考虑静态电压发电机跟踪特性的基于优化模型的区间潮流分析方法

Dong Qiu, Shaohua Han, Zhaojie Tang, Tengfei Hou
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引用次数: 0

摘要

随着可再生能源大规模接入配电系统,由于其波动性大、间歇性等特点,不确定性问题将更加明显。为了缓解不确定性的影响,静态无功发电机(SVG)常用于跟踪配电系统的无功波动并进行补偿。在此背景下,本文提出了一种基于优化模型的区间潮流方法。该方法利用了SVG的跟踪特性。该方法利用了SVG的线性化特征,并考虑了SVG的跟踪特性,比现有方法更高效、准确。最后,以一个改进的33总线配电系统为例,验证了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An optimization model based interval power flow analysis method considering the tracking characteristic of static voltage generator
With a large scale of renewable energy connected to the distribution system, the problem of uncertainty will become more obvious due to the huge fluctuation and intermittent characteristics. To ease the effects of uncertainty, static var generator (SVG) is often used to track reactive power fluctuations in the distribution system and compensate. Based on this background, an interval power flow method based on an optimization model is presented in this paper. The tracking characteristic of SVG is involved in this method. The presented method is more efficient and accurate than the existing methods due to its linearized features and considering the tracking characteristic of SVG. Finally, a modified 33-bus distribution system is used to demonstrate the effectiveness of the proposed algorithm.
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