Wind farm scada system and its operation method based on big data cloud computing platform
A cloud computing platform and wind farm technology, applied in the field of wind power, can solve problems such as insufficient data mining capabilities, small quantities, and complex systems, and achieve the effect of increasing data processing speed, processing speed, and room for improvement
Active Publication Date: 2020-10-16
HEBEI UNIV OF TECH
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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
Method used
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Embodiment 1
[0044] Select the voltage, current, frequency, voltage phase angle difference, current phase angle difference and other data sets suitable for cluster analysis in the telemetry reference table of a wind farm booster station, and call the 45 million records stored in the history server of the SCADA system Records are used as experimental data, which are divided into five groups of 1 million, 2 million, 5 million, 10 million, 18 million, 30 million and 45 million, the time consumption of different data volumes (as shown in Table 1), and the simulation results (such as Figure 4 shown).
[0045] Table 1 Time-consuming comparison of two algorithms with different data volumes
[0046]
[0047] By using different data volumes for experimental simulations and comparing the two curves, the following conclusions can be drawn. Compared with the standard K-Means algorithm, the data processing speed of the K-Means algorithm combined with the cloud computing platform after MapReduce is ...
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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 ...
Claims
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IPC IPC(8): G06F16/182G06F16/22G06F16/27H04L29/08H04L29/06
CPCG06F16/183G06F16/2282G06F16/27H04L63/0428H04L67/10H04L67/1097
Inventor 梁涛侯振国邹继行张迎娟孙天一
Owner HEBEI UNIV OF TECH