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基于改进麻雀算法的多APF协调控制研究

Research on multi APF coordinated control based on improved sparrow search algorithm
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摘要 有源电力滤波器(APF)因其具有快速追踪和消除谐波的功能而广泛应用于配电网中。其中,LCL型APF对高频谐波有更好的抑制能力。随着APF并网数目的日益增多,各APF间的交互影响问题变得不可忽视。针对多APF间的交互影响,首先基于诺顿定理推导了多APF并网等效模型,其次利用广义动态相对增益矩阵(GDRGA)对交互影响进行定量分析,最后将抑制交互影响转化为多目标优化问题。针对传统麻雀算法在搜索后期存在全局寻优能力差、易陷入局部最优的缺陷,引入tent混沌和动态随机柯西变异进行改进,并采用改进麻雀算法对APF各控制参数进行协调优化。结果表明,改进麻雀算法能得到分布更加良好的pareto解集,求解性能更优,多目标优化后能有效抑制APF间的交互影响,验证本文所提方法的有效性。 Active power filter(APF)is widely used in distribution network because of its fast tracking and harmonic elimination function.Among them,LCL type APF has better ability to suppress high frequency harmonics.With the increasing number of APF connected to the grid,the interaction between the APFs can not be ignored.For the problem of interaction among multiple APFs,firstly,the equivalent model of multi APF grid connection is derived based on Norton theorem.Secondly,the interaction is quantitatively analyzed by using the generalized dynamic relative gain array(GDRGA).Finally,the suppression of interaction is transformed into a multi-objective optimization problem.In view of the defects of traditional sparrow algorithm,such as poor global optimization ability and easy to fall into local optimization,tent chaos and dynamic random Cauchy mutation are introduced to improve,and the improved sparrow algorithm is used to coordinate and optimize the control parameters of APF.The results show that the improved sparrow algorithm can get pareto solution sets with better distribution and better performance.After multi-objective optimization,the interaction between APFs can be effectively suppressed,which verifies the effectiveness of the proposed method.
作者 张涛 王清川 陶然 黄明娟 刘伉 Zhang Tao;Wang Qingchuan;Tao Ran;Huang Mingjuan;Liu Kang(College of Electrical Engineering and New Energy,China Three Gorges University,Yichang 443002,China;Hubei Provincial Engineering Research Center of Intelligent Energy Technology,Three Gorges University,Yichang 443002,China)
出处 《电子测量技术》 北大核心 2023年第13期32-38,共7页 Electronic Measurement Technology
基金 国家自然科学基金(52007103)项目资助
关键词 LCL型APF 交互影响 广义动态相对增益矩阵 动态随机柯西变异 改进麻雀优化算法 LCL type APF interaction generalized dynamic relative gain matrix dynamic random Cauchy variation improved sparrow search algorithm
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