Classification of power quality monitoring point based on Fuzzy Cluster Analysis

Power Quality (PQ) has assumed great importance in the past years in electrical system operation. Evaluation of PQ has become more and more crucial, especially when other PQ technologies have achieved great improvement. This paper presents a classification of power quality monitoring point based on Fuzzy Cluster Analysis (FCA). After a series of conversions for fuzzy similar matrix and operations, different clustering of power quality can be obtained. With the dynamic clustering diagram, the power qualities of different monitoring places were sorted and evaluated. Some typical example analysis shows that the FCA is practicable for the synthetic evaluation of power quality, and it is also a new idea. As a matter of fact, the FCA overcomes evaluation standard limitation too definitely on evaluation results, takes into the effect of general elements on power quality and ensures objective and precision. The FCA offers a scientific basis for customers to select power suppliers and price according to power quality