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https://doi.org/10.1109/sielme...
Conference object . 2021 . Peer-reviewed
License: IEEE Copyright
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Optimal Capacity and Feasibility of Energy Storage Systems for Power Plants Using Variable Renewable Energy Sources

Authors: Braga, D.;

Optimal Capacity and Feasibility of Energy Storage Systems for Power Plants Using Variable Renewable Energy Sources

Abstract

Nowadays, the decarbonization of the global and national economies by shifting from using fossil energy sources to using renewable energy sources represents an upward trend. The greatest potential has wind and photovoltaic sources, which are characterized by intermittency and unpredictability due to the intermittent nature of wind speed and solar irradiance. Thus, the main challenge for the integration of variable renewable energy sources (VRESs) into existing power systems is the gap between the electricity load of final users and the electricity generation of VRES. The main solutions for this challenge include using the reserve generation capacity and/or the energy storage systems (ESSs). Energy storage can be realized at different levels of the power systems: the end-users, the power plants, or the electricity grid. In this paper, we present the feasibility evaluation of the different types of ESS (battery and fuel cells) for the smoothing of the peak generation curve of the power plants using VRESs and the economically optimal capacity of ESSs.

Country
Moldova (Republic of)
Related Organizations
Keywords

batteries, energy storage, solar energy, wind energy, fuel cells, renewable energy sources

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green
Related to Research communities
Energy Research