中国电力2024，Vol.57Issue(7)：82-97,16.DOI:10.11930/j.issn.1004-9649.202403025
基于VMD分解下的皮尔逊相关性分析及T-tFD的混合储能容量配置
Allocation of Hybrid Energy Storage Capacity Based on Pearson Correlation Analysis and T-tFD Algorithm under VMD Decomposition
摘要
Abstract
In the context of rapid development of clean energy,the stochasticity and volatility of wind power output have significant impacts on the stability of power system,so wind power fluctuation smoothing is a basic problem for the current clean energy development.A hybrid energy storage capacity allocation strategy based on SCNGO-VMD is proposed to smooth wind power fluctuations.After variational mode decomposition(VMD)of the wind power parameter optimization,the Pearson correlation analysis is used to judge the boundary points of strong and weak correlation,and the grid-connected power and hybrid energy storage power are obtained after two allocations;The hybrid energy storage power is allocated based on T-test frequency division(T-tFD)algorithm,and the capacity configuration of battery/ultra-capacitor is obtained.Based on this strategy,the annual comprehensive cost of energy storage components is used as the model to evaluate the economics through case study.And the fluctuation of grid-connected power and the superiority of the SCNGO are analyzed.The results show that the energy storage capacity allocation strategy based on SCNGO-VMD can effectively smooth wind power fluctuations.The maximum fluctuation of the smoothed grid-connected power for 1 minute and 10 minutes is only 18.2%and 45.52%of the national requirements,and the corresponding energy storage configuration cost is the lowest among traditional configuration strategies.The configured hybrid energy storage capacity is more economical.Meanwhile,it is verified that the SCNGO is superior to the traditional intelligent optimization algorithm in iteration speed and accuracy.关键词
混合储能/容量配置/变分模态分解/北方苍鹰算法/皮尔逊相关性分析/t检验Key words
hybrid energy storage/capacity allocation/variational mode decomposition/northern goshawk optimization/Pearson correlation analysis/t-test引用本文复制引用
刘抒睿,李培强,陈家煜,郭雅诗..基于VMD分解下的皮尔逊相关性分析及T-tFD的混合储能容量配置[J].中国电力,2024,57(7):82-97,16.基金项目
国家重点基础研究发展计划资助项目(2021YFB2601504) （2021YFB2601504）
国家自然科学基金资助项目(52377097). This work is supported by National Key Basic Research Program of China(No.2021YFB2601504)and National Natural Science Foundation of China(No.52377097). （52377097）
