Risk Grading of Distribution Network Equipment Group Based on Fuzzy Clustering Factor Analysis

The power system, however, has shifted from a regulated system to a competitive, uncertain market environment. Various risks threaten the safe and stable operation of the distribution network at any time. At present, the research objects of risk assessment are mainly single equipment and overall system. However, it is difficult for these two research results to directly reflect the risk situation, and give suggestions for operation and maintenance improvement based on the results. At the same time, traditional risk assessment methods rely too much on expert advice. The actual evaluation efficiency is low and the application is difficult to promote. This paper proposes a method of risk grading for distribution network equipment group based on fuzzy clustering factor analysis. It can flexibly allocate network equipment groups and use equipment groups as research units. Based on multi-factor and multi-level distribution network equipment risk information, we refine the risk assessment index information by refining public factors. This method can not only optimize the risk assessment index information of distribution network equipment, but also improve the accuracy of assessment. And from the perspective of the equipment group, it is more convenient for the risk assessment conclusion to be applied to the distribution network, which has great practical significance. Some feeder data of Guangzhou are used to verify this method. The experimental results indicated that this method can be more easily applied to the actual distribution network operating environment.