Power Distribution Algorithm and Steady-State Operation Analysis of a Modular Multiactive Bridge Converter

Ortega, Leonardo; Zumel, P.; Fernández, Cristina; López-Tenorio, Jaime; Lázaro, A.; Barrado, A.

doi:10.1109/tte.2020.3010003

Cited by 16 publications

(4 citation statements)

References 76 publications

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“…Furthermore, to bypass the idle source port, a bypass switch can be added in parallel with the corresponding transformer. Multiport DAB converters in [218] and [219] are constructed with an array of modules, where each module is based on active full bridges and independent transformers and connects to one port. This approach allows for full isolation and hot connection/disconnection of modules due to many transformers.…”

Section: ) Multiport Dab/dab3mentioning

confidence: 99%

Review of Dual-Active-Bridge Converters With Topological Modifications

Sha

et al. 2023

IEEE Trans. Power Electron.

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Section: ) Multiport Dab/dab3mentioning

confidence: 99%

Review of Dual-Active-Bridge Converters With Topological Modifications

Sha

et al. 2023

IEEE Trans. Power Electron.

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“…Many other topologies with different numbers of ports and power components are derived from the basic topology in Figure 2, for different proposes and applications, such as resonant MAB converters [130][131][132][133], and modular multi-active bridge (MMAB) converters [147][148][149][150]. These derived topologies are discussed further in the last section of the paper.…”

Section: Topology Of the Mab Convertermentioning

confidence: 99%

“…Control-level decoupling approaches can be applied to attenuate the interactions [148]. An iterative algorithm is proposed in [147] and applied to solve the nonlinear control equations and obtain the desired values of phase shifts (control inputs) to have independent power flow control. In one study [150], a dq-frame representation of the active power transfers is demonstrated, and the power flow decoupling term is derived to be implemented using feedforward in the control system.…”

mentioning

confidence: 99%

A Survey on Multi-Active Bridge DC-DC Converters: Power Flow Decoupling Techniques, Applications, and Challenges

et al. 2023

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Multi-port DC-DC converters are a promising solution for a wide range of applications involving multiple DC sources, storage elements, and loads. Multi-active bridge (MAB) converters have attracted the interest of researchers over the past two decades due to their potential advantages such as high power density, high transfer ratio, and galvanic isolation, for example, compared to other solutions. However, the coupled power flow nature of MAB converters makes their control implementation difficult, and due to the multi-input, multi-output (MIMO) structure of their control systems, a decoupling control strategy must be designed. Various control and topology-level strategies are proposed to mitigate the coupling effect. This paper discusses the operating principles, applications, methods for analyzing power flow, advanced modulation techniques, and small signal modelling of the MAB converter. Having explained the origin of cross-coupling, the existing power flow decoupling methods are reviewed, categorized, and compared in terms of effectiveness and implementation complexity.

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“…With the development of more electric aircraft (MEA) and all electric aircraft (AEA), the type and quantity of electrical equipment on-board are increasing rapidly [1], and the power grid structure has also become more complex [2]. The problem of power distribution will arise [3].…”

Section: Introductionmentioning

confidence: 99%

Load Identification for the More Electric Aircraft Distribution System Based on Intelligent Algorithm

2022

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Accurate identification of electrical load working status can provide information support to the remote electrical distribution system (EDS) of more electric aircraft (MEA), which could use it to realize redundant switching and protection. This paper presents a method to automatically identify the load status on the remote power distribution unit (RPDU) of MEA by using an intelligent algorithm. The experimental platform is built in an aircraft Electrical Power System (EPS) distribution large-scale test cabin. Four pieces of typical aviation equipment are installed in the test cabin and powered from RPDU. Voltage and current values under 15 working combinations on the RPDU are measured to extract the steady-state V-I trajectory. In total, 750 group samples were collected in the feature parameter database. A generalized regression neural network (GRNN) identification model was established, and the smoothing factor was calculated by using a conventional cross-validation method to train and reach an optimal value. However, the identification results are not ideal. In order to improve the accuracy, the parameter of GRNN was optimized by genetic algorithms. The proposed model shows great performance as accuracy of all 15 classifications reached 100%. The proposed model has advantages of flexible network structure, high fault tolerance, and robustness. It can realize global approximation optimization, avoid local optimization, effectively improve GRNN fitting accuracy, improve model generalization ability, and reduce model training calculation.

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Power Distribution Algorithm and Steady-State Operation Analysis of a Modular Multiactive Bridge Converter

Cited by 16 publications

References 76 publications

Review of Dual-Active-Bridge Converters With Topological Modifications

Review of Dual-Active-Bridge Converters With Topological Modifications

A Survey on Multi-Active Bridge DC-DC Converters: Power Flow Decoupling Techniques, Applications, and Challenges

Load Identification for the More Electric Aircraft Distribution System Based on Intelligent Algorithm

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