基于风电单机数据的弃风电量分析与设备运行评价  

Analysis of Wind Curtailment Component and Evaluation of Wind Power Generating Equipment Based on Wind Turbine Data

作　　者：王靖然 孙荣富 张岩 柳玉 范高锋[3] 梁志峰[3] Wang Jingran Sun Rongfu Zhang Yan Liu Yu Fan Gaofeng Liang Zhifeng(State Grid Jibei Electric Power Co. Ltd. ,Beijing 100053 ,China State Grid Jibei Electric Power Co. Ltd, Research Institute, North China Electric Power Research Institute Co. Ltd., Beijing 100045 ,China State Grid Corporation of China,Beijing 100031 ,China)

机构地区：[1]国网冀北电力有限公司,北京100053 [2]国网冀北电力有限公司电力科学研究院(华北电力科学研究院有限责任公司),北京100045 [3]国家电网公司,北京100031

出　　处：《华北电力技术》2017年第10期13-18,共6页North China Electric Power

摘　　要：对弃风影响因素的准确分析是提高风电消纳能力的基础。以海量风电单机运行数据为基础,开展数据质量分析,在确保数据质量的条件下进行数据的深度挖掘,提出了基于风电单机数据的场外、场内弃风电量精细化评估方法,一方面可精确计算场外、场内不同原因导致的弃风电量,另一方面结合风机故障代码对风机设备停运情况进行分析,查找设备运行薄弱环节。结合我国"三北"地区某省级电网风电场实际运行数据的仿真分析,表明所提方法能够定量分析不同原因导致的弃风电量,找到制约风电消纳的短板,对促进风电消纳具有积极意义。The accurate evaluation of comprehensive wind energy curtailment reason is important to improve the wind power generating capacity. Based on the massive remote measurement and communication data of wind turbine,the data quality analysis is conducted and the evaluation method of wind power utilization is presented. Quantitative analysis of all aspects is illustrated to find the different reasons for wind power curtailment and the constraints of wind power accommodation. The outage of wind turbine is analyzed to achieve the whole process,multi-dimensional,fine closed-loop management. Through quantitative analysis of wind farm data in north China,the dominant factor leading to wind power curtailment is put forward,so the effective rectification could be proposed to enhance the wind power utilization level which has a high positive significance.

关 键 词：风电 单机数据 数据质量分析 弃风电量 设备分析 

分 类 号：TM614[电气工程—电力系统及自动化]