Abstract
Network science enables us to improve the performance of complex systems such as traffic, communication, and power grids. To do so, it is necessary to use a well-constructed flawless network dataset associated with the system of interest. In this study, we present the dataset of the Chilean power grid. We harmonized data from three diverse sources to generate a unified dataset. Through an intensive review on the raw data, we filter out inconsistent errors and unrealistic faults, making the data more trustworthy. In contrast to other network dataset for power grids, we especially focus on preserving the physical structure of nodes’ connection incorporating the ‘tap’ structure. As a result, we provide three different versions of the dataset: ‘with-tap’, ‘without-tap’, and ‘reduced versions’. Along with structure, we incorporate various attributes of the nodes and edges such as the geo-coordinates, voltage of transmission lines, and the time series data of generation or consumption. These data are useful for network scientists to analyze the performance and dynamic stability of power grids.
Highlights
Background & SummaryWith the recent development of network science, power grids have been studied to prevent large-scale blackouts, maintaining the stability of high-voltage transmission systems
Studies on synchronization typically analyze the cascading consequences of malfunction in power-grid systems[1,2,3,4,5,6,7]. These studies rely on network datasets that embody the information of power grids
Real-world power grids are mapped into network structures by performing aggregations and simplifications in order to produce convenient datasets for network analyses
Summary
With the recent development of network science, power grids have been studied to prevent large-scale blackouts, maintaining the stability of high-voltage transmission systems. These studies rely on network datasets that embody the information of power grids This information includes the connection topology of the transmission lines and the characteristics of each power facility: power plants or substations. It is important to use rather realistic network dataset in order to analyze more sophisticated (or realistic) operation issues on the power grids Such a realistic network datasets should keep the detailed characteristics of power components such as capacity of each transmission lines (weight of edges), the amount of electricity consumption or generation of demand and power nodes, respectively, and geological coordinates (attributes of nodes). A tap connection is a short extension line from a facility to the main grid Embedding this tap structure produces a complex connection structure, encompassed by four types of nodes with power plants, substations, taps, and junctions (Fig. 1b). This first, second, and third version of the networks will be referred to as with-tap network (WT), without-tap network (WOT), and without-tap reduced network (WOR)
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