The Transactions of the Korean Institute of Electrical Engineers B (대한전기학회논문지:전기기기및에너지변환시스템부문B)

The Korean Institute of Electrical Engineers (대한전기학회)
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A Study on Tuning of Current Controller for Grid-connected Inverter Using Particle Swarm Optimization

PSO를 이용한 계통연계형 인버터 전류제어기의 자동조정에 관한 연구

  • Published : 2004.11.01
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Abstract

This paper presents the on-line current controller tuning method of grid-connected inverter using PSO(particle swarm optimization) technique for minimizing the harmonic current. Synchronous frame PI current regulator is commonly used in most distributed generation. However, due to the source voltage distortion, specially in weak AC power system, current may contain large harmonic components, which increase THD(total harmonic distortion) and deteriorates power quality. Therefore, some tuning method is necessary to improve response of current controller. This paper used the PSO technique to tune the current regulator and through simulation and experiments, usefulness of the tuning method has been verified. Especially in simulating the tuning process, ASM(average switching model) of inverter is used to shorten execution time.

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References

  1. E. Twining, D. G. Holmes, 'Modelling grid-connected voltage source inverter operation', Proceedings of the Australasian Universities Power Engineering Conf. (AUPEC-2001), Sep. 23-26, 2001, pp. 501-506
  2. M. B. Lindgren, 'Analysis and simulation of digitally-controlled grid-connected PWM converters using the space-vector average approximation', Proceedings of the 5th IEEE workshops on Computers in Power Electronics, pp 85-89, 1996 https://doi.org/10.1109/CIPE.1996.612341
  3. T. M. Rowan and R. J. Kerkman, 'A new synchronous current regulator and an analysis of a current - regulated PWM inverter,' IEEE Trans. Ind. Applicat., vol. 22, pp. 678-690, July/Aug. 1986. https://doi.org/10.1109/TIA.1986.4504778
  4. Z. L. Gaing, 'A particle swarm optimization approach for optimum design of PID controller in AVR system,' IEEE Trans. on energy conversion, vol. 19, no. 2, pp. 384- 391, June 2004 https://doi.org/10.1109/TEC.2003.821821
  5. S. Easter Selvan, S. Subramanian and S. T. Solomon, 'Novel technique for PID tuning by particle swarm optimization', Proc. Seventh annual swarm users /researchers conference, Apr. 13-15, 2003
  6. T. O'Mahony, C. J. Downing and K. Fatla, 'Genetic Algorithms for PID Parameter Optimization: Minimizing Error Criteria', Proc. of Process and Instrumentation 2000, Jul. 26-27
  7. 안종보, 황기현, 박준호, '유전알고리즘을 이용한 HVDC용 퍼지제어기의 설계,' 대한전기학회 논문지, Vol. 53A, no. 1, pp 36-43, 2003.
  8. H. Yoshida, K. Kawata and Y. Fukuyama, 'A particle swarm optimization for reactive power and voltage control considering voltage security assessment', IEEE Trans. on Power Sys., vol. 15, pp. 1232-1239, Nov. 2000. https://doi.org/10.1109/59.898095
  9. J. Kennedy and R. Eberhart, 'Particle Swarm Optimization', Proceedings of IEEE international Conference on Neural Networks (ICNN '95),Vol. IV, pp.1942-1948, Perth, Australia,1995
  10. P. Angeline, 'Using selection to improve particle swarm optimization', In Proc. of Int. Conference on Evolutionary Computation, Alaska, USA, May 1998 https://doi.org/10.1109/ICEC.1998.699327
  11. Y. Shi and R. Eberhart, 'A modified particle swarm optimization', In proc. of IEEE Int. Conf. on Evolutionary Computation, Anchorage, USA, May 1998
  12. IEEE Std. 519-1992 Recommended Practices and Requirements for Harmonic Control In Electrical Power Systems
  13. IEEE Std. 1547-2003 IEEE Standard for Interconnecting Distributed Resources with Electric Power Systems