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An Estimation Method of Available Transfer Capabilities from Viewpoint of Power System Transient Stability under Deregulated Environment

机译:管制环境下从电力系统暂态稳定角度看可用输电能力的估算方法

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摘要

To conduct electric power transactions effectively and to operate a power system efficiently while maintaining reliability under the deregulated environment, it is required that ATC (Available Transfer Capability) be calculated at high speed and with reasonable precision. In order to address this issue, in this paper, an Artificial Neural Network-based estimation method for evaluating Maximum Transmission Capability (MTC), which is a key step but also a highly time consuming process in ATC, is proposed. It is confirmed through simulation studies that the proposed method is capable of estimating MTC (ATC) with high speed and sufficient precision. Furthermore, the authors examined the reduction of calculation time at learning by using the transient stability index.
机译:为了有效地进行电力交易并有效地操作电力系统,同时在解除管制的环境下保持可靠性,要求以合理的精度高速计算ATC(可用传输能力)。为了解决这个问题,本文提出了一种基于人工神经网络的评估最大传输能力(MTC)的估计方法,该方法是ATC的关键步骤,也是一个非常耗时的过程。通过仿真研究证实,该方法能够快速,准确地估计MTC(ATC)。此外,作者还研究了使用瞬态稳定性指标来减少学习时的计算时间。

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