Harmonic Suppression Method Based on Immune Particle Swarm Optimization Algorithm in Micro-Grid

Ying Zhang^*, Yufeng Gong, Junyu Chen, Jing Wang

Department of Information Engineering, Zhejiang University of Technology, Hangzhou, China.

DOI: 10.4236/jpee.2014.24038                

Abstract

Distributed generation has attracted great attention in recent years, thanks to the progress in new-generation technologies and advanced power electronics. And micro-grid can make full use of distributed generation, so it has been widespread concern. On the other hand due to the extensive use of power electronic devices and many of the loads within micro-grid are nonlinear in nature, Micro-grid generate a large number of harmonics, so harmonics pollution needs to be addressed. Usually we use passive filter to filter out harmonic, in this paper, we propose a new method to optimize the filter parameters, so passive filter can filter out harmonic better. This method utilizes immune particle swarm optimization algorithm to optimize filter parameters. It can be shown from the simulation results that the proposed method is effective for micro-grid voltage harmonics compensation.

Keywords

Micro-Grid; Immune Particle Swarm Optimization Algorithm; Harmonic Compensation

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Zhao, H.-W. and Wu, T.-T. (2008) Review of Distributed Generation Based Micro-Grid Technology. Proceedings of the CSU-EPSA, 20, 121-126.
[2]	Villeneuve, P.L. (2004) Concerns Generated by Islanding. IEEE Power and Energy Magazine, 2, 49-53.
[3]	Wang, C.-S., Xiao, Z.-X. and Wang, S.-X. (2008) Integrated Control and Analysis of Micro-Grid. Automation of Electric Power Systems, 32, 98-103.
[4]	(2013) Harmonics Suppression of Current Transformer Methods and Countermeasures in Micro-Grid. http://www.papershome.com/gongxue/dianli/15168_2.html
[5]	Li, F.-X. and Zhao, B.-H. (2001) The Study and Apply of Technology about Harmonic Restraining. Proceedings of the CSU-EPSA, 13, 5.
[6]	Li, Y., Vilathgamuwa, D.M. and Loh, P.C. (2005) Micro-Grid Power Quality Enhancement Using a Three-Phase Four Wire Grid-Interfacing Compensator. IEEE Transactions on Industry Applications, 41, 1707-1719. http://dx.doi.org/10.1109/TIA.2005.858262
[7]	Zhang, W. (2006) Reactive Power Optimization Research of Power System Based on Particle Swarm Algorithm. Shandong University.
[8]	Yan, J., Hu, T.S. and Huang, C.H. (2011) An Improved Particle Swarm Optimization Algorithm. Applied Mathematics and Computation, 37, 1232-1247.
[9]	Xiong, H.-G., Chang, H.-Z. and Li, H.-Z. (2006) Multi-Objective Reactive Power Optimization Based on Immune Algorithm. Proceedings of the CSEE, 104-108.
[10]	Liu, K.-Y., Sheng, W.-X. and Li, Y.-H. (2007) ReactiVe Power Optimization Based on Improved Immunity Genetic Algorithm. Power System Technology, 31, 11-16.
[11]	Mohamed, Y.A.-R.I. and El-Saadany, E.F. (2008) Adaptive Decentralized Droop Controller to Preserve Power Sharing Stability of Paralleled Inverters in Distributed Generation Microgrids Power Electronics. IEEE Transactions, 2806- 2816.
[12]	Han, L. (2008) The Research and Application of Immunity Swarm Algorithm. Xi’an University of Engineering, Xi’an.
[13]	Nie, R. and Yue, J.-H. (2009) Seismic Wave Impedance Inversion Based Onadaptive Immune Clonal Particles Swarm Optization. Computer Applications and Software.