Descriptive Statistical Analysis of Frequency control-related variables of Nordic Power System
Peer reviewed, Journal article
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Original versionM. N. Acosta, M. A. Andrade, E. Vazquez, F. Sanchez, F. Gonzalez-Longatt, & J. L. Rueda. (2020). Descriptive Statistical Analysis of Frequency control-related variables of Nordic Power System. 2020 IEEE Power & Energy Society General Meeting (PESGM). https://doi.org/10.1109/PESGM41954.2020.9282021
This paper presents a descriptive statistical analysis (DSA) of time-series of electro-mechanical quantities related to the frequency control (e.g. kinetic energy (KE), electrical frequency and power demand) of the Nordic power system (NPS). The idea of the DSA is to identify main observables features and patterns between these variables. Historical data publicly available has been used in this research paper; pre-processing included evaluating and identify missing data, and it filled by using the linear interpolation. The DSA uses descriptive statistical indicators to obtaining observable features. The dispersion analysis is used to observes how affects the KE to the electrical frequency. The data is grouped by weeks, days and hours, and its correlation coefficient was calculated. A correlation analysis between the KE and the power demand was computed, and the linear regression was used to construct a prediction model.