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Selection of stand-alone self-excited induction generator parameters to obtain maximum allowable operating range under unbalanced operations using particle swarm optimization

Author

Listed:
  • Yatender Chaturvedi

    (KIET Group of Institutions)

  • Sumit Kumar

    (Amity University)

Abstract

Self-excited induction generators (SEIG) are playing a vital role as useful machines to feed a three-phase load at remote and windy locations where possibility of grid extension is very poor. In isolated mode, the operation of self-excited induction generators under unbalanced load and excitation may results into over voltage and over current in any phase of the machine. In this paper, performance over five different rating machines have been investigated which may be helpful for the selection of best induction machine as SEIG in order to obtain maximum allowable operating range with in the acceptable limits of voltage and current during unbalanced operations. The model as presented has been formulated with a new objective function and its variables containing degree of unbalance, per unit frequency, magnetizing reactance of positive and negative sequence circuits has been solved using particle swarm optimization.

Suggested Citation

  • Yatender Chaturvedi & Sumit Kumar, 2020. "Selection of stand-alone self-excited induction generator parameters to obtain maximum allowable operating range under unbalanced operations using particle swarm optimization," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(3), pages 677-689, June.
    • Handle: RePEc:spr:ijsaem:v:11:y:2020:i:3:d:10.1007_s13198-020-00983-y
    DOI: 10.1007/s13198-020-00983-y
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    Cited by:

    1. Ashish Kumar & Muskaan Arora & Monika Saini, 2023. "Influence of mathematics on the academic performance of mechanical engineering students: a PLS-SEM approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 367-376, February.
    2. Yatender Chaturvedi, 2022. "Effects of magnetization characteristics on the performance of self-excited induction generator under unbalanced operations," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 375-384, February.

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