Wind power plant fault data collecting system and collecting method based on SCADA system

Abstract

The invention discloses a wind power plant fault data collecting system based on an SCADA system. The system comprises the SCADA system configured with a fault record database, an IBOX fault monitor and draught fan controllers of all draught fans in a wind power plant, and the IBOX fault monitor is configured with a historical database, a basic experience database and an intelligent tracking optimized database capable of adopting an LRU algorithm and a searching weight allocation algorithm to optimize basic experience data; the basic experience database stores fault data type mapping tables corresponding to various fault codes one to one; the IBOX fault monitor is configured with the following function modules of a fault triggering module, a fault data screening module and a fault data sending module. The invention further discloses a fault data collecting method adopting the wind power plant fault data collecting system. By means of the wind power plant fault data collecting system and collecting method based on the SCADA system, fault data needed for fault analysis can be timely and automatically screened out after faults occur, human assistance for field collecting is not needed, the timeliness and accuracy of fault data collecting are improved, and the labor intensity is lowered.

Description

technical field [0001] The invention relates to a system for collecting fault data of a wind farm and a method for collecting fault data. Background technique [0002] SCADA (Supervisory Control And Data Acquisition) system, that is, data acquisition and monitoring system, can monitor and control on-site operating equipment, can help quickly diagnose system fault status, and improve the reliability, safety and economic benefits of power grid operation , It plays an irreplaceable role in improving the efficiency and level of scheduling. With the development of grid-connected new energy sources, SCADA systems are also applied to wind farms to monitor wind turbines. However, the SCADA system has a long sampling period and a small amount of recorded data. However, the wind turbine PLC control program has a task cycle of 10ms, so the SCADA system will A large amount of data is missed, and some data required for fault analysis, that is, fault data, cannot be recorded, which bring...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the deficiencies of the above-mentioned prior art, the present invention provides a wind farm fault data collection system based on the SCADA system, which solves the technical problems of poor timeliness, low accuracy and high labor intensity of fault data collection in the prior art, and can be used when a fault occurs After that, the fault data required for fault analysis is automatically screened out in a timely manner, without manual on-site collection, which greatly improves the timeliness and accuracy of fault data collection and greatly reduces labor intensity

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