CAJ | 학술논문

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。
통과대풍전공솔적상관성분석，가경가직접지장악풍전장、풍전장군、풍전기지삼개층차적호보특성，대풍전기지규화、전망적안전은정운행도유착중요적지도의의。본문이용주천지구풍전장적실측공솔수거，통과상관계수법연구풍전장、풍전장군화풍전기지재1～10 h삼충불동시간척도적풍전공솔상관성，연구공솔상관성수불동시간척도적변화규률。최후이용시이수거적상관계수법분석풍전장、풍전장군적공솔상하유관계，기결과여지리분포정황일치。
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.