Improving photovoltaics grid integration through short time forecasting and self-consumption

Masa Bote, Daniel and Castillo Cagigal, Manuel and Matallanas de Avila, Eduardo and Caamaño Martín, Estefanía and Gutierrez Martín, Alvaro and Monasterio-Huelin Maciá, Felix and Jiménez Leube, Francisco Javier (2014). Improving photovoltaics grid integration through short time forecasting and self-consumption. "Applied Energy", v. 125 ; pp. 103-113. ISSN 0306-2619. https://doi.org/10.1016/j.apenergy.2014.03.045.

Description

Title: Improving photovoltaics grid integration through short time forecasting and self-consumption
Author/s:
  • Masa Bote, Daniel
  • Castillo Cagigal, Manuel
  • Matallanas de Avila, Eduardo
  • Caamaño Martín, Estefanía
  • Gutierrez Martín, Alvaro
  • Monasterio-Huelin Maciá, Felix
  • Jiménez Leube, Francisco Javier
Item Type: Article
Título de Revista/Publicación: Applied Energy
Date: July 2014
ISSN: 0306-2619
Volume: 125
Subjects:
Freetext Keywords: Distributed PV; Energy forecast; Demand Side Management; Grid integration
Faculty: Instituto de Energía Solar (IES) (UPM)
Department: Otro
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The uncertainty associated to the forecast of photovoltaic generation is a major drawback for the widespread introduction of this technology into electricity grids. This uncertainty is a challenge in the design and operation of electrical systems that include photovoltaic generation. Demand-Side Management (DSM) techniques are widely used to modify energy consumption. If local photovoltaic generation is available, DSM techniques can use generation forecast to schedule the local consumption. On the other hand, local storage systems can be used to separate electricity availability from instantaneous generation; therefore, the effects of forecast error in the electrical system are reduced. The effects of uncertainty associated to the forecast of photovoltaic generation in a residential electrical system equipped with DSM techniques and a local storage system are analyzed in this paper. The study has been performed in a solar house that is able to displace a residential user?s load pattern, manage local storage and estimate forecasts of electricity generation. A series of real experiments and simulations have carried out on the house. The results of this experiments show that the use of Demand Side Management (DSM) and local storage reduces to 2% the uncertainty on the energy exchanged with the grid. In the case that the photovoltaic system would operate as a pure electricity generator feeding all generated electricity into grid, the uncertainty would raise to around 40%.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainFPU-2010UnspecifiedUnspecifiedUnspecified
Government of SpainFPU-2011UnspecifiedUnspecifiedUnspecified
Government of SpainENE2007-66135UnspecifiedUnspecifiedUnspecified
Government of SpainIPT-2011-1468-920000UnspecifiedUnspecifiedUnspecified
Government of SpainIPT-2012-1072-120000UnspecifiedUnspecifiedUnspecified

More information

Item ID: 32278
DC Identifier: http://oa.upm.es/32278/
OAI Identifier: oai:oa.upm.es:32278
DOI: 10.1016/j.apenergy.2014.03.045
Official URL: http://www.sciencedirect.com/science/article/pii/S0306261914002761
Deposited by: Memoria Investigacion
Deposited on: 22 Oct 2014 16:54
Last Modified: 30 Apr 2019 07:20
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