摘要
针对高比例分布式光伏就地消纳的需求与电-氢混合储能在波动平抑中存在的功率分配机理不明确导致容量配置经济性差等问题,本研究应用粒子群优化算法参数优化的变分模态分解(PSO-VMD)技术,提出一种基于动态功率分配系数的电-氢混合储能容量优化配置方法,实现电-氢储能的协同互补。首先,利用VMD将混合储能功率分解,并通过PSO确定模态个数和惩罚因子的最优值;其次,针对选定高低频分界点容易导致配置结果不合理的问题,引入功率分配系数刻画波动分量与混合储能分配之间的映射关系;然后,以系统总成本最小为目标,构建混合储能容量配置优化模型,得到同时满足小时-季节波动平抑需求的混合储能配置方案;最后,以某工业园区电-氢混合储能系统为研究对象进行算例分析。结果表明:采用PSO-VMD分解有效改善了模态混叠问题,避免了主观因素的影响;引入功率分配系数实现了混合储能功率的精确分配,与传统策略和固定分界点相比,本研究所提策略实现了“电储能短时平抑+氢储能跨季调节”的协同调度,使系统总成本分别降低13.9%和2.9%。
To address the supply-demand mismatches and coordination inefficiencies in hybrid electric-hydrogen energy storage systems with high voltaic penetration,this study employs the particle swarm optimization-based variational modal decomposition(PSO-VMD)technique to optimally allocate energy storage capacity based on dynamic power allocation coefficients,achieving synergistic complementarity between electric and hydrogen energy storage.First,the hybrid energy storage power is decomposed using VMD,and the optimal values of the number of modes and the penalty factor are determined by PSO.Second,to address the problem that the selected high-and low-frequency demarcation points can easily lead to unreasonable allocation results,the power allocation coefficients are introduced to describe the mapping relationship between the fluctuation components and the hybrid energy storage allocation.Then,to minimize the total cost of the system,the optimization model for the hybrid storage capacity allocation is constructed to obtain a hybrid energy storage allocation scheme that simultaneously satisfies hourly-seasonal fluctuations.To verify the effectiveness of the method,a typical industrial park is selected to conduct the empirical study,and the results show that compared with the conventional empirical modal decomposition(EMD)and fixed-parameter VMD decomposition methods,PSO-VMD effectively improves the problem of mode aliasing and mitigates the influence of subjective factors.The power allocation mechanism established through the dynamic allocation coefficient significantly improves the capacity utilization rate of electric energy storage and hydrogen energy storage,and eventually forms a cooperative scheduling mode of"electric energy storage undertakes high-frequency short-term fluctuation smoothing+hydrogen energy storage dominates low frequency long-cycle energy transfer."Compared with the conventional control strategy-based scheme and the fixed demarcation point hybrid energy storage scheme,the total life cycle cost is significantly reduced by 13.9%and 2.9%,respectively,which verifies the technical and economic advantages of the proposed method in enhancing the capacity of new energy consumption and optimizing the allocation of energy storage resources.
作者
荆锴
吴依梦
陈玮祺
陈哲
JING Kai;WU Yimeng;CHEN Weiqi;CHEN Zhe(School of Electrical Engineering,Hebei University of Technology,Tianjin 300401,China;State Key Laboratory of Intelligent Power Distribution Equipment and System,Tianjin 300401,China;Aalborg University,Aalborg 9220,Denmark)
出处
《储能科学与技术》
北大核心
2025年第12期4644-4653,共10页
Energy Storage Science and Technology
基金
河北省省级科技计划资助项目(24464401D)。
关键词
混合储能系统
变分模态分解
容量配置
功率分配
粒子群优化算法
hybrid energy storage systems
variational mode decomposition
capacity configuration
power distribution
particle swarm optimization algorithm
