An on-line monitoring data analysis and evaluation method of a hydroelectric unit

Abstract

The invention belongs to the technical field of hydroelectric power generation equipment, in particular to an on-line monitoring data analysis and evaluation method of a hydroelectric unit. The analysis and evaluation method comprises the following steps: S1, establishing a unit operation characteristic database; S2, establishing the unit state database; S3,performing characteristic parameter dataanalysis; S4, performing characteristic parameter evaluation and diagnosis; S5, performing Fault Matching and Troubleshooting Suggestions. The invention has the advantages of real-time grasping the health state of the unit, and providing powerful technical support for safe operation, optimized scheduling and maintenance guidance. It can also focus on analyzing and evaluating the monitoring information of each unit, and can carry out real-time physical examination on the units in operation state, which is easy to analyze and compare the operating characteristics and rules of different units, to promote the optimal operation of units in time, and to give full play to the role of analysis and diagnosis of experts in the field.

Description

technical field [0001] The invention belongs to the technical field of hydroelectric power generation equipment, and in particular relates to a method for analyzing and evaluating online monitoring data of a hydroelectric unit. Background technique [0002] With the increasing proportion of large-scale hydroelectric generating units in the entire power grid, the capacity of a single unit increases, the average annual power generation time is prolonged, and the maintenance time is shortened. The economic losses caused by accident shutdowns are extremely serious. Accurate analysis and evaluation of hydraulic turbine generator set failure is of great significance to the stable and reliable operation of the power system. [0003] A hydroelectric unit is a large rotating device that includes hydraulic, mechanical and electrical systems. The status analysis and evaluation of hydropower units includes data collection, data processing and analysis, processing opinions and decisions...

AI Technical Summary

Problems solved by technology

[0004] At present, hydropower plants have low levels of parameter synthesis and intelligent analysis that affect safety. Under the background that hydropower plants are increasingly moving towards "no one on duty, few people on duty", these problems will bring great hidden dangers to the safe operation of the power plant

In particular, remote monitoring technologies such as unit stability and adjustment system operating status are still not perfect, and remote real-time diagnosis and decision-making technologies and methods are lacking

[0005] At present, there are the following problems in the on-line monitoring device of the generator set in the upper reaches of the Yellow River Basin. First, the monitoring data lacks in-depth data mining, and it is difficult to comprehensively use the monitoring data, characteristic parameters, and symptoms to analyze the deterioration trend of the water machine operation, and cannot accurately locate the fault location. Cause and degree of failure, unable to evaluate the operating status of the generator set

Secondly, the online monitoring device fails to guide maintenance and rationalize the arrangement of relevant test experiments; finally, there is a lack of an adaptable massive data online monitoring data status assessment method

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