Stability and transient performance assessment in a COTS-module-based distributed DC/DC system

Vesti, S.; Oliver, J. A.; Prieto, R.; Cobos, J.A.; Suntio, Teuvo

doi:10.1109/intlec.2011.6099723

Cited by 12 publications

(13 citation statements)

References 21 publications

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“…The approach is to determine the contribution of these impedances in the response of the system and remove them from the final model. Blackbox G-parameters models have been applied to EPDS based on COTS converters [24]. It is also possible to identify the small-signal state-space representation of a converter around an operating point as in [25].…”

Section: A Linear Structuresmentioning

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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Section: A Linear Structuresmentioning

confidence: 99%

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

2019

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“…Gradually the design is shifting from the knowledge of controlling single device, to coordinating the connected sub-devices. So the impedance-based stability and transient-performance analyses are applied in more and more occasions [5].…”

Section: Introductionmentioning

confidence: 99%

Impedance Coordinative Control for Cascaded Converter in Bidirectional Application

Tian

Loh

Deng

et al. 2016

IEEE Trans. on Ind. Applicat.

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Abstract-Two stage cascaded converters are widely used in bidirectional applications, but the negative impedance may cause system instability. Actually the impedance interaction is much different between forward power flow and reversed power flow, which will introduce more uncertainty to the system stability. This paper proposes a control method for the constant power controlled converter in cascaded system, and consequently it can change the negative impedance of constant power converter into resistive impedance, which will improve the cascaded system stability, as well as merge the impedance difference between forward and reversed power flow. This paper addresses the analysis with the topology of cascaded dualactive-bridge converter (DAB) with inverter, and the proposed control method can also be implemented in unidirectional applications and other general cascaded converter system. The effectiveness has been validated by both simulation and experimental results.

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“…These power converters employ different control techniques to achieve control objectives [1]. The control objective could be target current [2,3] or voltage [4], the limit on a ripple [5], faster or slower response [6] and quick recovery from a disturbance or a stability criterion [7]. Traditional control techniques in both analog and digital domain have been in use for an extended period.…”

Section: Introductionmentioning

confidence: 99%

Development of Predictive Current Controller for Multi-Port DC/DC Converter

Santhosh¹,

Govindaraju²

2015

IJPEDS

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This paper investigates the utilization of a predictive current control for a four port DC/DC power electronic converter with an input port, two storage ports and a load port suitable for a Hybrid Electric Vehicle. Being a power converter with multiple ports, it has different operating modes. While the Stateflow controller is employed to handle mode selection, the predictive current controller is used to control the inductor current . The control laws governing each operating mode is derived out for valley current control. By making the inductor current in the upcoming switching cycle equivalent to the reference, the duty cycle is predicted. Simulation and experimental results show improvements in current ripple minimization, faster dynamic performance and comparable to traditional PI control method.

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Stability and transient performance assessment in a COTS-module-based distributed DC/DC system

Cited by 12 publications

References 21 publications

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

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

Impedance Coordinative Control for Cascaded Converter in Bidirectional Application

Development of Predictive Current Controller for Multi-Port DC/DC Converter

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