Modal Parameter Identification of SSO Based on Damping Sine Atomic Decomposition Optimized by Improved IWO

doi:10.11930/j.issn.1004-9649.2016.01.075.05

Abstract

Abstract: Since the existing linearization method can’t effectively identify subsynchronous oscillation modal, the damping sine atomic decomposition based on improved Invasive Weed Optimization (IWO) algorithm is proposed. The complete damping sine atomic library that represents subsynchronous oscillation signal is constructed. The chaotic sequence, selection mechanism, Niche classification strategy, and vector tracing ideas are introduced into the improved IWO algorithm to optimize the traditional matching pursuit(MP) algorithm. The optimized MP algorithm is used for damping sine atomic decomposition of subsynchronous oscillation signal. And then the parameters of the obtained optimal damping sine atomic are converted into subsynchronous oscillation modal parameters. The identified results indicate that the damping sine atomic decomposition optimized by improved IWO has advantages of good time-frequency features and high identification accuracy. And it is applicable to the disturbance source localization, fault diagnosis and other fields.

Key words: power system, subsynchronous oscillation, damping sine atomic decomposition, identification, modal parameter, improved invasive weed optimization algorithm, time frequency characteristics

CLC Number:

TM712

ZHENG Zhiping, WU Jun, YANG Wugai, CEN Bingcheng, KE Lina. Modal Parameter Identification of SSO Based on Damping Sine Atomic Decomposition Optimized by Improved IWO[J]. Electric Power, 2016, 49(1): 75-79.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.2016.01.075.05

https://www.electricpower.com.cn/EN/Y2016/V49/I1/75

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