| Subject | Electrical and Electronic Engineering |
| Specific subject area | Power system reliability analysis |
| Type of data | Tables |
| How data were acquired | By combining power system component data, reliability data, interruption cost data and load demand data with a synthetically generated network model. |
| Data format | Secondary |
| Parameters for data collection | For reliability data: Based on historical data from 1983 to 2005. For interruption cost data: Based on the Norwegian cost of energy supply scheme valid from 2014. For other parts of the data set: Combined from different sources. |
| Description of data collection | Existing power market data set was extended by synthetically generating representative power network data. Data set for reliability analysis was generated by combining representative power system component parameters and reliability statistics based on historical data. |
| Data source location | The data set is compiled by combining multiple sources of primary data as summarized below and described in detail in the Experimental Design, Materials, and Methods section. Primary data source for reliability data: Data for the Norwegian Transmission System Operator (TSO) compiled from statistics collected through the Norwegian standardised system FASIT for collection, calculation and reporting of disturbance and reliability data. Primary data source for operating state data: Load demand measurements in Norway. Primary data source for network model: The network model was inspired by regions of the Nordic power system and generated using power system component data representative for the Norwegian power system. |
| Data accessibility | Repository name: Four-area test network DOI: https://doi.org/10.5281/zenodo.3923916 The raw disturbance and outage data underlying the reliability data set are confidential. |
| Related research article | I. B. Sperstad, E. H. Solvang, and S. H. Jakobsen, ‘A graph-based modeling framework for vulnerability analysis of critical sequences of events in power systems’, International Journal of Electrical Power & Energy Systems, vol. 125, 106408, 2021. DOI: https://doi.org/10.1016/j.ijepes.2020.106408. |