Electrical Power Fluctuations in a Network of DC/AC inverters in a Large PV Plant: relationship between correlation, distance and time scale

Perpiñan Lamigueiro, Oscar; Marcos, Javier y Lorenzo Pigueiras, Eduardo (2013). Electrical Power Fluctuations in a Network of DC/AC inverters in a Large PV Plant: relationship between correlation, distance and time scale. "Solar Energy", v. 88 ; ISSN 0038-092X. https://doi.org/10.1016/j.solener.2012.1.

Descripción

Título: Electrical Power Fluctuations in a Network of DC/AC inverters in a Large PV Plant: relationship between correlation, distance and time scale
Autor/es:
  • Perpiñan Lamigueiro, Oscar
  • Marcos, Javier
  • Lorenzo Pigueiras, Eduardo
Tipo de Documento: Artículo
Título de Revista/Publicación: Solar Energy
Fecha: Febrero 2013
Volumen: 88
Materias:
Palabras Clave Informales: irradiance and electrical power fluctuation, wavelet analysis, wavelet variance, wavelet cross-correlation
Escuela: E.U.I.T. Industrial (UPM) [antigua denominación]
Departamento: Ingeniería Eléctrica [hasta 2014]
Licencias Creative Commons: Reconocimiento - Compartir igual

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Resumen

This paper analyzes the correlation between the fluctuations of the electrical power generated by the ensemble of 70 DC/AC inverters from a 45.6 MW PV plant. The use of real electrical power time series from a large collection of photovoltaic inverters of a same plant is an impor- tant contribution in the context of models built upon simplified assumptions to overcome the absence of such data. This data set is divided into three different fluctuation categories with a clustering proce- dure which performs correctly with the clearness index and the wavelet variances. Afterwards, the time dependent correlation between the electrical power time series of the inverters is esti- mated with the wavelet transform. The wavelet correlation depends on the distance between the inverters, the wavelet time scales and the daily fluctuation level. Correlation values for time scales below one minute are low without dependence on the daily fluctuation level. For time scales above 20 minutes, positive high correlation values are obtained, and the decay rate with the distance depends on the daily fluctuation level. At intermediate time scales the correlation depends strongly on the daily fluctuation level. The proposed methods have been implemented using free software. Source code is available as supplementary material.

Más información

ID de Registro: 20817
Identificador DC: http://oa.upm.es/20817/
Identificador OAI: oai:oa.upm.es:20817
Identificador DOI: 10.1016/j.solener.2012.1
URL Oficial: http://www.sciencedirect.com/science/article/pii/S0038092X12004197
Depositado por: Oscar Perpiñán Lamigueiro
Depositado el: 30 Sep 2013 08:20
Ultima Modificación: 28 Feb 2015 23:56
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