A transformer cluster management method and system

Abstract

The present invention discloses a transformer cluster management method and system, comprising the following steps: step S1, obtaining the operation log of the transformer, and constructing a first cluster management model sample set representing the basic characteristics of cluster management based on the operation log; step S2, Using feature fusion to optimize the cluster management basic features in the first cluster management model sample set to construct a second cluster management model sample set representing the optimal features of cluster management, and construct a transformer based on the second cluster management model sample set Cluster management model attributed to optimally managed clusters. The invention uses a hierarchical clustering algorithm to divide transformers with similar ledger parameters and working condition data into the same transformer cluster, and then understands the differences of equipment in the cluster through mutual comparison of transformer state monitoring data in the same cluster, and can quickly determine which transformer It is in an abnormal state, and the accuracy of abnormal detection is high.

Description

technical field [0001] The invention relates to the technical field of transformer management, in particular to a transformer cluster management method and system. Background technique [0002] The power transformer is one of the most important power transmission and transformation equipment in the power system. Its operating status is directly related to the safety and stability of the entire power system. The power transformer here is usually a transformer of 10KV or above, for example: a 10KV distribution transformer, 35KV and above transmission transformers, etc., so it is very important to ensure the reliable operation of transformers. With the rapid development of sensor technology and computer technology, real-time status monitoring and evaluation of transformers has gradually become possible. [0003] At present, the mainstream method of identifying whether the state of the transformer is abnormal is to monitor the core state quantities of the transformer online, an...

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Problems solved by technology

[0004] The purpose of the present invention is to provide a transformer cluster management method and system to solve the problem that in the prior art, data is analyzed only based on manual experience such as thresholds, so that the utilization rate of the data is very low, and the due value of the data is buried, which eventually leads to Technical problems with low discrimination accuracy

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