Skip to main content
Top
Published in: Electrical Engineering 5/2023

08-06-2023 | Original Paper

A new simplified approach for the steady state analysis of self-excited induction generators employing the concepts of co-ordinate geometry

Authors: Anusha Kumaresan, Hanumanthu Kesari, Kumaresan Natarajan, Nagamani Chilakapati

Published in: Electrical Engineering | Issue 5/2023

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

A methodology for the steady state analysis of self-excited induction generators (SEIGs) is proposed employing an approach using simple co-ordinate geometry. The equivalent circuit of the SEIG is taken and its three complex admittances, 1, 2 and 3, are considered. Using the nodal analysis of the circuit and considering the nature of the parameters involved for ensuring self-excitation of the induction machine, it is shown that a triangle can be obtained by plotting 1, 2 and 3 in the complex plane. Utilizing the well-known properties of the triangle, in a few steps, a simple equation is derived for the per unit (pu) speed, in terms of pu frequency, real part of 1 and rotor resistance. This, consequently, leads to another simple expression for the calculation of the magnetizing reactance and further processing of the performance analysis of SEIG. Thus, this proposed method does not require advanced techniques or complex calculations. The analytical results arrived at are compared with those calculated using the popularly adopted genetic algorithm technique and recently evolved binary search method and also with the values obtained experimentally on a 3-phase, 3.75 kW, 230 V delta-connected induction machine run as an SEIG. A very close agreement is seen between these three sets of results.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
6.
go back to reference 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):1813–1822CrossRef 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):1813–1822CrossRef
7.
go back to reference Raj RE, Kamalakannan C, Karthigaivel R (2018) Genetic algorithm-based analysis of wind-driven parallel operated self-excited induction generators supplying isolated loads. IET Renew Power Gener 12(4):472–483CrossRef Raj RE, Kamalakannan C, Karthigaivel R (2018) Genetic algorithm-based analysis of wind-driven parallel operated self-excited induction generators supplying isolated loads. IET Renew Power Gener 12(4):472–483CrossRef
8.
go back to reference 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):1161–1172CrossRef 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):1161–1172CrossRef
10.
go back to reference Bansal RC (2005) Three-phase self-excited induction generators: an overview. IEEE Trans Energy Convers 20(2):292–299CrossRef Bansal RC (2005) Three-phase self-excited induction generators: an overview. IEEE Trans Energy Convers 20(2):292–299CrossRef
11.
go back to reference Kumaresan N, Selvan MP, Subbiah M (2004) Design optimisation and speed extension of wind-driven self-excited induction generators—a new approach. Electr Power Compon Syst 32(2):215–228CrossRef Kumaresan N, Selvan MP, Subbiah M (2004) Design optimisation and speed extension of wind-driven self-excited induction generators—a new approach. Electr Power Compon Syst 32(2):215–228CrossRef
12.
go back to reference Murali Krishna VB, Sandeep V, Murthy SS, 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 195:431–441CrossRef Murali Krishna VB, Sandeep V, Murthy SS, 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 195:431–441CrossRef
14.
go back to reference 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):247–257CrossRef 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):247–257CrossRef
17.
go back to reference Ammasaigounden N, Subbiah M, Krishnamurthy M (1986) Wind driven self-excited pole-changing induction generators. Proc IET B-Electr Power Appl 133(5):315–321CrossRef Ammasaigounden N, Subbiah M, Krishnamurthy M (1986) Wind driven self-excited pole-changing induction generators. Proc IET B-Electr Power Appl 133(5):315–321CrossRef
20.
go back to reference Singh SP, Jain M, Singh B (1995) A new technique for the analysis of self-excited induction generator. Electr Mach Power Syst 23:647–656CrossRef Singh SP, Jain M, Singh B (1995) A new technique for the analysis of self-excited induction generator. Electr Mach Power Syst 23:647–656CrossRef
24.
go back to reference Alolah AL, Alkanhal MA (2000) Optimization-based steady state analysis of three phase self-excited induction generator. IEEE Trans Energy Convers 15(1):61–65CrossRef Alolah AL, Alkanhal MA (2000) Optimization-based steady state analysis of three phase self-excited induction generator. IEEE Trans Energy Convers 15(1):61–65CrossRef
25.
go back to reference Kheldoun A, Refoufi L, Khodja DE (2012) Analysis of the self-excited induction generator steady state performance using a new efficient algorithm. Electr Power Syst Res 86:61–67CrossRef Kheldoun A, Refoufi L, Khodja DE (2012) Analysis of the self-excited induction generator steady state performance using a new efficient algorithm. Electr Power Syst Res 86:61–67CrossRef
26.
go back to reference Arthishri K, Anusha K, Kumaresan N, Kumar SS (2017) Simplified methods for the analysis of self-excited induction generators. IET Electr Power Appl 11(9):1636–1644CrossRef Arthishri K, Anusha K, Kumaresan N, Kumar SS (2017) Simplified methods for the analysis of self-excited induction generators. IET Electr Power Appl 11(9):1636–1644CrossRef
