Wind power plant SCADA system based on big data cloud computing platform and running method of wind power plant SCADA system

Abstract

The invention discloses a wind power plant SCADA system based on a big data cloud computing platform and a running method of the wind power plant SCADA system. The system comprises a wind power plant side, the cloud computing platform and a centralized control center side; both the wind power plant side and the centralized control center side are connected with the cloud computing platform through the internet; the wind power plant side comprises a draught fan, a booster station, a box transformer substation, an anemometer tower, a watt hour meter, AGC, AVC, a message protection substation, fault wave recorder, a motion device, a front-arranged server, a firewall and an interchanger; the cloud computing platform comprises a big data server, an advanced application server and an interchanger; the centralized control center side comprises a network printer, a draught fan centralized control workstation, a booster station monitoring workstation, a reporting and alarming workstation and a maintenance workstation. According to the running method of the wind power plant SCADA system, a distributed data processing technology of Hadoop+MapReduce is adopted, the space for data storage is drastically increased, the cost for data storage is also lowered to the greatest extent, and the processing speed of the data is increased fundamentally at the same time.

Description

technical field [0001] The invention relates to the field of wind power, in particular to a wind farm SCADA system based on a big data cloud computing platform and an operating method thereof. Background technique [0002] Wind energy, as a clean renewable energy, has increasingly attracted the attention of countries all over the world, and wind power generation technology has basically matured. In a large-scale wind farm, there are dozens or even hundreds of wind turbines. How to effectively monitor the status of each wind turbine is very important to ensure the safe, reliable and economical operation of the wind turbines in the entire wind farm. The way to solve the above problems is to establish a wind farm SCADA (Supervisory Control And Data Acquisition, data acquisition and monitoring control) system to realize wind farm system-wide fan monitoring, information sharing, fault diagnosis and maintenance. The emergence of the SCADA system has changed the face of wind farm ...

AI Technical Summary

Problems solved by technology

However, the system adopts traditional data collection and transmission methods, which have high requirements on hardware equipment, complex system and high cost, but the speed and security of data collection and transmission are not high.

The more prominent problem is that the system only has basic wind farm monitoring functions, and there are data processing problems such as slow data processing speed, small quantity, and insufficient data mining capabilities. The big data of the wind farm itself is a waste of resources and restricts the system. The development of more advanced applications is not conducive to the intelligentization of the wind farm monitoring system

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