Steady-state power quality comprehensive evaluation of grid-connected photovoltaic system based on Bayes discriminant analysis

In view of the current increasingly serious consumption of fossil fuels, new energy power generation has attracted more and more attention, and the resulting power quality problems have also attracted more research. At present, the assessment of power quality in current national standards only remains on a single index, so it is necessary to propose an effective comprehensive assessment method for power quality. Starting from a new perspective, the paper uses the Bayes discriminant analysis method to directly combine the national standards of relevant power quality indicators to establish a discriminant function for each power quality level, thereby determining the power quality level of the measurement point, and completing the comprehensive evaluation of power quality. The actual measurement data of the Dynamic Model Laboratory of Tianjin University is verified, which proves that this method can not only avoid the influence of subjective and objective factors such as the personal preference of the decision maker, but also obtain scientific and effective results conveniently and quickly.