Steady State Power Quality Evaluation of Grid-Connected Photovoltaic System Based on Improved Principal Component Analysis Method
Ji-dong Wang, Li-peng Wang and Xi-pin Pang
Affiliation: School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China.
Keywords: Comprehensive evaluation, G1 method, principal component analysis, power quality.
The comprehensive quantified evaluation of power quality is one of the main foundations in power quality appraisal.
This paper presents the improved principal component analysis (PCA) method to evaluate steady state power
quality of grid-connected photovoltaic system synthetically. Some improvements are made to traditional PCA method for
the purpose of taking subjective factors into account and normalizing the final assessment results. Furthermore, the assessment
results are graded on the basis of the Chinese national standard. The result shows that this method is simple,
practical and efficient on power quality comprehensive evaluation. This method is the basis of a number of patents on
power quality evaluation.
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