经IIWO优化的原子分解算法辨识次同步振荡模态
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摘要
由于传统的线性化方法存在难以有效辨识次同步振荡模态参数的问题,该文提出一种基于改进入侵杂草优化IIWO(improved invasive weed optimization)的阻尼正弦原子分解算法。该方法首先构造过完备阻尼正弦原子库,引入混沌序列初始化的多种群策略、预筛选机制、以及随机变异的扩散机制对入侵杂草优化IWO(inva-sive weed optimization)算法进行改进,利用改进得到的IIWO算法对传统的匹配追踪算法MP(matching pursuit)进行优化,以降低其搜索的时间复杂度。依据优化后的MP算法对信号进行阻尼正弦原子分解,搜索到最佳阻尼正弦原子后将其转换为次同步振荡模态参数,并与Prony的辨识结果进行了对比。仿真算例结果表明,经IIWO优化的阻尼正弦原子分解算法辨识精度较高,且具有良好的时频特性。
Since the existing linearization methods have the problem of identifying subsynchronous oscillation modal in-effectively,the damping sine atomic decomposition based on improved invasive weed optimization(IIWO)algorithmwas proposed in this paper.The complete damping sine atomic library was constructed. The multi-population strategywith initialization of chaotic sequence,preliminary screening mechanism,the diffusion mechanism based on randommutations were introduced into the improved IWO algorithm to optimize the traditional matching pursuit(MP)algo-rithm in order to reduce the time complexity of the search. The optimized MP algorithm was used for damping sine atom-ic decomposition ofthe signal. And then the parameters of the obtained optimal damping sine atomic were converted intosubsynchronous oscillation modal parameters. The identified results indicate that damping sine atomic decompositionoptimized by IIWO has advantages of high identification accuracy and well time-frequency features.
Since the existing linearization methods have the problem of identifying subsynchronous oscillation modal in-effectively,the damping sine atomic decomposition based on improved invasive weed optimization(IIWO)algorithmwas proposed in this paper.The complete damping sine atomic library was constructed. The multi-population strategywith initialization of chaotic sequence,preliminary screening mechanism,the diffusion mechanism based on randommutations were introduced into the improved IWO algorithm to optimize the traditional matching pursuit(MP)algo-rithm in order to reduce the time complexity of the search. The optimized MP algorithm was used for damping sine atom-ic decomposition ofthe signal. And then the parameters of the obtained optimal damping sine atomic were converted intosubsynchronous oscillation modal parameters. The identified results indicate that damping sine atomic decompositionoptimized by IIWO has advantages of high identification accuracy and well time-frequency features.
引文
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[14]王宁,李林川,贾清泉,等(Wang Ning,Li Linchuan,Jia Qingquan,et al).应用原子分解的电能质量扰动信号分类方法(Classification of power quality disturbance signals using atomic decomposition method)[J].中国电机工程学报(Proceedings of the CSEE),2011,31(4):51-58.
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[2]赵睿,李兴源,刘天琪,等(Zhao Rui,Li Xingyuan,Liu Tianqi,et al).抑制次同步和低频振荡的多通道直流附加阻尼控制器设计(Design of multi-channel DC supplementary damping controller for subsynchronous and lowfrequency oscillation suppression)[J].电力自动化设备(Electric Power Automation Equipment),2014,34(3):89-93.
[3]宋述波,袁鹏(Song Shubo,Yuan Peng).贵广直流次同步振荡抑制原理(Principle of restraint SSR about Guizhou-Guangzhou HVDC)[J].继电器(Relay),2007,35(5):21-24.
[4]Padiyar K R,Prabhu N.Investigation of SSR characteristics of unified power flow controller[J].Electric Power Systems Research,2005,74(2):211-221.
