配电系统中分布式发电机的选型和选址的复杂网络方法

S. Pahwa, D. Weerasinghe, C. Scoglio, R. Miller
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引用次数: 12

摘要

随着智能电网的出现,长距离电力传输的挑战以及能源生产的安全和独立需求,分布式能源的使用变得越来越重要。在本文中,我们提出了一种分析方法,利用电力中心性来确定分布式发电机在配电系统中的位置和尺寸。电力中心性是一种用于电力系统拓扑分析的度量,它将系统的电气结构与其拓扑结构区分开来。它使用配电系统的Zbus矩阵来确定哪些节点在电力上对系统更为中心,并指出它们是分布式发电机放置的最佳位置,发电机的大小与节点的中心性有关,但由穷举搜索决定。假设所有的发电都是由分布式发电机提供的。我们用这种方法得到了12节点、33节点和69节点配电系统的结果。结果表明,电中心性所指示的位置要么是网络不同分支的末端节点,要么是更靠近末端节点的节点。通常,终端节点是电压下降的节点。因此,这种分布式发电机的放置无疑纠正了电压分布。这种布局成功地使整个系统的损耗非常小,从分布式发电机布局前后得到的最优潮流解可以看出。
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A complex networks approach for sizing and siting of distributed generators in the distribution system
The use of distributed energy is gaining more importance with the advent of the smart grid, challenges of power transfer over long distances and the need to be secure and independent in energy production. In this paper, we present an analytical method, using electrical centrality, to determine the locations and sizes of distributed generators to be placed in the distribution system. Electrical centrality is a metric used in the topological analysis of power systems, that differentiates the electrical structure of the system from its topological structure. It uses the Zbus matrix of the distribution system to determine which nodes are electrically more central to the system and indicates them as the best locations for the placement of distributed generators, with the size of the generator related to the centrality of the node but decided by exhaustive search. It is assumed that all the generation is supplied through distributed generators. We obtain the results for the 12-, 33-, and 69-node distribution systems using this method. The results indicate that the locations indicated by electrical centrality are either the end nodes or nodes closer to the end nodes in the different branches of the networks. Generally, the end nodes are the ones where the voltage drops. As a result, this placement of distributed generators definitely corrects the voltage profile. This placement successfully makes the overall system losses very small as is seen from the optimal power flow solution obtained before and after the distributed generator placement.
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