Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Characterization of Hydropower Inlet Effect on the Electric Network Frequency

Version 1 : Received: 21 March 2023 / Approved: 21 March 2023 / Online: 21 March 2023 (14:29:33 CET)

A peer-reviewed article of this Preprint also exists.

Álvarez-Higueruela, J.; Gutiérrez-Villalba, F.-J.; Sierra-Fernández, J.-M.; González-de-la-Rosa, J.-J.; Florencias-Oliveros, O.; Palomares-Salas, J.-C.; Agüera-Pérez, A.; Espinosa-Gavira, M.-J. Characterization of the Hydropower Inlet Effect on the Electric Network Frequency. Energies 2023, 16, 3832. Álvarez-Higueruela, J.; Gutiérrez-Villalba, F.-J.; Sierra-Fernández, J.-M.; González-de-la-Rosa, J.-J.; Florencias-Oliveros, O.; Palomares-Salas, J.-C.; Agüera-Pérez, A.; Espinosa-Gavira, M.-J. Characterization of the Hydropower Inlet Effect on the Electric Network Frequency. Energies 2023, 16, 3832.

Abstract

One of the challenges posed by renewable energies is the stabilization of parameters related to the quality of electrical energy. This study demonstrates the existence of a relationship between input blocks of hydropower and the variation of the fundamental frequency of the electricity grid. By mapping production data provided by Spanish Electric Network with frequency measured in the laboratory, it is shown that gradients of hydropower are correlated with frequency fluctuations for certain characteristic times. Considering hourly instances of energy input, the study compares two methods for calculating hydropower gradients (linear regression and pseudo-linear regression); and two methods for calculating local frequency extremes (the "specular inertia" method and analysis by comparison with the moving average), in order to corroborate the results.

Keywords

correlation power-frequency; frequency stability; hydropower; power quality analysis

Subject

Environmental and Earth Sciences, Sustainable Science and Technology

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