LAPSE:2023.35769
Published Article
LAPSE:2023.35769
Characterization of the Hydropower Inlet Effect on the Electric Network Frequency
May 23, 2023
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
Subject
Suggested Citation
Álvarez-Higueruela J, Gutiérrez-Villalba FJ, Sierra-Fernández JM, González-de-la-Rosa JJ, Florencias-Oliveros O, Palomares-Salas JC, Agüera-Pérez A, Espinosa-Gavira MJ. Characterization of the Hydropower Inlet Effect on the Electric Network Frequency. (2023). LAPSE:2023.35769
Author Affiliations
Álvarez-Higueruela J: Research Group PAIDI-TIC-168, Department of Automation Engineering, Electronics, Architecture and Computers Networks, Doctoral School, University of Cádiz, E-11202 Algeciras, Spain [ORCID]
Gutiérrez-Villalba FJ: Research Group PAIDI-TIC-168, Department of Automation Engineering, Electronics, Architecture and Computers Networks, Doctoral School, University of Cádiz, E-11202 Algeciras, Spain
Sierra-Fernández JM: Research Group PAIDI-TIC-168, Department of Automation Engineering, Electronics, Architecture and Computers Networks, Doctoral School, University of Cádiz, E-11202 Algeciras, Spain [ORCID]
González-de-la-Rosa JJ: Research Group PAIDI-TIC-168, Department of Automation Engineering, Electronics, Architecture and Computers Networks, Doctoral School, University of Cádiz, E-11202 Algeciras, Spain [ORCID]
Florencias-Oliveros O: Research Group PAIDI-TIC-168, Department of Automation Engineering, Electronics, Architecture and Computers Networks, Doctoral School, University of Cádiz, E-11202 Algeciras, Spain
Palomares-Salas JC: Research Group PAIDI-TIC-168, Department of Automation Engineering, Electronics, Architecture and Computers Networks, Doctoral School, University of Cádiz, E-11202 Algeciras, Spain [ORCID]
Agüera-Pérez A: Research Group PAIDI-TIC-168, Department of Automation Engineering, Electronics, Architecture and Computers Networks, Doctoral School, University of Cádiz, E-11202 Algeciras, Spain [ORCID]
Espinosa-Gavira MJ: Research Group PAIDI-TIC-168, Department of Automation Engineering, Electronics, Architecture and Computers Networks, Doctoral School, University of Cádiz, E-11202 Algeciras, Spain [ORCID]
Journal Name
Energies
Volume
16
Issue
9
First Page
3832
Year
2023
Publication Date
2023-04-29
Published Version
ISSN
1996-1073
Version Comments
Original Submission
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PII: en16093832, Publication Type: Journal Article
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LAPSE:2023.35769
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doi:10.3390/en16093832
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May 23, 2023
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CC BY 4.0
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May 23, 2023
 
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May 23, 2023
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Original Submitter
Calvin Tsay
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