Modeling and control of a Dual Active Bridge for energy storage in DC microgrid applications

Marcelino, Frederico L. F.; Sathler, Hans Hoffmann; Oliveira, Thiago Ribeiro de; Donoso-Garcia, P.F.

doi:10.1109/pedg.2017.7972461

Cited by 11 publications

(5 citation statements)

References 14 publications

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“…Based on formulas (8), ( 10), (12), and (13), it is possible to determine the average values of the currents in DC circuits (i d1(AV ) and i d2(AV ) ) for the switching period of the instantaneous values.…”

Section: Circuit Model Of a Real Dab Convertermentioning

confidence: 99%

“…In Section 3, the averaged model of the DAB is presented, whereas the transfer functions in the domain of the complex variable "s" are given in Section 4. In Section 5, to check the influence of parasitic parameters, an analysis of the averaged model with ideal elements was performed [12,19]. Simulation and experimental models, which were developed to verify the discussed model, are presented in Sections 6 and 7.…”

Section: Introductionmentioning

confidence: 99%

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Bulletin of the Polish Academy of Sciences: Technical Sciences

Barlik,

Grzejszczak,

Koszel

2022

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Section: Circuit Model Of a Real Dab Convertermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Bulletin of the Polish Academy of Sciences: Technical Sciences

Barlik,

Grzejszczak,

Koszel

2022

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“…In the existent literature, several linear and nonlinear control methods have been reported for the subject application. The traditional linear proportional, integral and derivative (PID) controllers have been widely applied in the existing literature [20][21][22][23][24]. In [20] the authors presented fixed gain PI controller for the regulation of DC bus voltage in DIBMS.…”

Section: Introductionmentioning

confidence: 99%

“…In [20] the authors presented fixed gain PI controller for the regulation of DC bus voltage in DIBMS. A fixed gain PI controller is implemented for a laboratory scaled DIBMS system and presented in [21][22]. Similarly the stability analysis of DC micro-grid is presented in [23][24].…”

Section: Introductionmentioning

confidence: 99%

Industrial Grade Adaptive Control Scheme for a Micro-Grid Integrated Dual Active Bridge Driven Battery Storage System

et al. 2020

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In this paper, an industrial grade adaptive control scheme is proposed for a micro-grid integrated dual active bridge driven battery management system (DIBMS). A benchmark industrial grade adaptive control scheme depends on two factors namely robustness and computational resource utilization when such controllers are implemented over processors. The mathematical model of DIBMS system is nonlinear, thus for desired response, non-linear controllers based on sliding mode variable structure control theory suits it well for the state regulation problem of DIBMS, however such controllers utilize high computational resources when practically implemented over processors. Keeping in view the above performance indices, this paper proposes an industrial grade computationally efficient and finite time adaptive robust convergent control for DIBMS system. A proportional integral (PI) scheme is used as central control unit and Hebbian algorithm with double integration of the state error is introduced for online tuning the gains of central control unit. The robustness and computational resource efficiency of the proposed control paradigm is validated using a laboratory scale test bench through TI Launchpad (TMS320F28379D). The superiority of the proposed AI based PI control paradigm is compared with classical PI, integer order sliding mode control (SMC), and fractional order SMC (FOSMC) in terms of computational resource utilization and robustness under all test conditions.

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“…In the main there are three different small signal, DAB convertor, modelling techniques reported in the literature. These are divided into: simplified averaged model, continuous-time model and discrete-time model [8]. The simplified averaged model is obtained from the input and output average currents as a function of the transformer ratio [9,10]; where perturbation and linearization techniques are utilized to develop the small signal model [11].…”

Section: Introductionmentioning

confidence: 99%

Generalized Small-Signal Modelling of Dual Active Bridge DC/DC Converter

Hebala

Aboushady

Ahmed

et al. 2018

2018 7th International Conference on Renewable Energy Research and Applications (ICRERA)

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this paper presents a novel generalised approach of the small-signal modelling of dual active bridge (DAB) DC/DC converter. The adopted analysis is based on a per-unit fundamental frequency representation of the DAB. The outcome of the proposed modelling approach is a small signal, linearised, state-space DAB model; which is considered as a main building block for future control applications. The developed small signal DAB model includes all possible degrees of freedom affecting the performance of the DAB; this includes the voltage conversion ratio to allow the study of all DAB operation modes (i.e.: unity-gain and buck/boost modes.). Furthermore, since triple phase shift control (TPS) is used in this development work, the proposed model incorporates phase shift in addition to duty ratios. This feature allows for bridge voltage regulation, which is essential for efficient DAB operation in the case of buck/boost operation. Another key achievement is that the proposed small signal modelling methodology can be applied to any bidirectional DC-DC converter regardless of ratings, parameter values and number of ports. Extensive simulation is carried out to verify the proposed analysis.

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Modeling and control of a Dual Active Bridge for energy storage in DC microgrid applications

Cited by 11 publications

References 14 publications

Bulletin of the Polish Academy of Sciences: Technical Sciences

Bulletin of the Polish Academy of Sciences: Technical Sciences

Industrial Grade Adaptive Control Scheme for a Micro-Grid Integrated Dual Active Bridge Driven Battery Storage System

Generalized Small-Signal Modelling of Dual Active Bridge DC/DC Converter

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