风电功率相关性分析  

Wind power correlation analysis

作　　者：唐志伟[1] 李国杰[2] 孙旭日 汪宁渤[4] 王建东[4] 

机构地区：[1]国网浙江省电力公司检修分公司,浙江杭州311200 [2]电力传输与功率变换控制教育部重点实验室上海交通大学电气工程系,上海200240 [3]山东聊城供电公司,山东聊城252000 [4]甘肃省电力公司风电技术中心,甘肃兰州730050

出　　处：《电工电能新技术》2014年第5期69-75,共7页Advanced Technology of Electrical Engineering and Energy

基　　金：国家高技术研究发展计划863计划资助项目(2012AA050204);国家自然科学基金资助项目(50977050)

摘　　要：通过对风电功率的相关性分析，可更加直接地掌握风电场、风电场群、风电基地三个层次的互补特性，对风电基地规划、电网的安全稳定运行都有着重要的指导意义。本文利用酒泉地区风电场的实测功率数据，通过相关系数法研究风电场、风电场群和风电基地在1～10 h三种不同时间尺度的风电功率相关性，研究功率相关性随不同时间尺度的变化规律。最后利用时移数据的相关系数法分析风电场、风电场群的功率上下游关系，其结果与地理分布情况一致。As wind power is developing rapidly, the integration of wind fpower causes a large challenge to power systems. Unlike traditional thermal power generation, wind power is fluctuated and random. Thus, it is very impor-tant to understand the characteristics of wind power. This paper investigates wind power correlation based on practi-cal data. In this study, complementary characteristics of wind farms, wind farm groups, and wind farm bases will be obtained through correlation analysis of wind power. And this is beneficial for planning, security and stability of power grids. Based on practical wind power data in Jiuquan wind base, correlation among wind farm groups and wind power base in different time dimension from 1 h to 10 h has been analyzed through the correlation coefficient method in this paper. Thus, variation rule of wind power correlation along with the time dimension has also been analyzed. And the relationships between the upstream and downstream wind farms and wind farm groups have also been obtained by analyzing the correlation coefficient of time-delay data, which is consistent with geological infor-mation.

关 键 词：酒泉风电基地 风电功率 相关系数 上下游关系 

分 类 号：TM725[电气工程—电力系统及自动化]