摘要
采用基于风电并网波动标准的自适应小波包分解方法处理风电功率,利用混合储能系统平抑风电并网后的波动分量。将混合储能系统内部功率指令划分与系统容量配置相结合,以储能系统年综合成本最小为目标,建立基于电池寿命量化模型的混合储能容量优化模型,进而通过穷举对比不同功率指令分界点所对应的系统成本确定最优分界点。以某风电场典型日出力数据为例,对最优分界点及其对应的储能配置进行优化分析,仿真结果验证所提方法的技术合理性和经济实用性。
The adaptive wavelet packet decomposition method based on the grid regulations of wind power volatility is used to decompose the wind power,and the fluctuating components after decomposition are stabilized by the hybrid energy storage system(HESS). The power commands distribution inside the HESS is combined with the system capacity allocation to solve jointly. The optimal capacity of the installed HESS based on battery lifetime model is determined,with which the annual cost of the HESS can achieve minimization,and then select the best demarcation point by comparing the system cost of different demarcation points. The best demarcation point and its corresponding energy storage configuration are verified on the typical daily output data of a real wind farm,the results reflect the technical rationality and economic practicability of the proposed method.
作者
丁明
吴杰
张晶晶
Ding Ming;Wu Jie;Zhang Jingjing(Anhui Neu Energy Utilization and Energy Saving hiboratory, Hefei University of Technology, Hefei 230009, China)
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2019年第3期593-599,共7页
Acta Energiae Solaris Sinica
基金
国家重点研发计划(2016YFB0900400)
关键词
风电功率
储能
寿命周期
小波包分解
wind power
energy storage
life cycle
wavelet packet decomposition
