Regionalizing Input Data for Generation and Transmission Expansion Planning Models

Regionalizing Input Data for Generation and Transmission Expansion Planning Models
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对发电和输电扩展规划模型的输入数据进行区域化

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发表时间：
2017
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通讯作者：
V. Heuveline
V. Heuveline
中科院分区：
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文献类型：
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作者：
V. Slednev;Manuel Ruppert;V. Bertsch;W. Fichtner;Nico Meyer;M. Suriyah;T. Leibfried;P. Gerstner;M. Schick;V. Heuveline

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为了支持在电力系统重组的背景下的决策，需要模型，允许一个区域，长期的运营和发电和输电的扩展规划。这些模型的输入数据需要在高的空间和时间粒度。因此，在本文中，我们描述了一种方法，旨在提供区域化的输入数据的发电和输电扩展规划模型。我们特别关注可再生能源和电力负荷的动态分配，以潜在的总线的输电网。遵循自下而上的方法，我们基于各种数据库和模型，以尽可能低的空间分辨率对现有和潜在的分布式发电和负荷进行建模。除了直接连接到输电网的大型发电厂之外，基于相应变电站周围的Voronoi多边形，在配电网级别上对分散的电网连接进行建模。通过简化配电网的负荷流的最短路径问题，我们模型的馈入到传输网络作为一个变量，这取决于最近的可用传输网络连接。因此，在变电站级的电网扩展措施的情况下，在传输电网级的到总线的连接保持可变。
To support decision making in the context of restructuring the power system, models are needed which allow for a regional, long-term operation and expansion planning for electricity generation and transmission. Input data for these models are needed in a high spatial and temporal granularity. In this paper, we therefore describe an approach aimed at providing regionalized input data for generation and transmission expansion planning models. We particularly focus on a dynamic assignment of renewable energy sources and electrical load to potential buses of the transmission grid. Following a bottom up approach, we model the existing and potential distributed generation and load at the lowest possible spatial resolution based on various databases and models. Besides large power plants, which are directly connected to the transmission grid, a decentralized grid connection is modeled on the distribution grid level based on Voronoi polygons around the corresponding substations. By simplifying the load flow over the distribution grid to a shortest path problem, we model the feed-in into the transmission grid as a variable, depending on the nearest available transmission grid connection. As a result, the connection to the buses at transmission grid level is kept variable in case of grid expansion measures at substation level.