A Carbon Emission Reduction Method for Distribution Network with Data Centers

Z. Cui, Jian Chen, Haoran Zhao
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引用次数: 1

Abstract

With a large number of renewable energy connected to the grid, the inherent constraints of node voltage, line power flow upper limit and so on in the distribution network make it impossible for surplus renewable energy to be completely transmitted to the transmission network, resulting in a waste of renewable energy and increasing the overall carbon emissions of the system. In view of this phenomenon, this paper first models the distribution network and data center, embeds the economic optimization of the data centers into the carbon emission reduction optimization problem through KKT conditions. The data load distribution of the data center is guided by the electricity price information, and the data load is transferred in space, so that the renewable energy of the distribution network can be fully utilized and the total carbon emissions of multiple distribution networks can be reduced. Finally, an example is given to verify the effectiveness of the proposed method.
一种数据中心配电网碳减排方法
随着大量的可再生能源并网,配电网中固有的节点电压、线路潮流上限等约束,使得多余的可再生能源无法完全输送到输电网中,造成了可再生能源的浪费,增加了系统的整体碳排放量。针对这一现象,本文首先对配电网和数据中心进行建模,通过KKT条件将数据中心的经济优化嵌入到碳减排优化问题中。数据中心的数据负荷分布以电价信息为指导,在空间上进行数据负荷传递,使配电网的可再生能源得到充分利用,减少多个配电网的碳排放总量。最后通过一个算例验证了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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