Research on Power Quality Assessment Method of New Distribution System Considering Uncertainty

The traditional power quality assessment methods are highly subjective and the assessment results of power quality are uncertain under the influence of distributed power output, which leads to the difficulty of power quality co-optimization. A method of power quality assessment based on cloud modeling is proposed. Under the extension cloud theory, a assessment framework is proposed. Considering that the weight of each index affects the evaluation results of quality, cloud entropy optimization method is used to calculate the correlation of grades corresponding to each index. In order to improve the accuracy of the power quality evaluation results, the closeness of the positive and negative ideal grades is adopted to determine the power quality grade. Finally, the validity of the proposed method is verified.