Abstract
A simplified technique has been developed for accurately evaluating the steady-state performance of self-excited induction generator (SEIG). This proposed technique employs nodal analysis of the equivalent circuit of SEIG, taking the core loss resistance (Rm) also into consideration. This circuit has no voltage or current source and hence the net value of its complex nodal admittance becomes zero. The real and imaginary parts of this admittance, are then individually equated to zero and a closed-form expression for per unit (pu) speed (b), without involving the magnetizing reactance (Xm), is easily obtained in a few steps, for the specified pu frequency (a). Then, the expressions for Xm and Rm are also obtained. Subsequently, the complete performance of the SEIG is evaluated using the equivalent circuit. It is also shown that the proposed technique does not require lengthy complex derivations and it takes much less computational time, compared to the other commonly used methods for the analysis of SEIG. Test results, obtained on a three-phase, 4-pole, 3.7 kW, 230 V SEIG very closely agree with the computed values. The formulated technique is also slightly modified to make it applicable, if the performance evaluation is needed for a given pu speed.
Similar content being viewed by others
Data availability
The current study did not generate or analyse any datasets. However, the machine parameters taken in the lab were utilised to support the findings and analysis in the article.
Abbreviations
- a :
-
Per unit (pu) frequency, fg/fr
- b :
-
pu Speed, N/Ns
- C :
-
Per phase excitation capacitance, F
- E̅ :
-
Per phase air gap voltage, V
- f g :
-
Generated frequency, Hz
- f r :
-
Rated frequency, Hz
- N :
-
Actual rotor speed, rpm
- N s :
-
Synchronous speed corresponds to rated frequency, rpm
- R/X :
-
Load resistance/reactance per phase, Ω
- R m :
-
Core loss resistance per phase, Ω
- R 1 /R 2 :
-
Stator/rotor (referred to stator) resistance per phase, Ω
- X 1 /X 2 :
-
Stator/rotor (referred to stator) reactance per phase, Ω
- X C :
-
Excitation capacitive reactance per phase, Ω
- X m :
-
Magnetizing reactance per phase, Ω
- X mc :
-
Critical magnetizing reactance per phase, Ω
References
Ritchie, Roser, Mispy, Ortiz-Ospina (2018) Measuring progress towards the sustainable development goals. (SDG 7), SDG-Tracker.org, website CC BY icon.svg
Kesari H, Kumaresan N (2023) A novel control scheme for induction generator based stand-alone micro hydro power plants. Distrib Gener Altern Energy J 38(6):1791–1814. https://doi.org/10.13052/dgaej2156-3306.3864
Sekhar N, Kumaresan N (2022) Operation and control of a stand-alone power system with integrated multiple renewable energy sources. Wind Eng 46(1):221–239. https://doi.org/10.1177/0309524X211024126
Palani A, Mahendran V, Vengadakrishnan K et al (2023) A novel design and development of multilevel inverters for parallel operated PMSG-based standalone wind energy conversion systems. Iran J Sci Technol Trans Electr Eng. https://doi.org/10.1007/s40998-023-00661-2
Hannan MA, Al-Shetwi AQ, Mollik MS, Ker PJ, Mannan M, Mansor M, Al-Masri HMK, Mahlia TMI (2023) Wind energy conversions, controls, and applications: a review for sustainable technologies and directions. Sustainability 15(5):3986. https://doi.org/10.3390/su15053986
Kazemi Y, MahdiRezaei M (2023) A grid forming control strategy for STATCOM-assisted isolated SCIG-based wind energy conversion systems. Energy Syst. https://doi.org/10.1007/s12667-023-00642-8
Bansal RC (2005) Three-phase self-excited induction generators: an overview. IEEE Trans Energy Convers 20(2):292–299. https://doi.org/10.1109/TEC.2004.842395
Krishna VM, Sandeep V, Murthy S, Yadlapati K (2022) Experimental investigation on performance comparison of self excited induction generator and permanent magnet synchronous generator for small scale renewable energy applications. Renew Energy 195:431–441
Arthishri K, Kumaresan N, Ammasai Gounden N (2019) Analysis and application of three-phase SEIG With power converters for supplying single-phase grid from wind energy. IEEE Syst J 13(2):1813–1822. https://doi.org/10.1109/JSYST.2018.2875761
Senthil Kumar S, Kumaresan N, Subbiah M (2015) Analysis and control of capacitor-excited induction generators connected to a micro-grid through power electronic converters. IET Gener Transm Distrib 9(10):911–920. https://doi.org/10.1049/iet-gtd.2014.0529
Essaki RR, Kamalakannan C, Karthigaivel R (2021) An optimum three-stage stator winding connections for wind-driven stand-alone self-excited induction generators for enhanced annual energy output. Electr Eng 103:865–880. https://doi.org/10.1007/s00202-020-01125-0
Nayanar V, Kumaresan N, Ammasai Gounden N (2016) A single-sensor based MPPT controller for wind-driven induction generators supplying DC microgrid. IEEE Trans Power Electron 31(2):1161–1172. https://doi.org/10.1109/TPEL.2015.2420568
Kumaresan N (2005) Analysis and control of three-phase self-excited induction generators supplying single-phase AC and DC loads. IEE Proc Electr Power Appl 152(3):739–747
Chauhan YK, Jain SK, Singh B (2010) A prospective on voltage regulation of self-excited induction generators for industry applications. IEEE Trans Ind Appl 46(2):720–730. https://doi.org/10.1109/TIA.2009.2039984
