LAPSE:2023.15810v1
Published Article
LAPSE:2023.15810v1
Nonlinear Hierarchical Easy-to-Implement Control for DC MicroGrids
March 2, 2023
Abstract
In this work is considered the connection of a photovoltaics (PV) solar plant to the main grid through a Direct Current (DC) MicroGrid and a hybrid storage system, composed of a battery and a supercapacitor, in order to satisfy constraints of grid connection (the so-called Grid-Codes). The objective, and main contribution of this paper, is to stabilize the DC MicroGrid voltage in spite of large variations in production and consumption, using a nonlinear hierarchical easy-to-implement control strategy. Here is presented the MicroGrid’s control design based on detailed models of the photovoltaic energy sources and the storage systems. Such DC grids may present an unstable behavior caused by the PV’s intermittent output power, by switching ripples from the power converters and their power electronics, and oscillatory currents produced by some types of loads. Therefore, the system is subject to both fast and slow variations, and its stabilization is based on different technologies of storage, such as battery and supercapacitor, and control algorithms designed thanks to the use of time-scale separation between different components of the storage systems. The obtained nonlinear results are stronger than current linear controllers, allowing to keep operating margins around the voltage reference. At the same time, in this work, insights from power systems practice have been used, aiming to obtain a very simple and easy-to-implement control scheme. Detailed simulation results are provided to illustrate the behavior and effectiveness of the proposed stabilization technique.
Keywords
Lyapunov methods, microgrids, nonlinear control systems, power generation control, power system stability
Suggested Citation
Siad SB, Iovine A, Damm G, Galai-Dol L, Netto M. Nonlinear Hierarchical Easy-to-Implement Control for DC MicroGrids. (2023). LAPSE:2023.15810v1
Author Affiliations
Siad SB: Laboratory of Signal and Systems (L2S), Centre National de la Recherche Scientifique (CNRS), CentraleSupélec, Paris-Saclay University, 3, rue Joliot Curie, 91190 Gif-sur-Yvette, France [ORCID]
Iovine A: Laboratory of Signal and Systems (L2S), Centre National de la Recherche Scientifique (CNRS), CentraleSupélec, Paris-Saclay University, 3, rue Joliot Curie, 91190 Gif-sur-Yvette, France [ORCID]
Damm G: COSYS-LISIS, Université Gustave Eiffel, IFSTTAR, 77454 Marne-la-Vallee, France [ORCID]
Galai-Dol L: CSTB, 77420 Champs-sur-Marne, France
Netto M: COSYS-PICS-L, Université Gustave Eiffel, IFSTTAR, 78000 Versailles, France [ORCID]
Journal Name
Energies
Volume
15
Issue
3
First Page
969
Year
2022
Publication Date
2022-01-28
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15030969, Publication Type: Journal Article
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LAPSE:2023.15810v1
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https://doi.org/10.3390/en15030969
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