CAJ | 학술논문

风电功率具有波动性和间歇性，大规模风电并网对电网运行产生不利影响。主要对风电功率波动特性进行分析。基于数字信号处理，将风电功率数据作为数字信号进行处理。通过自相关系数分析发现风电功率数据具有一定的周期性。利用有限傅里叶分解提取日周期分量，并从能量角度分析了日周期分量在不同时间尺度和不同装机容量下的分布特性。日周期分量在风电功率中所占比例随时间和空间的不同发生变化。时间段越长日周期分量所占比例越小；随着风电场数量的增加，日周期分量所占比例将明显增加。
풍전공솔구유파동성화간헐성，대규모풍전병망대전망운행산생불리영향。주요대풍전공솔파동특성진행분석。기우수자신호처리，장풍전공솔수거작위수자신호진행처리。통과자상관계수분석발현풍전공솔수거구유일정적주기성。이용유한부리협분해제취일주기분량，병종능량각도분석료일주기분량재불동시간척도화불동장궤용량하적분포특성。일주기분량재풍전공솔중소점비례수시간화공간적불동발생변화。시간단월장일주기분량소점비례월소；수착풍전장수량적증가，일주기분량소점비례장명현증가。
Wind power is fluctuating and intermittent. Large scale wind power integration has an adverse impact on the power grid operation. This paper analyzes the characteristics of wind power fluctuations. It takes the wind power data as digital signal to process, based on digital signal processing. By means of analyzing autocorrelation coefficient, we find that fluctuation has a certain periodicity. Day periodicity component is extracted though finite Fourier decomposition. From the energy point of view, day periodicity component distribution is analyzed in different time scales and different installed capacity. The proportion of the periodic component changs with time and space of wind power. The longer the time period, the periodic component proportion is smaller. Along with the increase of the number of wind farms, periodic component proportion will increase signigicantly.