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作 者:崔鑫 赵宇[1] 谭茹雪 付宇欣 陈泽西 许国瑞[1] 赵海森[1] CUI Xin;ZHAO Yu;TAN Ruxue;FU Yuxin;CHEN Zexi;XU Guorui;ZHAO Haisen(School of Electrical and Electronic Engineering,North China Electric Power University,Beijing,102206,China;State Grid Beijing Electric Power Co.,Ltd.,Beijing 100032,China)
机构地区:[1]华北电力大学电气与电子工程学院,北京昌平102206 [2]国网北京电力有限公司,北京100032
出 处:《智慧电力》2025年第4期20-28,共9页Smart Power
基 金:国家重点研发计划资助项目(2023YFB2406801)。
摘 要:针对风光储系统中混合储能(HESS)类型和功率分配局限于“1能量型+1功率型”两模态的问题,提出一种实现多模态HESS选型及功率分配的方法。首先,考虑各类指标合并效果,基于效用并合-组合赋权优劣距离法(TOPSIS)实现HESS选型;然后,对风光复合功率进行滤波得到储能参考功率,采用改进冠豪猪算法(ICPO)优化的改进自适应噪声完备集合经验模态分解法(ICEEMDAN)将其分解为不同幅频段,依据相对熵进行功率重构并分配给最优选型的各模态储能。最后,通过算例验证了所提选型及功率分配方法在发挥各模态储能特性方面的有效性。To address the limitation of conventional hybrid energy storage system(HESS)configurations and power allocation methods in wind-PV-storage systems,which are typically restricted to a"1 energy-type+1 power-type"dual-modal framework,this paper proposes a method for achieving multi-modal HESS configuration and power allocation.First,considering the integration effects of various indicators,the utility consolidation-combined weighting technique for order of preference by similarity to ideal solution(TOPSIS)is employed to optimize HESS configuration.Subsequently,the composite wind-PV power is filtered to obtain the reference power for energy storage.An improved crested porcupine optimizer(ICPO)-enhanced improved complete ensemble empirical mode decomposition with adaptive noise(ICEEMDAN)method is utilized to decompose the reference power into different amplitudefrequency bands.Power reconstruction based on relative entropy is then performed to allocate the power to optimally configured multimodal energy storage units.Finally,case studies validate the effectiveness of the proposed configuration and power allocation method in leveraging the characteristics of multi-modal energy storage systems.
分 类 号:TM711[电气工程—电力系统及自动化]
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