[5]付伟,李兴源,洪潮,等(Fu Wei,Li Xingyuan,Hong Chao,et al).基于PRONY辨识的附加最优次同步阻尼控制器设计(Design of optimal supplementary sub-synchronous damping controller based on Prony method)[J].电力系统及其自动化学报(Proceedings of the CSU-EPSA),2008,20(5):10-15.
[6]魏国,张蓓,撒文彬,等(Wei Guo,Zhang Bei,Sa Wenbin,et al).利用加窗FFT和IFFT实现Hilbert变换(Implementation of Hilbert transform by using window-added FFT and IFFT)[J].电力系统及其自动化学报(Proceedings of the CSU-EPSA),2011,23(2):116-121.
[7]李天云,高磊,陈晓东,等(Li Tianyun,Gao Lei,Chen Xiaodong,et al).基于HHT的同步电机参数辨识(Parameter identification of synchronous machine based on Hilbert-Huang transform)[J].中国电机工程学报(Proceedings of the CSEE),2006,26(8):153-158.
[8]胡力,何怡刚(Hu Li,He Yigang).小波-LMBP网络在短期负荷预测中的研究与应用(Research and application of wavelet decomposition and LMBP on short-term power load forecasting)[J].电力系统及其自动化学报(Proceedings of the CSU-EPSA),2010,22(5):46-50.
[9]张氢,陈丹丹,秦仙蓉,等(Zhang Qing,Chen Dandan,Qin Xianrong,et al).杂草算法收敛性分析及其在工程中的应用:Convergence analysis of invasive weed optimization algorithm and its application in engineering)[J].同济大学学报:自然科学版(Journal of Tongji University:Natural Science Edition),2010,38(11):1689-1693.
[10]苏守宝,方杰,汪继文,等(Su Shoubao,Fang Jie,Wang Jiwen,et al).基于入侵性杂草克隆的图像聚类方法(Image clustering method based on invasive weed colonization)[J].华南理工大学学报:自然科学版(Journal of South China University of Technology:Natural Science Edition),2008,36(5):95-100,105.
[11]Chen Zhihua,Wang Shuo,Deng Zhonghua,et al.Tuning of auto-disturbance rejection controller based on the invasive weed optimization[C]//Sixth International Conference on Bio-Inspired Computing.Penang,Malaysia,2011:314-318.
[12]苏守宝,汪继文,张铃,等(Su Shoubao,Wang Jiwen,Zhang Ling,et al).一种约束工程设计问题的入侵性杂草优化算法(An invasive weed optimization algorithm for constrained engineering design problems)[J].中国科学技术大学学报(Journal of University of Science and Technology of China),2009,39(8):885-893.
[13]罗东芳,罗东君(Luo Dongfang,Luo Dongjun).基于杂草算法的DNA编码序列研究(The research of DNA coding sequences based on invasive weed optimization)[J].科学技术与工程(Science Technology and Engineering),2013,13(13):3545-3551.
[14]王宁,李林川,贾清泉,等(Wang Ning,Li Linchuan,Jia Qingquan,et al).应用原子分解的电能质量扰动信号分类方法(Classification of power quality disturbance signals using atomic decomposition method)[J].中国电机工程学报(Proceedings of the CSEE),2011,31(4):51-58.
[15]Mallahzadeh A R,Oraizi H,Davoodi-Rad Z.Application of the invasive weed optimization technique for antenna configurations[J].Progress in Electromagnetics Research,2008,79:137-150.
[16]Kostrzewa D,Josinski H.The Comparison of an Adapted Evolutionary Algorithm with the Invasive Weed Optimization Algorithm Based on the Problem of Predetermining the Progress of Distributed Data Merging Process[M].Berlin:Springer,2009.
[17]杨宣访,王家林(Yang Xuanfang,Wang Jialin).采用Prony与粒子群算法的电力暂态信号分析(Analysis of power system transient signal based on improved Prony algorithm and PSO algorithm)[J].电力系统及其自动化学报(Proceedings of the CSU-EPSA),2015,27(8):25-30.
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