Abstract
With the increased percentage of distributed renewable energy sources (RES) connected to the power network, it is challenging to maintain the balance between the power generation and consumptions against the unpredictable renewable energy generation and load variations. Considering this, this study proposed a new DC microgrid control strategy to reduce the disturbance to the main power grid from the distributed generation and load variations within the DC microgrid. The DC microgrid model used in this study includes an energy storage unit (battery), a distributed generation unit (PV) and loads. A fuzzy logic controller (FLC) is used to actively regulate the battery charging/discharging current to absorb the power variation caused by PV generation and load changes. The proposed control strategy is validated by simulation in MATLAB/Simulink.
Original language | English |
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Title of host publication | 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA) |
Publisher | IEEE |
Pages | 968-972 |
ISBN (Electronic) | 978-1-5386-5982-3 |
ISBN (Print) | 978-1-5386-5983-0 |
DOIs | |
Publication status | Published - 10 Dec 2018 |
Event | 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA) - Paris, France Duration: 14 Oct 2018 → 17 Oct 2018 |
Publication series
Name | 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA) |
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Publisher | IEEE |
ISSN (Print) | 2377-6897 |
ISSN (Electronic) | 2572-6013 |
Conference
Conference | 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA) |
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Period | 14/10/18 → 17/10/18 |
Bibliographical note
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Funding: This work has received funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No 734796.