Wind Power Operation Management and Control Center Based on Big Data

YIN Shi,CHI Yan,WANG Qile,WANG Yinsheng,HE Wei

Distributed Energy ›› 2017, Vol. 2 ›› Issue (5) : 60-64.

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Distributed Energy ›› 2017, Vol. 2 ›› Issue (5) : 60-64. DOI: 10.16513/j.cnki.10-1427/tk.2017.05.010
Application Technology

Wind Power Operation Management and Control Center Based on Big Data

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Abstract

With the larger scale of installed wind power operators, wind power enterprises of production operation and equipment control get higher requirements. To better control the objective evaluation of the wind power enterprises operation, each enterprise has set up wind power production operation monitoring center to administer wind power enterprises to carry out fine management. Traditionally, wind power production operation monitoring system takes real time database as the underlying data store, and a single hardware as the system background computing resource. However, with the calculation index, especially the increase of data storage, the traditional data storage architecture has already can't satisfy the need of the construction of the current system. This paper proposes the wind power production operation monitoring system design framework based on big data, and on this basis to realize the wind power production operation monitoring, wind power management control indicators, and other functions. The system has been applied in a large wind power operator in China, realized the data storage of fan per second of 600 TB per year, and formed a data center which is suitable for the development of wind power enterprises and has the ability to expand.

Key words

big data of wind farm / monitoring center / production operations / management and control / Hadoop technology

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Shi YIN , Yan CHI , Qile WANG , et al . Wind Power Operation Management and Control Center Based on Big Data[J]. Distributed Energy Resources. 2017, 2(5): 60-64 https://doi.org/10.16513/j.cnki.10-1427/tk.2017.05.010

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Funding

Project supported by National Energy Independent Innovation and Special Projects of Energy Equipment
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