Smart Transformer reliability and efficiency through modularity

Andresen, Markus; Costa, Levy Ferreira; Buticchi, Giampaolo; Liserre, Marco

doi:10.1109/ipemc.2016.7512814

Cited by 19 publications

(6 citation statements)

References 13 publications

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“…It is also important to mention that further improvements may be done regarding the efficiency modeling of the full PET, since in this presented case an optimistic single efficiency curve is used for the whole device. A more realistic approach would consider a modular implementation of the full PET in which its power rating is allowed to change by enabling and disabling internal modules depending on the actual demanded power (Andresen et al, 2016).…”

Section: Test Case 2 Power Flow Simulation On a Distribution Network Modelmentioning

confidence: 99%

Hybrid Power Electronic Transformer Model for System-Level Benefits Quantification in Energy Distribution Systems

et al. 2021

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The Hybrid Power Electronic Transformer (HPET) has been proposed as an efficient and economical solution to some of the problems caused by Distributed Energy Resources and new types of loads in existing AC distribution systems. Despite this, the HPET has some limitations on the control it can exert due to its fractionally-rated Power Electronic Converter. Various HPET topologies with different capabilities have been proposed, being necessary to investigate the system benefits that they might provide in possible future scenarios. Adequate HPET models are needed in order to conduct such system-level studies, which are still not covered in the current literature. Consequently, this article presents a methodology to develop power flow models of HPET that facilitate the quantification of controllability requirements for voltage, active power and reactive power. A particular HPET topology composed of a three-phase three-winding Low-Frequency Transformer coupled with a Back-to-Back converter is modeled as an example. The losses in the Back-to-Back converter are represented through efficiency curves that are assigned individually to the two modules. The model performance is illustrated through various power flow simulations that independently quantify voltage regulation and reactive power compensation capabilities for different power ratings of the Power Electronic Converter. In addition, a set of daily simulations were conducted with the HPET supplying a real distribution network modeled in OpenDSS. The results show the HPET losses to be around 1.3 times higher than the conventional transformer losses over the course of the day. The proposed methodology offers enough flexibility to investigate different HPET features, such as power ratings of the Power Electronic Converter, losses, and various strategies for the controlled variables. The contribution of this work is to provide a useful tool that can not only assess and quantify some of the system-level benefits that the HPET can provide, but also allow a network-tailored design of HPETs. The presented model along with the simulation platform were made publicly available.

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Section: Test Case 2 Power Flow Simulation On a Distribution Network Modelmentioning

confidence: 99%

Hybrid Power Electronic Transformer Model for System-Level Benefits Quantification in Energy Distribution Systems

et al. 2021

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“…The tuning of cascaded controller for CHB rectifier has been discussed in literature [12], [13]. The maximum power that can be processed by the converter is given by (2).…”

Section: A Control Of Chbmentioning

confidence: 99%

Comparison of voltage control methods of CHB converters for power routing in smart transformer

Raveendran

Buticchi

Mercante³

2017

2017 IEEE Energy Conversion Congress and Exposition (ECCE)

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Abstract-For Smart Transformers (ST), reliability is one of the major problems when compared to the traditional lowfrequency transformers. Modular ST with advanced control algorithms could increase the reliability compared to the nonmodular solutions. This could be achieved by distributing differently the power among the cells depending on their aging. This unequal power transfer is a challenge for Cascaded HBridge converters (CHB). ST based on a CHB rectifier with different capacitor voltage balancing schemes are analyzed in the paper. The goal is to evaluate the best scheme for unequal power transfer while maintaining the dc-link voltages constant. The paper focuses on validating the operating power unbalance limits of each cell of the modular system for unbalanced power transfer while maintaining the voltage balance in the medium voltage dc-link stage. The power unbalance limits are established with analytical calculations and verified through simulations and experiments.

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“…"The increasing proliferation of renewable energy resources and new size-able loads like electric vehicle (EV) charging stations has posed many technical and operational challenges to distribution grids." [8] Therefore the conventional passive system design have to be replaced by an active concept resulting in a change of the emphasis of cost efficient design.…”

Section: Relationship To Smart Systemsmentioning

confidence: 99%

A Generalized Geometric Programming Sub-problem of Transformer Design Optimization

Orosz

Nagy

Tamus

2017

IFIP Advances in Information and Communication Technology

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The first step in transformer design optimization is to solve a nonlinear optimization task. Here, not only the physical and technological requirements, but the economic aspects are also considered. Large number of optimization algorithms have been developed to solve this task. These methods result the optimal electrical parameters and the shape of the core and winding geometry. Most of them model the windings by their copper _lling factors. Therefore the transformer designer's next task, to find out the detailed winding arrangement, which fits to the optimization results. However, in the case of large power transformers, the calculation of some parameters like: winding gradients, short-circuit stresses etc., needs the knowledge of the exact wire dimensions and winding arrangement. Therefore, an other optimization task should be solved. This paper shows how this sub-problem can be formulated and solved as a generalized geometric program.

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Smart Transformer reliability and efficiency through modularity

Cited by 19 publications

References 13 publications

Hybrid Power Electronic Transformer Model for System-Level Benefits Quantification in Energy Distribution Systems

Hybrid Power Electronic Transformer Model for System-Level Benefits Quantification in Energy Distribution Systems

Comparison of voltage control methods of CHB converters for power routing in smart transformer

A Generalized Geometric Programming Sub-problem of Transformer Design Optimization

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