基于大数据技术的风电运营指标体系的设计与实现  

Design and Implementation of Wind Power Operation Index System Based on Big Data Technology

作　　者：尹诗 于晓东[2] 李宁[2] 王其乐[1] 张松松 YiN Shi;YU Xiaodong;LiNing;WANG Qiyue;ZHANG Songsong(Zhong Neng Power-tech Development co.,LTD.,the 6th-9 Avenue,Fuchengmen Xieheng District,Beijing 100034,China;North China Electric Power University,No.2 Beinong Road,Changping District,Beijing 102206,China)

机构地区：[1]中能电力科技开发有限公司,北京111034 [2]华北电力大学,北京102206

出　　处：《风力发电》2018年第2期20-24,共5页Wind Power

摘　　要：过去十年，风电产业保持了良好的发展态势，目前已成为当今我同最为主要的可再生能源之一。伴随着风力发电机组装机规模不断扩大，传统的粗放型发展已无法满足肖前风电企业对生产运营及设备管控的要求。为更好的客观评价风电企业运营状况，各大运营商相继建立了一系列指标并通过运营监控中心实现对下辖风电企业的精细化管控。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指标快速计算、实时反馈的需要。文章提出了基于大数据技术的风电运营指标体系的设计，利用大数据平台的高性能的计算能力，通过实时计算和定时触发的形式计算各类指标，并通过大数据挖掘技术将指标定量分析，直至问题根源，从而实现对风电场优化运营策略的指导。In the past ten years, the wind power industry has maintained a good momentum of development and has now become one of the most important renewable energy sources in China today.With the continuous expansion of the wind turbine installation scale, the traditional extensive development has been unable to meet the needs of requirements for production operations and equipment management control of current wind power companies. In order to objectively evaluate the operating status of wind power companies, major operators have successively established a series of indicators and through the operation monitoring center to achieve the fine management and control of the wind power enterprises under its jurisdiction.However, with the increase of computational indicators, especially data storage, the traditional data storage architecture has failed to meet the needs of the rapid calculation and real-time feedback of the current indicators.The article proposes the design of wind power operation index system based on big data technology.Take advantage of the high-performance computing power of big data platforms, calculate various indicators through real-time calculation and timing trigger, and quantitative analysis of indicators through big data mining technology, directly to the source of the problem.In this way, guidance on the optimal operational strategy for wind farms can be achieved.

关 键 词：风电大数据 运营指标体系 HADOOP 数据挖掘 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]