Sizing of an autonomous microgrid considering droop control

Journal Article (2022)
Author(s)

Juan M. Rey-López (Industrial University of Santander)

Iván Jiménez-Vargas (Industrial University of Santander)

Pedro P. Vergara Barrios (TU Delft - Intelligent Electrical Power Grids)

Germán Alfonso Osma-Pinto (Industrial University of Santander)

Javier Solano (Industrial University of Santander)

Research Group
Intelligent Electrical Power Grids
Copyright
© 2022 Juan M. Rey, Iván Jiménez-Vargas, P.P. Vergara Barrios, Germán Osma-Pinto, Javier Solano
DOI related publication
https://doi.org/10.1016/j.ijepes.2021.107634
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Juan M. Rey, Iván Jiménez-Vargas, P.P. Vergara Barrios, Germán Osma-Pinto, Javier Solano
Research Group
Intelligent Electrical Power Grids
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Volume number
136
Pages (from-to)
1-10
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Abstract

Autonomous microgrids are a suitable solution for off-grid electrification in terms of costs and reliability. The correct sizing of its generation and storage systems ensures efficient utilization of the available energy resources. Generally, many sizing approaches assume optimized energy management strategies that rely on central control architectures. However, these architectures are not always available, especially in limited investment microgrid projects. For this reason, the study of operation scenarios based on decentralized control strategy such as droop control is relevant. Based on this, this paper aims to evaluate the impact of the droop control over the sizing results of a solar/wind/battery/diesel microgrid. For this purpose, a case study of a sizing problem is presented, including the formulation and modelling. Results are presented comparing an hourly optimized energy management scenario with multiple values of the droop control parameters. Simulations results indicate that a competitive total cost can be obtained if the droop parameters are calculated considering the microgrid sizing results. Based on this, a generalizable design methodology for this purpose is presented.

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