基于大数据的风电生产运营监控系统设计与实现

尹诗; 迟岩; 王其乐; 王寅生; 何伟

doi:10.16513/j.cnki.10-1427/tk.2017.05.010

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分布式能源 ›› 2017, Vol. 2 ›› Issue (5) : 60-64. DOI: 10.16513/j.cnki.10-1427/tk.2017.05.010

应用技术

基于大数据的风电生产运营监控系统设计与实现

作者信息 +

Wind Power Operation Management and Control Center Based on Big Data

Author information +

文章历史 +

摘要

随着风力发电机组装机规模不断扩大，风电企业对生产运营及设备管控提出了更高的要求。为更客观地评价风电企业运营管控状况，各大运行商相继建立了风电生产运营监控中心，以实现对下辖风电企业进行精细化管理。传统风电生产运营监控系统以实时数据库作为底层数据存储，以单台硬件作为系统后台计算资源；但是，伴随着计算指标，尤其数据存储的增加，传统的数据存储架构已满足不了当前系统建设的需要。提出基于大数据的风电生产运营监控系统设计架构，并在此基础上实现风电生产运营监控、经营管控指标计算等功能。国内某大型风电运营商已应用该系统，实现了每年600 TB的秒级风机数据存储，形成了适合风电企业发展需要并具有扩展能力的数据中心。

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.

导出引用

尹诗, 迟岩, 王其乐, 等. 基于大数据的风电生产运营监控系统设计与实现[J]. 分布式能源. 2017, 2(5): 60-64 https://doi.org/10.16513/j.cnki.10-1427/tk.2017.05.010

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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