm Distrib 1998;145:647–55. https://doi.org/10.1049/ip-gtd:19982357.10.1049/ip-gtd:19982357Suche in Google Scholar
© 2021 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Research Articles
- Green energy transaction assessment on individual customer based on power factor correction coefficient
- A rate-of-change-of-current based fault classification technique for thyristor-controlled series-compensated transmission lines
- A comparative analysis of the performance of centralized inverter and parallel inverter based hybrid microgrid system for distributed generation
- Optimal reconfiguration of balanced and unbalanced distribution systems using firefly algorithm
- Identification of the best topology of delta configured three phase induction generator for distributed generation through experimental investigations
- Detection of symmetrical fault and discrimination from power swing using MOPSVC approach
- Coordinated control and parameters optimization for PSS, POD and SVC to enhance the transient stability with the integration of DFIG based wind power systems
- Dual model representation of solar photovoltaic cell
- Performance analysis of adaptive smart controllers for islanded microgrid
- Novel models of power system components for implicit solution of the adjusted power flow problem
- Evaluation of relative performance of Indian states in PV resource utilization through MPI
- Correlation between electric energy use and CO2 emissions in a university campus in Brazil
Artikel in diesem Heft
- Frontmatter
- Research Articles
- Green energy transaction assessment on individual customer based on power factor correction coefficient
- A rate-of-change-of-current based fault classification technique for thyristor-controlled series-compensated transmission lines
- A comparative analysis of the performance of centralized inverter and parallel inverter based hybrid microgrid system for distributed generation
- Optimal reconfiguration of balanced and unbalanced distribution systems using firefly algorithm
- Identification of the best topology of delta configured three phase induction generator for distributed generation through experimental investigations
- Detection of symmetrical fault and discrimination from power swing using MOPSVC approach
- Coordinated control and parameters optimization for PSS, POD and SVC to enhance the transient stability with the integration of DFIG based wind power systems
- Dual model representation of solar photovoltaic cell
- Performance analysis of adaptive smart controllers for islanded microgrid
- Novel models of power system components for implicit solution of the adjusted power flow problem
- Evaluation of relative performance of Indian states in PV resource utilization through MPI
- Correlation between electric energy use and CO2 emissions in a university campus in Brazil