27.
go back to reference Bouhadjra D, Kheldoun A, Zemouche A (2020) Performance analysis of stand-alone six-phase induction generator using heuristic algorithms. Math Comput Simul 167:231–249MathSciNetCrossRefMATH Bouhadjra D, Kheldoun A, Zemouche A (2020) Performance analysis of stand-alone six-phase induction generator using heuristic algorithms. Math Comput Simul 167:231–249MathSciNetCrossRefMATH
28.
go back to reference Joshi D, Sandhu K, Bansal R (2013) Steady-state analysis of self excited induction generators using genetic algorithm approach under different operating modes. Int J of Sustain Energy 32(4):244–258CrossRef Joshi D, Sandhu K, Bansal R (2013) Steady-state analysis of self excited induction generators using genetic algorithm approach under different operating modes. Int J of Sustain Energy 32(4):244–258CrossRef
29.
go back to reference Karthigaivel R, Kumaresan N, Raja P, Subbiah M (2009) A novel unified approach for the analysis and design of wind-driven SEIGs using nested GAs. Wind Eng 33(6):631–647CrossRef Karthigaivel R, Kumaresan N, Raja P, Subbiah M (2009) A novel unified approach for the analysis and design of wind-driven SEIGs using nested GAs. Wind Eng 33(6):631–647CrossRef
30.
go back to reference Chauhan YK, Yadav VK, Singh B (2013) Optimum utilisation of self-excited induction generator. IET Electr Power Appl 7(9):680–692CrossRef Chauhan YK, Yadav VK, Singh B (2013) Optimum utilisation of self-excited induction generator. IET Electr Power Appl 7(9):680–692CrossRef
31.
go back to reference Ibrahim HE, Serag M (2011) Analysis of self excited induction generator using particle swarm optimization. World Acad Sci Eng Technol Int J Electr Compute Energ Electron Commun Eng 5:1194–1198 Ibrahim HE, Serag M (2011) Analysis of self excited induction generator using particle swarm optimization. World Acad Sci Eng Technol Int J Electr Compute Energ Electron Commun Eng 5:1194–1198
32.
go back to reference Sharma A, Patidar NP, Agnitotri G, Palwalia DK (2014) Performance analysis of self-excited induction generator using artificial bee colony algorithm. Int J Electr Robot Electron Commun Eng 8(6):980–985 Sharma A, Patidar NP, Agnitotri G, Palwalia DK (2014) Performance analysis of self-excited induction generator using artificial bee colony algorithm. Int J Electr Robot Electron Commun Eng 8(6):980–985
33.
go back to reference 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):2549–2555CrossRef 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):2549–2555CrossRef
34.
go back to reference Raj RE, Sridhar S (2021) Grey wolf optimizer algorithm for the performance predetermination of variable speed self-excited induction generators. COMPEL-Int J Computa Math Electr Electron Eng Raj RE, Sridhar S (2021) Grey wolf optimizer algorithm for the performance predetermination of variable speed self-excited induction generators. COMPEL-Int J Computa Math Electr Electron Eng
35.
go back to reference Elango T, Senthilkumar A (2018) FLOWER POLLINATION ALGORITHM BASED PERFORMANCE ANALYSIS OF SELF-EXCITED INDUCTION GENERATOR. Rev Roum Sci Techn-Électrotechn et Énerg 63(1):27–32 Elango T, Senthilkumar A (2018) FLOWER POLLINATION ALGORITHM BASED PERFORMANCE ANALYSIS OF SELF-EXCITED INDUCTION GENERATOR. Rev Roum Sci Techn-Électrotechn et Énerg 63(1):27–32
36.
go back to reference Zidani Y, Zouggar S, Elbacha A (2018) 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 42:41–48CrossRef Zidani Y, Zouggar S, Elbacha A (2018) 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 42:41–48CrossRef
37.
go back to reference 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 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
38.
go back to reference Singaravelu S, Velusami S (2007) Capacitive VAr requirements for wind driven self-excited induction generators. Energy Convers Manag 48(4):1367–1382CrossRef Singaravelu S, Velusami S (2007) Capacitive VAr requirements for wind driven self-excited induction generators. Energy Convers Manag 48(4):1367–1382CrossRef
39.
go back to reference Dewangan S, Vadhera S (2019) Performance improvement of three phase wind-driven SEIG using adaptive neuro-fuzzy inference system. Int Trans Electr Energy Syst 30(4):e12269 Dewangan S, Vadhera S (2019) Performance improvement of three phase wind-driven SEIG using adaptive neuro-fuzzy inference system. Int Trans Electr Energy Syst 30(4):e12269
40.
go back to reference Enany MA (2014) Steady state modeling and ANFIS based analysis of self-excited induction generator. Wind Eng 38(3):349–358CrossRef Enany MA (2014) Steady state modeling and ANFIS based analysis of self-excited induction generator. Wind Eng 38(3):349–358CrossRef
Metadata
Title
A new simplified approach for the steady state analysis of self-excited induction generators employing the concepts of co-ordinate geometry
Authors
Anusha Kumaresan
Hanumanthu Kesari
Kumaresan Natarajan
Nagamani Chilakapati
Publication date
08-06-2023
Publisher
Springer Berlin Heidelberg
Published in
Electrical Engineering / Issue 5/2023
Print ISSN: 0948-7921
Electronic ISSN: 1432-0487
DOI
https://doi.org/10.1007/s00202-023-01871-x

Other articles of this Issue 5/2023

Electrical Engineering 5/2023 Go to the issue