Research On Reliability Evaluation Method Of Power Grid Based On Big Data

The stable operation of the power system is related to the production and life of the people,especially industrial and domestic electricity.During the entire power system operation process,from power generation to power transmission and distribution,and even the final power consumption stage,its reliability has always We must focus on the process.In the process of power supply,equipment is often a fragile link in the power grid.Many domestic and foreign power companies are committed to finding efficient and accurate grid equipment risk detection technologies and trying to find out that they can accurately assess the health and faults of different equipment in the power grid.Probability,while traditional equipment failure prediction methods are confined to expert experience.This method often results in incorrect calculation of the probability due to factors such as the special location of the equipment,changes in the external environment,and overloaded power grids,resulting in varying degrees of consequences.Therefore,it is necessary to carry out a comprehensive and accurate reliability assessment of the power system.In this paper,based on a large number of historical equipment fault data and big data analysis method,combined with principal component analysis method and fuzzy comprehensive evaluation method,the failure probability of some equipment in power grid is calculated,and the failure probability is converted into the weight value,and then the equipment risk assessment model is further established,and then the model is tested by a real case to ensure that the model can be reasonably reversed Reflect the health status of power grid equipment,accurately grasp the vulnerable parts of power grid equipment,and provide reference for future power grid equipment procurement,fault prediction,state evaluation and other links.Finally,the model algorithm of ieee-rts79 reliability test system is verified by using the reliability evaluation method of power system based on big data technology adopted in this paper,and its reliability index is calculated.At the same time,the system reliability index calculation under equipment failure is considered,and compared with the system reliability index under normal operation,the key equipment in the system that needs attention is found 。...