Optimizing the reactive power balance between a distribution and transmission grid through iteratively updated grid equivalents

F. Marten, Lothar Lower, James Tobermann, M. Braun
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引用次数: 28

Abstract

This paper focuses on a scenario with a high amount of renewable generators (DGs) in the distribution grid; a local grid operator (DSO) utilizes reactive power provision by the DGs, to improve the reactive power balance at the connection points to the transmission grid. At the same time, the transmission grid operator (TSO) aims to optimize his voltage, by computing reactive power setpoints for the DSO. This is a decentralized optimization problem, where two optimizers ("DSO" and "TSO") balance the reactive power flow between their grid areas. No optimizer has detailed information about the neighbouring grid area and uses a very simple equivalent model for it. In case these equivalents are updated iteratively, we find that both optimizers mostly converge within only a few iterations for a realistic Danish grid topology. However, it is also found that the accuracy of the result highly depends on the built-in component models that each optimizer uses, within its own grid area.
通过迭代更新电网当量优化配电网和输电网之间的无功平衡
本文研究了配电网中大量可再生发电机组(dg)的情况;本地电网运营商(DSO)利用dg提供的无功功率来改善与输电网连接点的无功功率平衡。同时,输电网运营商(TSO)的目标是通过计算其无功设定值来优化其电压。这是一个分散优化问题,其中两个优化器(“DSO”和“TSO”)平衡其电网区域之间的无功功率流。没有优化器提供有关相邻网格区域的详细信息,并使用非常简单的等效模型。在迭代更新这些等价的情况下,我们发现对于现实的丹麦网格拓扑,这两个优化器大多只在几次迭代中收敛。然而,也发现结果的准确性高度依赖于每个优化器在其自己的网格区域内使用的内置组件模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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