Characterization of the Hydropower Inlet Effect on the Electric Network Frequency

Jesús Álvarez-Higueruela, Francisco-José Gutiérrez-Villalba, José-María Sierra-Fernández, Juan-José González- de-la-Rosa, Olivia Florencias-Oliveros, José-Carlos Palomares-Salas, Agustín Agüera-Pérez and Manuel-Jesús Espinosa-Gavira
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Jesús Álvarez-Higueruela: Research Group PAIDI-TIC-168, Department of Automation Engineering, Electronics, Architecture and Computers Networks, Doctoral School, University of Cádiz, E-11202 Algeciras, Spain
Francisco-José Gutiérrez-Villalba: Research Group PAIDI-TIC-168, Department of Automation Engineering, Electronics, Architecture and Computers Networks, Doctoral School, University of Cádiz, E-11202 Algeciras, Spain
José-María Sierra-Fernández: Research Group PAIDI-TIC-168, Department of Automation Engineering, Electronics, Architecture and Computers Networks, Doctoral School, University of Cádiz, E-11202 Algeciras, Spain
Juan-José González- de-la-Rosa: Research Group PAIDI-TIC-168, Department of Automation Engineering, Electronics, Architecture and Computers Networks, Doctoral School, University of Cádiz, E-11202 Algeciras, Spain
Olivia Florencias-Oliveros: Research Group PAIDI-TIC-168, Department of Automation Engineering, Electronics, Architecture and Computers Networks, Doctoral School, University of Cádiz, E-11202 Algeciras, Spain
José-Carlos Palomares-Salas: Research Group PAIDI-TIC-168, Department of Automation Engineering, Electronics, Architecture and Computers Networks, Doctoral School, University of Cádiz, E-11202 Algeciras, Spain
Agustín Agüera-Pérez: Research Group PAIDI-TIC-168, Department of Automation Engineering, Electronics, Architecture and Computers Networks, Doctoral School, University of Cádiz, E-11202 Algeciras, Spain
Manuel-Jesús Espinosa-Gavira: Research Group PAIDI-TIC-168, Department of Automation Engineering, Electronics, Architecture and Computers Networks, Doctoral School, University of Cádiz, E-11202 Algeciras, Spain

Energies, 2023, vol. 16, issue 9, 1-13

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 the 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 extrema (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 (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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