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MVMO

机译:MVMO

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摘要

Accurate estimation of dynamic equivalent parameters from phasor measurement unit (PMU) signal records is crucial to achieve high confidence levels on the underlying simplified models, which should facilitate performing dynamic studies for large-interconnected power systems in near real-time. This paper introduces an alternative approach to this issue based on the swarm implementation of mean-variance mapping optimization (MVMO
机译:从相量测量单元(PMU)信号记录中准确估算动态等效参数对于在底层简化模型上获得高置信度至关重要,这应有助于对大型互连电力系统进行近实时的动态研究。本文介绍了基于均值方差映射优化(MVMO)的群体实现的替代方法

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