Data-fusion-technology-based state assessment method for storage battery pack of transformer substation

Abstract

The invention discloses a data-fusion-technology-based state assessment method for a storage battery pack of a transformer substation. Electric parameters and state parameters of a direct-current system storage battery pack of a transformer substation are classified and effects of different monitoring quantities in state assessment are analyzed; the state parameters are determined; a mathematicalanalysis model is established for different electrical parameters and operating state of a current storage battery pack is analyzed; a historical data trend analysis model is established by combiningthe historical data of the storage battery pack, and the operation state of the storage battery pack is predicted; and then on the basis of deep fusion data, assessment information of the current operation state of the storage battery pack is provided. With the method disclosed by the invention, prediction and assessment are carried out on the operation state of the storage battery pack; and moreover, the method is simple and is easy to use and a basis is provided for the direct-current operation, maintenance and repair personnel.

Description

technical field [0001] The invention belongs to the technical field of substation detection, and in particular relates to a method for evaluating the state of a storage battery group based on data fusion technology. Background technique [0002] The storage battery is an important part of the DC power supply of the substation. It is widely used as a backup power supply in the substation, and its reliability directly affects the safe operation of the power grid. Once there is a problem with the DC system, the battery pack will serve as a backup power supply to supply power to the load, so the operating status of the battery pack is very important. At present, it has always been a difficult problem to evaluate the health status and state of battery packs. [0003] To solve this problem, there are currently two main solutions. One is to use the battery online monitoring equipment to monitor the battery operation data. At present, this method can realize the monitoring of batte...

AI Technical Summary

Problems solved by technology

[0003] To solve this problem, there are currently two main solutions. One is to use the battery online monitoring equipment to monitor the battery operation data. At present, this method can realize the monitoring of battery voltage, internal resistance, temperature and other data. Only through the data However, this method is often difficult to find potential risks of the battery. Under the condition that the current data is normal, it is difficult to judge the operation status of the battery, and it is also impossible to check the operation status of the battery. state for prediction

The second is to carry out checking discharge on the battery pack. This method can accurately estimate the capacity of the battery, but it cannot comprehensively judge the state of the battery, such as the problem that the battery pack is detached from the busbar. At the same time, this method has high manpower and material costs and requires more High time cost and labor cost; the interval is long, and it is impossible to evaluate and predict the operating status of the battery pack

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