Modeling Electronic Power Converters in Smart DC Microgrids—An Overview

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

doi:10.1109/tsg.2017.2707345

Cited by 118 publications

(65 citation statements)

References 76 publications

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“…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%

“…As mentioned in Section 2, this methodology is based on a weighted combination of small-signal models identified around different operating points. This approach has been successfully applied in DC systems [17,19,20,31], and extended to AC EPCs in [35] at simulation level. Therefore, the present work is the first evidence of a polytopic model applied to represent an actual three-phase DC-AC EPC.…”

Section: Large-signal Analysismentioning

confidence: 99%

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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%

Section: Large-signal Analysismentioning

confidence: 99%

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

et al. 2019

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“…Small-signal modeling of DC-DC converters has been a subject of research for several decades now, resulting in two main families of modeling techniques: state-space averaging [22] and switch or circuit averaging [39,10]. State-space averaging has become a broadly used modeling approach for DC-DC converters [14], and is considered the most effective method for building small-signal models [43]. It continuously received extensions, for example, for converters in discontinuous conduction mode (DCM) [11,28] or variable-frequency operation [26], and new theoretical results to this day [21].…”

Section: Introductionmentioning

confidence: 99%

A Building-Block Approach to State-Space Modeling of DC-DC Converter Systems

Herbst

2019

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Small-signal models of DC-DC converters are often based on a statespace averaging approach, from which both control-oriented and other frequencydomain characteristics, such as input or output impedance, can be derived. Updating these models when extending the converter by filters or non-trivial loads, or adding control loops, can become a tedious task, however. To simplify this potentially error-prone process, a modular modeling approach is being proposed in this article. It consists of small state-space models for certain building blocks of a converter system on the one hand, and standardized operations for connecting these subsystem models to an overall converter system model on the other hand. The resulting state-space system model builds upon a two-port converter description and allows the extraction of control-oriented and impedance characteristics at any modeling stage, be it open loop or closed loop, single converter or series connections of converters. The ease of creating more complex models enabled by the proposed approach is also demonstrated with examples comprising multiple control loops or cascaded converters.

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“…How to achieve parallel operation, accurate load current sharing between power converters, and maintain stability has become a research hotspot in microgrids [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22]. With the increasing demand of DC power at load side and the rapid development of distributed DC power sources such as photovoltaic cells, wind power, storage batteries, fuel cells, and supercapacitors, the research on DC microgrids has been gradually increasing in recent years [7][8][9]. Nowadays, DC microgrids have been preliminarily applied in independent power supply systems such as marine power systems, aerospace systems, and data centers [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

A Novel Autonomous Current-Sharing Control Strategy for Multiple Paralleled DC–DC Converters in Islanded DC Microgrid

et al. 2019

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Due to the existence of line impedances and low-bandwidth communication, the traditional peer-to-peer control method based on droop control has difficult meeting the requirements of current sharing and voltage stability in islanded DC microgrids at the same time. In this paper, a novel current-sharing control strategy based on injected small ac voltage with low frequency and low amplitude is proposed for multiple paralleled DC-DC converters. The small ac voltage is superimposed onto the output voltage of each converter. Then, the reactive circulating power is generated and used to regulate the output DC voltage of each converter. Under the droop characteristic between the injected frequency and output DC current, a feedback mechanism is generated to realize the accurate current sharing. On this basis, a reactive power-voltage limiter link and virtual negative impedance are added. Under the interaction of the two links, the bus voltage drop caused by line impedances can be almost completely eliminated. This method does not need any communication or to change the hardware structure. The controller design process is presented in detail along with a system stability analysis. Finally, the feasibility and effectiveness of the proposed control strategy are validated by the results obtained from simulations and experiments.

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Modeling Electronic Power Converters in Smart DC Microgrids—An Overview

Cited by 118 publications

References 76 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

A Building-Block Approach to State-Space Modeling of DC-DC Converter Systems

A Novel Autonomous Current-Sharing Control Strategy for Multiple Paralleled DC–DC Converters in Islanded DC Microgrid

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