Chun-Xia Dou, Ting Gui, Ye-Fei Bi, Jin-Zhao Yang and Xiao-Gang Li. Assessment of Power Quality Based on D-S Evidence Theory. International Journal of Automation and Computing, vol. 11, no. 6, pp. 635-643, 2014.
Citation: Chun-Xia Dou, Ting Gui, Ye-Fei Bi, Jin-Zhao Yang and Xiao-Gang Li. Assessment of Power Quality Based on D-S Evidence Theory. International Journal of Automation and Computing, vol. 11, no. 6, pp. 635-643, 2014.

Assessment of Power Quality Based on D-S Evidence Theory

doi: 10.1007/s11633-014-0837-y

This work was supported by National Natural Science Foundation of China (No. 51177142) and Natural Science Foundation of Hebei Province (No. F2012203063)

  • Received Date: 2012-09-26
  • Rev Recd Date: 2013-11-21
  • Publish Date: 2014-12-20
  • Technological advancement of measurement systems has enhanced the accuracy of power quality assessment by using a combination of measured information. This paper proposes a novel approach for estimating power quality based on information fusion technique of Dempster-Shafer (D-S) evidence theory. First, in order to accurately extract transient features regarding power quality indexes, wavelet packet transform and lifting wavelet transform are proposed to detect various disturbance signals' measurement. By using many kinds of transformed transient indexes and steady state indexes, a novel reliability distribution function is constructed, and synthesized assessment index of power quality is drafted based on information fusion technique of D-S evidence theory. Finally, the simulation results prove that D-S evidence theory is a more effective means for evaluating the power quality.


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