DocumentCode :
3457995
Title :
A smart home demand-side management system considering solar photovoltaic generation
Author :
Baldauf, Akos
Author_Institution :
Dept. of Electr. Power Eng., Budapest Univ. of Technol. & Econ., Budapest, Hungary
fYear :
2015
fDate :
27-30 May 2015
Firstpage :
1
Lastpage :
5
Abstract :
Lately, over the past decade both the growing environmental awareness and the subsidies provided for renewable energy sources triggered a remarkable residential investment in photovoltaic (PV) systems. Although this is a desirable change, the effects of these widespread distributed energy resources (DER) have to be considered, both financial and technical aspects. The intermittent electricity production of PV systems brings several issues on the grid operator´s side. In order to be able to control and take the DER´s production into the grid without risking power quality, demand side management (DSM) can make positive effects on this issue at residential level. Also the electricity provider´s tariff structure has to be considered at the optimization of the monetary costs. In this paper an intelligent residential DSM system for a rooftop installed residential PV is introduced. The applied DSM technique aims to reduce costs of the customer and also power losses on the grid. In order to avoid reducing the consumer´s convenience significantly, a scheduling algorithm is applied, using historical data of the consumer´s habits and PV generation forecasts.
Keywords :
building integrated photovoltaics; demand side management; environmental factors; load forecasting; power generation economics; power generation scheduling; smart power grids; tariffs; DER; PV generation forecasting; distributed energy resource; environmental awareness; intelligent residential DSM system; power grid tariff structure; power losses; renewable energy sources; residential investment; rooftop installed residential PV system; scheduling algorithm; smart home demand side management system; solar photovoltaic generation; Mathematical model; Optimal scheduling; Production; Refrigerators; Smart homes; Water heating; Energy efficiency; Load Management; Photovoltaic systems; Smart grids;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energy (IYCE), 2015 5th International Youth Conference on
Conference_Location :
Pisa
Print_ISBN :
978-1-4673-7171-1
Type :
conf
DOI :
10.1109/IYCE.2015.7180731
Filename :
7180731
Link To Document :
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