How to model a DC microgrid: Towards an automated solution

Frances, Airan; Asensi, R.; García, O.; Prieto, R.; Uceda, J.

doi:10.1109/icdcm.2017.8001110

Cited by 13 publications

(15 citation statements)

References 21 publications

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“…Furthermore, nonlinear structures like the Wiener-Hammerstein approach [14] or the polytopic approach [17] have been also proposed for DC-DC converters. More recently, some new strategies have been proposed: to consider the effect of system-level controllers [19,20,27,28], to improve the performance of the model in case strong nonlinearities are present in the system [29], or the first approach towards a blackbox large-signal stability analysis [30]. A review about blackbox modeling structures for DC-DC converters can be found in [31].…”

Section: Blackbox Modelingmentioning

confidence: 99%

Blackbox Large-Signal Modeling of Grid-Connected DC-AC Electronic Power Converters

et al. 2019

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Modern electric power distribution systems are progressively integrating electronic power converters. However, the design of electronic-power-converter-based systems is not a straightforward task, as the interactions among the different converters can lead to dynamic degradation or instabilities. In addition, electric power distribution systems are expected to consist of commercial-off-the-shelf converters, which implies limited information about the dynamic behavior of the devices. Large-signal blackbox modeling approaches have been proposed in order to obtain accurate dynamic models of commercial converters that can be used for system-level analyses. However, most of the works are focused on DC-DC converters. In this work, a large-signal blackbox model is proposed to model grid-connected three-phase DC-AC converters. An experimental setup has been used to demonstrate the limitations of small-signal models and the capability of the proposed modeling approach to capture the dynamic behavior of the converter when large perturbations are applied. Finally, the automation of the model identification process is discussed.

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Section: Blackbox Modelingmentioning

confidence: 99%

Blackbox Large-Signal Modeling of Grid-Connected DC-AC Electronic Power Converters

et al. 2019

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“…their outputs depend only on the current values of their inputs. However, it has been demonstrated that the changes in the dynamic behavior of a PEC has its own dynamic [34]. The dynamic behavior of a system can be expressed using the state-space representation.…”

Section: Dynamic Weighting Functionsmentioning

confidence: 99%

Blackbox Polytopic Model With Dynamic Weighting Functions for DC-DC Converters

2019

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DC electric power distribution is becoming popular due to the proliferation of renewable sources and storage elements in applications such as electric vehicles, ships, aircrafts, microgrids, etc. These systems are characterized by a high integration of power electronic converters. From a system-level perspective, it would be desirable to design this kind of systems using commercial-off-the shelf converters. However, in general, the manufacturers do not provide a behavioral model of the devices in order to analyze the dynamic behavior of the interconnected system before the actual implementation. In the literature, several blackbox modeling techniques have been proposed to overcome this lack of information. This paper proposes the integration of dynamic weighting functions to the polytopic model in order to improve the accuracy of the behavioral models when the input variables change sharply. A boost converter is used as case study and the performance of the proposed model is compared with the most relevant techniques that can be found in the literature. INDEX TERMS Blackbox models, dc microgrids, dc-dc converters, dynamic interactions, electronic power distribution, modeling, system identification, nonlinear models. AIRÁN FRANCÉS (GS'16-M'18) received the M.Sc. and Ph.D. degrees in electrical engineering from the Universidad Politécnica de Madrid (UPM), Spain, in 2012 and 2018, respectively. He is currently an Assistant Professor with the Department of Electrical Engineering, UPM. He participated for two years in the European Project XFEL, where he collaborated in the design and development of dc-dc power supplies for superconducting magnets. His current research interests include modeling, control and stability assessment of electronic power distribution systems, and smart grids.

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“…However, their suitability for nonlinear systems with sharp variation of the input variables can be compromised. Recently, dynamic weighting functions have been proposed to increase the accuracy of polytopic models in these cases [34].…”

Section: B Large-signal Modelmentioning

confidence: 99%

“…The mathematical justification of this relationship was not included in [34], but it can be derived by representing the state-space equation, applying the laplace transformation and rearranging terms to express the state variables as a function…”

Section: B Large-signal Modelmentioning

confidence: 99%

Dynamic Assessment of COTS Converters-Based DC Integrated Power Systems in Electric Ships

Frances-Roger

Anvari‐Moghaddam

Rodriguez-Diaz

et al. 2018

IEEE Trans. Ind. Inf.

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Maritime applications have found in the integration of the electric power system a way to further improve efficiency and reduce the weight of new electric ships. This movement has led scientists to integrate smart management systems to optimize the overall behavior of the grid. In this context, power electronics play a key role in linking the different elements of the power architecture. Moreover, the transition towards a dc distribution, which has already been established in other applications, is being regarded as a promising alternative to ease the integration of renewable sources, batteries, and the ever increasing number of dc loads. In this paper blackbox models are proposed as a tool to foresee the effect of these complex interactions, overcoming the lack of detailed information about the power converters. Largesignal strategies are proposed in order to consider nonlinearities in the static and dynamic behavior of the converters. An accurate model of the physical layer is essential to allow intelligent systems to take the most out of the system performance. This approach offers the opportunity to study the dynamic response of complex interconnected systems, tune the system-level controllers, design protections or assess the compliance of the system dynamics with the standards. Experimental results are included in order to validate the proposed method.

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How to model a DC microgrid: Towards an automated solution

Cited by 13 publications

References 21 publications

Blackbox Large-Signal Modeling of Grid-Connected DC-AC Electronic Power Converters

Blackbox Large-Signal Modeling of Grid-Connected DC-AC Electronic Power Converters

Blackbox Polytopic Model With Dynamic Weighting Functions for DC-DC Converters

Dynamic Assessment of COTS Converters-Based DC Integrated Power Systems in Electric Ships

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