Impacts of DGs in Active Distribution Network Considering Bi-Directional Power Flow and Carbon Emission Flow Theory

Zhaoyuan Chai, Xinwei Shen, Hongbin Sun
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Abstract

Power grid is facing a low-carbon transition and the carbon emission flow (CEF) theory has become a useful tool to simulate the carbon consumption clearly. Studies have shown that when distributed generators (DGs) connected to distribution network, assuming that either node receives power flow only from the upstream node, the carbon intensity (CI) of downstream node would be affected. However, the carbon intensity of the upstream node is also affected if there is a bi-directional power flow in the system. This article focuses on the impacts of DGs in active distribution network (ADN). By utilizing the graph and data from revised IEEE 33 bus system, we are capable of not only analyzing bi-direction power flow with corresponding CEF in ADN, with case studies illustrating the CI of each node and the line with reverse power flow, but also proposing a simple optimal dispatch model considering CEF modeling, which could be solved without iterative method thus distinguish from previous research on this issue.
考虑双向潮流和碳排放流理论的有功配电网dg的影响
电网正面临低碳转型,碳排放流理论已成为清晰模拟电网碳消耗的有效工具。研究表明,当分布式发电机(dg)接入配电网时,假设任一节点仅从上游节点接收潮流,将会影响下游节点的碳强度(CI)。但是,如果系统中存在双向潮流,上游节点的碳强度也会受到影响。本文主要研究了dg对有源配电网(ADN)的影响。利用修订后的IEEE 33总线系统的图形和数据,我们不仅分析了ADN中对应CEF的双向潮流,并通过实例说明了每个节点的CI和反向潮流的线路,而且还提出了一个考虑CEF建模的简单的最优调度模型,该模型可以不使用迭代方法求解,从而区别于以往的研究。
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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