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RADIAL BASIS FUNCTION NEURAL NETWORKS FOR TRANSIENT STABILITY ASSESSMENT PART I: THEORY OF RADIAL BASIS FUNCTION NEURAL NETWORKS

机译:暂态稳定评估的径向基神经网络,第一部分:径向基神经网络的理论

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摘要

Noteworthy strides are currently being taken in the realm of online transient stability assessment (TSA) with the world's first online implementation in a major electric utility in the past year. Such a tool allows the determination of critical contingencies in A short enough time period for use in online conditions. Recent Developments in neural network technology have opened up even Newer possibilities for real-time assessment and control.
机译:当前,在线瞬态稳定性评估(TSA)领域正在取得显着进步,在过去的一年中,全球首次在大型电力公司中实现了在线实施。这样的工具允许在足够短的时间段内确定紧急事件,以用于在线条件。神经网络技术的最新发展为实时评估和控制开辟了新的可能性。

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