摘要
从风电机组的小信号分析模型出发,推导得出机组的滤波特性;再从国家风电并网标准角度出发,通过对比分析常用的低通滤波算法、滑动平均法和小波包分析法的特点,提出小波包低通滤波算法的平滑控制策略,在满足并网标准的同时减少电池荷电状态SOC的变化幅值和充放电次数,延长电池使用寿命。用实际风电场出力数据进行仿真,结果表明所提控制策略可以在满足风功率波动指标的基础上取得良好的SOC控制效果。
The filtering characteristic of wind turbine is deduced at first through small signal analysis method.And then by comparing and analyzing the characteristics of common low-pass filtering algorithm,moving average method and wavelet packet analysis method,the smoothing control strategy of the wavelet packet low pass filtering algorithm is proposed according to the demands of national grid code for wind power integration.This control strategy can not only meet the requirements of the national wind power integration standards but also reduce the SOC volatility of battery and charging and discharging numbers so as to extend the battery’s life time.Finally,practical wind power data is used in Matlab simulation.The results show that proposed control strategy can meet the wind power fluctuation index meanwhile get good SOC control effect.
作者
李征
陈佳瑜
石坤
Li Zheng;Chen Jiayu;Shi Kun(College of Information Science and Technology,Donghua University,Shanghai 201620,China)
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2020年第4期184-193,共10页
Acta Energiae Solaris Sinica
基金
上海市自然科学基金(14ZR1400700)。
