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Maximization of Self-Sufficiency with Grid Constraints: PV Generators, Wind Turbines and Storage to Feed Tertiary Sector Users

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type 01 Jun 2017 Italy Publisher:IEEEJournal:2017 IEEE 44th Photovoltaic Specialist Conference (PVSC)

Authors: Spertino, Filippo; Ahmad, Jawad; Ciocia, Alessandro; Di Leo, Paolo; Giordano, Francesco;

doi: 10.1109/pvsc.2017.8366417

handle: 11583/2722503

Maximization of Self-Sufficiency with Grid Constraints: PV Generators, Wind Turbines and Storage to Feed Tertiary Sector Users

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Abstract

The maximum self-sufficiency by PV modules, wind turbines and storage is investigated, that can be obtained by aggregated tertiary sector users. Each renewable source (sun and wind) is assessed in terms of hours of availability with respect to the annual hours. The primary goal of aggregated users, now prosumers, is the achievement of the best match between profiles of generation and consumption. Power ratings of PV and wind generators and energy capacities of batteries are chosen to reach the highest self-sufficiency and the lowest power exchange with the grid. PV and wind powers are simulated by using measured meteorological data.

Country

Italy

Related Organizations

Polytechnic University of Turin
Italy

Keywords

Grid, PV generators, Self-sufficiency, Storage, Wind turbines

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	4
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average