摘要
针对独立微电网内源-荷供需量不平衡问题,文章在孤岛状态下的微电网需求侧添加了功率型和能量型相结合的混合储能系统。对微电网内满足功率平衡约束的净负荷功率序列信号使用变分模态分解法(VMD)进行混合储能的优化配置,利用中心频率法结合皮尔逊相关系数(Pearson)确定最优的分解层数,对分解结果采用短时傅里叶变换(STFT)进行时频分析,得出各分量的模态混叠情况,再根据不同类型储能的充放电频率响应特性进行高、低频功率的重构和分配;对分配结果采用可靠容量计算方法配置储能系统的额定容量和功率,计算配置总成本,并以储能元件的荷电状态(State of Charge,SOC)为依据,衡量系统的供电可靠性。通过对比使用经验模态分解法(EMD)和传统一阶低通滤法的研究结果,VMD分解方法能够有效克服EMD的模态混叠现象,同时提高系统配置的经济性及供电可靠性。
To address the source-load supply-demand imbalance within an independent microgrid,a hybrid energy storage system combining power-based and energy-based energy storage is added on the demand side of the islanded state microgrid in this paper.The net load power sequence signal satisfying the power balance constraint within the microgrid is optimally configured for hybrid energy storage using the variational modal decomposition(VMD)method,and the optimal number of decomposition layers is determined,applying the central frequency method combined with Pearson correlation coefficient(Pearson),the decomposition results are analyzed in time-frequency using short-time Fourier transform(STFT)to derive the modal mixing of each component,and then reconstruct and allocate the high and low frequency power according to the charging and discharging frequency response characteristics of different types of energy storage.For the results,the rated capacity and power are configured using the reliable capacity calculation method,calculate the total cost of the configuration,and measure the reliability of the system power supply based on the state of charge(SOC)of the energy storage elements.The results of the comparison between the empirical mode decomposition method(EMD)and the traditional first-order low-pass filtering method show that the VMD decomposition method can effectively overcome the modal mixing phenomenon of EMD,and improve the economy and power supply reliability of the system configuration.
作者
马永翔
唐浦容
闫群民
李宏刚
淡文国
Ma Yongxiang;Tang Purong;Yan Qunmin;Li Honggang;Dan Wenguo(School of Electrical Engineering,Shaanxi University of Technology,Hanzhong 723001,China;Chengdu Water Resources&Electric Power Survey&Design Institute Co.Ltd.,Chengdu 610000,China;Wulanchabu Electricity Bureau,Ulanqab 012000,China)
出处
《可再生能源》
CAS
CSCD
北大核心
2023年第12期1626-1633,共8页
Renewable Energy Resources
基金
国家自然科学基金一般面上项目(No.62176146)。