Arthishri K, Anusha K, Kumaresan N, Senthil Kumar S (2017) Simplified methods for the analysis of self-excited induction generators. IET Electric Power Appl 11(9):1636–1644. https://doi.org/10.1049/iet-epa.2017.0282
Chan TF (1994) Steady-state analysis of self-excited induction generators. IEEE Trans Energy Convers 9(2):288–296. https://doi.org/10.1109/60.300146
Ouazene L, McPherson G (1983) Analysis of the isolated induction generator. IEEE Trans Power Appar Syst 102(8):2793–2798. https://doi.org/10.1109/TPAS.1983.317962
Murthy SS, Singh BP, Nagamani C, Satyanarayana KVV (1988) Studies on the use of conventional induction motors as self-excited induction generators. IEEE Trans Energy Convers 3(4):842–848. https://doi.org/10.1109/60.9360
Khlifi MA, Ben SM, Ben Fredj M, Rhaoulia H (2016) Performance evaluation of self-excited DSIG as a stand-alone distributed energy resource. Electr Eng 98:159–167. https://doi.org/10.1007/s00202-015-0349-y
Alolah AL, Alkanhal MA (2000) Optimization-based steady state analysis of three phase self-excited induction generator. IEEE Trans Energy Convers 15(1):61–65
Al-Senaidi S, Alolah A, Alkanhal M (2022) Parallel operation of three-phase self-excited induction generators with different numbers of poles. Eng Sci Technol Int J 25:100988
Kheldoun A, Refoufi L, Khodja DE (2012) Analysis of the self-excited induction generator steady state performance using a new efficient algorithm. Electric Power Syst Res 86:61–67
Joshi D, Sandhu KS, Bansal RC (2013) Steady-state analysis of self excited induction generators using genetic algorithm approach under different operating modes. Int J Sustain Energy 32(4):244–258
Karthigaivel R, Kumaresan N, Subbiah M (2011) Analysis and control of self excited induction generator-converter systems for battery charging applications. IET Electr Power Appl 5(2):247–257. https://doi.org/10.1049/iet-epa.2010.0088
Chaturvedi Y, Kumar S (2020) Selection of stand-alone self-excited induction generator parameters to obtain maximum allowable operating range under unbalanced operations using particle swarm optimization. Int J Syst Assur Eng Manag 11:677–689. https://doi.org/10.1007/s13198-020-00983-y
Hasanien HM, Hashem GM (2018) A cuckoo search algorithm optimizer for steady-state analysis of self-excited induction generator. Ain Shams Eng J 9(4):2549–2555. https://doi.org/10.1016/j.asej.2017.07.003
Essaki RR, Sridhar S (2021) Grey wolf optimizer algorithm for the performance predetermination of variable speed self-excited induction generators. COMPEL—Int J Comput Math Electr Electron Eng 58:9–6. https://doi.org/10.1108/COMPEL-06-2021-0197
Joshi K, Sandhu MS (2006) Performance analysis of self-excited induction generator using artificial neural network. Iran J Electr Comput Eng 5(1):57–62
Singaravelu S, Velusami S (2007) Capacitive VAr requirements for wind driven self-excited induction generators. Energy Convers Manage 48(4):1367–1382
Enany MA (2014) Steady state modeling and ANFIS based analysis of self-excited induction generator. Wind Eng 38(3):349–358. https://doi.org/10.1260/0309-524X.38.3.349
Anusha K, Kesari H, Kumaresan N, Nagamani C (2023) A new simplified approach for the steady state analysis of self-excited induction generators employing the concepts of co-ordinate geometry. Electr Eng 105:3229–3239. https://doi.org/10.1007/s00202-023-01871-x
Varshney L, Aanchal SS, Vardhan AS, Vardhan S, Sachin Kumar RK, Saket and P. Sanjeevikumar (2021) Performance characteristics and reliability assessment of self-excited induction generator for wind power generation. IET Renew Power Gener 15:1927–1942. https://doi.org/10.1049/rpg2.12116
Haque MH (2009) A novel method of evaluating performance characteristics of a self-excited induction generator. IEEE Trans on Energy Convers 24(2):358–365
Al-Senaidi SH, Alolah AI, Alkanhal MA (2018) Magnetization-dependent core-loss model in a three-phase self-excited induction generator. Energies 11(3228):1–12
Singh SP, Jain M, Singh B (1995) A new technique for the analysis of self excited induction generator. Electric Mach Power Syst 23:647–656
Acknowledgements
The authors warmly acknowledge the authorities of the National Institute of Technology, Tiruchirappalli, India, for providing all the facilities to carry out this research work. The authors would also like to extend their sincere thanks to Dr. M. Subbiah for his valuable assistance in the preparation of presented research work.
Funding
The author(s) received no external fund for this research work.
Author information
Authors and Affiliations
Contributions
Hanumanthu Kesari: Methodology, Formal analysis, Investigation, Experimentation, Writing- Original draft. Kumaresan Natarajan: Supervision, Conceptualization, Validation, Writing- Review & Editing. Anusha Kumaresan: Conceptualization, Formal analysis, Writing- Review & Editing.
Corresponding author
Ethics declarations
Conflict of interest
There is no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Ethical approval
This article does not contain any studies involving animals or human participants performed by any of the authors.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Kesari, H., Natarajan, K. & Kumaresan, A. A simplified computational technique for the analysis of self-excited induction generators considering the core loss resistance. Electr Eng (2024). https://doi.org/10.1007/s00202-024-02366-z
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s00202-024-02366-z