用连续潮流和非线性规划技术计算最大荷载点的混合方法

M. Bedriñana, D. Bedoya, Carlos A. Castro
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引用次数: 1

摘要

最大负荷点的计算对电力系统的运行和控制至关重要,目前提出了几种计算方法。连续负荷潮流(CLF)具有很强的鲁棒性,可以绘制PV曲线,也可用于计算最大负荷潮流。然而,它也存在一些缺点,在某些情况下,该过程可能会出现偏差,并且对于某些网络来说,它是非常保守的,需要多次迭代。最近又提出了另一种利用非线性规划(NLP)的有效方法。该方法具有明显的优势,因为该过程的方向与MLP一致。本文提出了一种基于CLF和NLP的方法。其思想是将CLF的一些特征与NLP的特征相结合来计算MLP。通过这种组合,可以更准确、更高效地评估MLP。通过对不同系统(包括IEEE测试系统)的仿真来评估该方法的性能。本文还对两种方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hybrid Method for Calculating the Maximum Loading Point using Continuation Load Flow and Nonlinear Programming Techniques
The computation of the maximum loading point (MLP) is crucial to power systems operation and control, There are several methodologies proposed to compute it. The continuation load flow (CLF) is very robust, widely known to draw PV curves, and can be also used for computing the MLP. However it has some drawbacks, the procedure may diverge for some cases and it is very conservative for some networks, taking many iterations. Other efficient technique using nonlinear programming (NLP) has been proposed recently. This method presents clear advantages due to the orientation of the process in direction to the MLP. This paper presents a method based on the CLF and NLP. The idea is to compute the MLP taking some features of the CLF combined with characteristics of NLP. With this combination the MLP can be evaluated with more accuracy and efficiency. Simulations for different systems including IEEE test systems are shown to evaluate the performance of the method. Some comparisons of the methodologies are also shown.
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