摘要
为提高退役电池梯次利用收益,建立了退役电池平抑新能源功率预测误差模型和改善等效负荷峰谷差模型。首先分析新能源功率预测误差的影响以及新能源波动对等效负荷峰谷差和等效负荷波动率的影响,然后设计退役电池能量管理系统,通过小波包分解方法将低频能量分量分配给退役电池,并根据等效负荷大小确定退役电池充放电时间和功率。最后利用实际算例仿真,结果表明提出的退役电池梯次利用模型可以提高新能源功率预测准确率、改善峰谷特性、降低等效负荷波动率,并大幅提高收益。
To improve the utilization benefits of second-use of retired batteries,this paper establishes a retired battery to stabilize the new energy prediction error model and improve the equivalent load peak-valley difference model.Firstly,the paper analyzes the impact of new energy prediction errors and the impact of fluctuation on the peak-valley difference and the fluctuation rate of the equivalent load;secondly,the paper designs a retired battery energy management system to distribute low-frequency energy components to the retired battery through the wavelet packet decomposition method,and the charge and discharge time and power of the retired battery are determined according to the equivalent load;finally,examples are used for simulation and the results show that the second-use model of retired batteries can improve the accuracy of new energy prediction,improve the peak and valley characteristics,reduce the equivalent load fluctuation rate,and greatly increase the profits.
作者
樊国旗
吕盼
樊国伟
黄健
陈浩
王衡
陈梓翰
FAN Guoqi;LYU Pan;FAN Guowei;HUANG Jian;CEHN Hao;WANG Heng;CHEN Zihan(State Grid Jinhua Power Supply Company,Jinhua Zhejiang 321001,China;State Grid Xinjiang Electric Power Company,Urumqi 830011,China;East China Power Grid Cooperation,Shanghai 200120,China)
出处
《浙江电力》
2021年第3期121-126,共6页
Zhejiang Electric Power
基金
国家重点研发计划项目(2017YFB0902200)。
关键词
退役电池梯次利用
等效负荷波动率
新能源预测准确率
second-use of retired batteries
equivalent load fluctuation rate
new energy prediction accuracy