Classification of power quality disturbance based on wavelet and improved S-transform

Jiang, Hui; Liu, Shungui; Yin, Yuanxing; Tian, Qidong; Peng, Jianchun

doi:10.3724/sp.j.1249.2014.01023

Cited by 1 publication

(1 citation statement)

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“…Reference [4][5][6][7], respectively, using the fuzzy mathematics, analytic hierarchy process, vector algebra, probability and statistics and artificial neural network for power quality comprehensive evaluation. Using these methods, a comprehensive evaluation to a great extent are greatly influenced by subjective factors, evaluation results has also been a certain degree of influence.…”

Section: Introductionmentioning

confidence: 99%

Improved Genetic Projection Pursuit Method Based on Measured Data on Power Quality Comprehensive Evaluation of the Application

Jia

She

Huang

et al. 2013

AMR

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This paper uses Multi-index to assess regional power quality comprehensively. This paper introduces genetic projection pursuit method on power quality comprehensive evaluation. Without human intervention, this method overcomes the traditional power quality comprehensive evaluation method is influenced by subjective factors. Based on this, we put forward improved genetic projection pursuit algorithm. In the process of projection pursuit model and in the field data, changing the maximum normalized to normalization of national standard limit. According to the field experiment data in QingHai province, we assess the results by analysis and comparison with the original method. The improved method is more accurate on power quality comprehensive assessment.

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Section: Introductionmentioning

confidence: 99%