| 引用本文: | 董飞飞,刘涤尘,廖清芬,岑炳成,孙文涛,宋春丽,赵一婕.基于IBBO的原子分解算法在次同步振荡抑制中的应用[J].电力自动化设备,2014,34(6): |
| DONG Feifei,LIU Dichen,LIAO Qingfen,CEN Bingcheng,SUN Wentao,SONG Chunli,ZHAO Yijie.Application of IBBO-based atomic decomposition algorithm in subsynchronous oscillation suppression[J].Electric Power Automation Equipment,2014,34(6): |
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| 摘要: |
| 针对传统的线性化方法难以有效辨识次同步振荡模态的问题，提出一种基于改进生物地理学优化（IBBO）的阻尼正弦原子分解算法。该方法在过完备阻尼正弦原子库的基础上，通过将余弦迁移模型、改进迁移算子以及混沌变异策略引入到IBBO算法对传统的匹配追踪算法进行优化，降低其搜索的时间复杂度。依据优化后的匹配追踪算法对次同步振荡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原子参变量转换成次同步振荡模态参数。在此基础上，采用改进粒子群优化算法并根据辨识得到的参数，设计SVC次同步振荡阻尼控制器。仿真结果表明，所提算法具有良好的时频特性以及辨识精度高的优势，同时验证了该算法在SVC次同步振荡阻尼控制器设计中的可行性和所设计控制器的有效性。 |
| 关键词: 电力系统 次同步振荡 阻尼正弦原子分解 IBBO算法 模态辨识 静止无功补偿器 次同步阻尼控制器 |
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| 基金项目:国家高技术研究发展计划（863计划）项目（2011AA05A119）；国家电网公司大电网重大专项资助项目课题（SGCC -MPLG029 -2012）；中央高校基本科研业务费专项基金资助项目（2012207020207） |
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| Application of IBBO-based atomic decomposition algorithm in subsynchronous oscillation suppression |
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DONG Feifei, LIU Dichen, LIAO Qingfen, CEN Bingcheng, SUN Wentao, SONG Chunli, ZHAO Yijie
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School of Electrical Engineering，Wuhan University，Wuhan 430072，China
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| Abstract: |
| A damping sine atomic decomposition algorithm based on IBBO（Improved Biogeography-Based Optimization） is proposed to effectively identify the subsynchronous oscillation mode，which，based on the complete damping sine atomic library，introduces the cosine migration model，improved migration operator and chaos mutation strategy into IBBO algorithm to optimize the traditional matching pursuit algorithm for reducing the time complexity of its searching process. The optimized matching pursuit algorithm is used in the damping sine atomic decomposition of subsynchronization oscillation signal and the atomic parameters are converted into the modal parameters of subsynchronization oscillation after the optimal damping sine atom is searched. The improved particle swarm optimization algorithm is applied to design the SVC（Static Var Compensator） subsynchronization oscillation controller according to the identified parameters. Simulative results show that，the proposed algorithm has excellent time-frequency characteristics and high identification precision，it is applicable in the design of SVC subsynchronization oscillation controller，and the designed controller is effective. |
| Key words: electric power systems subsynchronous oscillation damping sine atomic decomposition improved biogeography-based optimization algorithm modal identification static var compensator subsynchronous damping controller |
