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基于SG-IDDBO-VMD的风光互补复合波动平抑策略 被引量:2

Strategy on Wind-solar Complementary Composite Fluctuation Smoothing Based on SG-IDDBO-VMD
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摘要 针对风光电场出力波动性冲击电网稳定运行问题,该文提出一种考虑风光互补特性的混合储能平抑复合功率波动策略。该方法基于风光发电系统,在满足功率波动限值基础上通过Savitzky-Golay(SG)滤波算法分离并网功率与混合储能功率。考虑分解余量产生的影响,对混合储能功率进行两阶段变分模态分解(variational mode decomposition,VMD),其中VMD参数由改良蜣螂优化算法(improved Dung Beetle optimization,IDDBO)得出,同时结合互信息熵判断高低频率分界点并完成重构,从而得到超级电容与蓄电池功率。基于此策略,以混合储能年综合成本最低为目标,计及混合储能系统约束条件优化储能容量,并通过典型日进行验证。结果表明,所提策略能够更精确地分配储能分量,实现不同形式储能优势互补,同时能有效平滑并网功率,提高电网稳定性。 To address the problem of power fluctuations from wind and solar farms impacting the stability of power grids,a hybrid energy storage strategy is proposed considering the complementary characteristics of wind and solar energy to mitigate composite power fluctuations.The method is based on wind-solar power generation systems and utilizes the Savitzky-Golay(SG)filtering algorithm to separate grid-connected power from hybrid energy storage power while adhering to power fluctuation limits.Considering the effects of residual,a two-stage variational mode decomposition(VMD)is applied to the hybrid energy storage power,with VMD parameters determined by the improved Dung Beetle optimization(IDDBO).Meanwhile,the high-low frequency division points are determined by using mutual information entropy,and reconstruction is conducted to obtain the power of supercapacitors and batteries.Based on this strategy,the objective function is set to minimize the annual integrated cost of hybrid energy storage,with consideration of the constraints of the hybrid energy storage system to optimize storage capacity,and the approach is validated with typical daily operations.The results indicate that the proposed strategy can more accurately allocate energy storage components,harnessing the complementary advantages of different forms of energy storage.Additionally,it effectively smooths out grid-connected power fluctuations,thereby enhancing grid stability.
作者 汪茹康 王健 徐钢 邓振宇 张真 WANG Rukang;WANG Jian;XU Gang;DENG Zhenyu;ZHANG Zhen(North China Electric Power University College of Energy,Power and Mechanical Engineering,Changping District,Beijing 102206,China;State Grid Qinghai Electric Power Company Power Dispatch Control Center,Xining 810001,Qinghai Province,China)
出处 《中国电机工程学报》 北大核心 2025年第16期6314-6325,I0015,共13页 PROCEEDINGS OF THE CHINESE SOCIETY FOR ELECTRICAL ENGINEERING
基金 国家自然科学基金(重点项目)(52090064)。
关键词 波动平抑 混合储能 蜣螂优化算法 变分模态分解 风光互补 fluctuation smoothing hybrid energy storage Dung Beetle optimization algorithm variational modal decomposition wind-solar complementarity
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