Modeling and stability analysis of multi-time scale DC microgrid

Yang, Nanfang; Nahid‐Mobarakeh, Babak; Gao, Fei; Paire, Damien; Miraoui, Abdellatif; Liu, Weiguo

doi:10.1016/j.epsr.2016.04.014

Cited by 31 publications

(9 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…9c). In the experiment, the DC load (NHR9200) is set up to draw 3 kW more power to have a total power 16.00 14.00 12.00 10.00 8.000 6.000 4.000 2.000 0 -2.000 -4.000 Fig. 10 indicate that the droop operation points change to 1 = −1.1 Ω and 2 = −2.2 Ω to maintain the system's objectives.…”

Section: Analysis and Discussionmentioning

confidence: 99%

Robust adaptive droop control for DC microgrids

Perkins

Diaz

et al. 2017

Electric Power Systems Research

View full text Add to dashboard Cite

There are tradeoffs between current sharing among distributed resources and DC bus voltage stability when conventional droop control is used in DC microgrids. As current sharing approaches the setpoint, bus voltage deviation increases. Previous studies have suggested using secondary control utilizing linear controllers to overcome drawbacks of droop control. However, linear control design depends on an accurate model of the system. The derivation of such a model is challenging because the noise and disturbances caused by the coupling between sources, loads, and switches in microgrids are under-represented. This under-representation makes linear modeling and control insufficient. Hence, in this paper, we propose a robust adaptive control to adjust droop characteristics to satisfy both current sharing and bus voltage stability. First, the time-varying models of DC microgrids are derived. Second, the improvements for the adaptive control method are presented. Third, the application of the enhanced adaptive method to DC microgrids is presented to satisfy the system objective. Fourth, simulation and experimental results on a microgrid show that the adaptive method precisely shares current between two distributed resources and maintains the nominal bus voltage. Last, the comparative study validates the effectiveness of the proposed method over the conventional method.

show abstract

Section: Analysis and Discussionmentioning

confidence: 99%

Robust adaptive droop control for DC microgrids

Perkins

Diaz

et al. 2017

Electric Power Systems Research

View full text Add to dashboard Cite

show abstract

“…the slow devices [13], [23], [22]. The decoupling can be obtained via multi-time scale analysis, as in [47]. Singular perturbation theory (see [48], [49], [27], [26]) can be used to derive controllers that decouple the dynamics with respect to the desired objective, as for example in [50].…”

Section: A Microgrid Modelingmentioning

confidence: 99%

Voltage Regulation and Current Sharing in DC Microgrids With Different Information Scenarios

Iovine

Carrizosa²,

Santis

et al. 2022

IEEE Trans. Contr. Syst. Technol.

View full text Add to dashboard Cite

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

show abstract

“…Despite all these advantages, the DC microgrid has some challenges at the same time, because the structure of the present power grids, transformers, cables, and even the protection system is designed specifically for AC applications. For this reason, the most feasible solution suggested by many researchers is to build a hybrid AC/DC microgrid system for a better integration of all elements with the main grid [26][27][28].…”

Section: Physical Architecturementioning

confidence: 99%

A Review of DC Microgrid Energy Management Systems Dedicated to Residential Applications

et al. 2021

View full text Add to dashboard Cite

The fast depletion of fossil fuels and the growing awareness of the need for environmental protection have led us to the energy crisis. Positive development has been achieved since the last decade by the collective effort of scientists. In this regard, renewable energy sources (RES) are being deployed in the power system to meet the energy demand. The microgrid concept (AC, DC) is introduced, in which distributed energy resources (DERs), the energy storage system (ESS) and loads are interconnected. DC microgrids are appreciated due to their high efficiency and reliability performance. Despite its significant growth, the DC microgrid is still relatively novel in terms of grid architecture and control systems. In this context, an energy management system (EMS) is essential for the optimal use of DERs in secure, reliable, and intelligent ways. Therefore, this paper strives to shed light on DC microgrid architecture, control structure, and EMS. With an extensive literature survey on EMSs’ role, different methods and strategies related to microgrid energy management are covered in this article. More attention is centered on the EMS for DC microgrids in terms of size and cost optimization. A very concise analysis of multiple optimization methods and techniques has been presented exclusively for residential applications.

show abstract

Modeling and stability analysis of multi-time scale DC microgrid

Cited by 31 publications

References 13 publications

Robust adaptive droop control for DC microgrids

Robust adaptive droop control for DC microgrids

Voltage Regulation and Current Sharing in DC Microgrids With Different Information Scenarios

A Review of DC Microgrid Energy Management Systems Dedicated to Residential Applications

Contact Info

Product

Resources

About