Computer-Aided Systematic Topology Derivation of Single-Inductor Multi-Input Multi-Output Converters From Working Principle

Mo, Li‐Ping; Huang, Jiangming; Chen, Guipeng; Qing, Xinlin; Hu, Yihua

doi:10.1109/tcsi.2022.3159718

Cited by 18 publications

(3 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Following the trend of computer-aided design, Mo et al [38] utilize a basic model of a MIMO converter with a single inductor and several switches to create novel MPCs. Initially, all possible combinations coming from the basic model are found.…”

Section: Converters Derived Using Programmable and Graph Theory Methodsmentioning

confidence: 99%

Review on Non-Isolated Multiport Converters for Residential DC Microgrids

Salagiannis,

Tatakis

2023

Energies

View full text Add to dashboard Cite

Nowadays, energy sustainability needs drive the development of novel power system architectures that efficiently harvest and deliver green energy. Specifically, DC Microgrids (DC-MG) have emerged as promising bases for distributed power generation, especially in residential applications. The pivotal role of power conversion and the need for more affordable and compact converters has led to an increasing research interest. MultiPort Converters (MPCs) exhibit beneficial operational characteristics for these applications and, therefore, a plethora of different topologies is suggested in the literature. Even though there have been some attempts to organize and review the field status, the categorization is based on the existence or not of isolation between the converter’s ports, without providing insight on the topology conception. In this article, a literature review is conducted to specify the most suitable non-isolated MPC topologies for residential DC-MGs. Converters with a power rating ranging from 0.1 to 1 kW are compared based on technical features and categorized according to their topology derivation process. This procedure is performed separately for MPCs suitable for unipolar and bipolar DC Buses. The selected approach highlights the design basis for each MPC in a structured manner, facilitating further development of original converters by both new and experienced researchers.

show abstract

Section: Converters Derived Using Programmable and Graph Theory Methodsmentioning

confidence: 99%

Review on Non-Isolated Multiport Converters for Residential DC Microgrids

Salagiannis,

Tatakis

2023

Energies

View full text Add to dashboard Cite

show abstract

“…On the other hand, considerable research works deal with the topology derivation challenges covering from DC-DC converters [9,10], DC-AC inverters [37], multiport converters [10,61], switched-capacitor converters [8], as well as works towards power converters in general [11,12]. In particular, The topology automatic generation and search is a challenging and trending theme, where works focused on non-resonant dc-dc converters [25], single-inductor multi-input multi-output converters [32], multi-port hybrid circuit breakers [28] and vertex prime degree-based DC-DC converters with two switches [31] representing some most interesting recent progress.…”

Section: B Recent Developmentsmentioning

confidence: 99%

“…Serving as a common language among various disciplines, graph theory can be leveraged as a powerful tool to enable systematic modelling and analysis [3][4][5][6][7], design new converters [8][9][10][11][12], control their operations [13,14], estimate and identify potential issues [15][16][17], optimize the systems [18][19][20], or even facilitate the understanding of the interconnections and interactions between components in power-electronics-based systems [21][22][23]. Especially in recent years, innovative research keeps emerging, covering component-level, converter-level and system-level of power electronics [24][25][26][27][28][29][30][31][32][33][34][35][36][37]. Leveraging the power of graph, these research works not only feature systematic understanding but also open more possibilities, e.g., integrated with automation and AI.…”

Section: Introductionmentioning

confidence: 99%

From Graph Theory to Graph Neural Networks (GNNs): The Opportunities of GNNs in Power Electronics

Li,

Xue,

Zargari

et al. 2023

IEEE Access

View full text Add to dashboard Cite

Graph theory within power electronics, developed over a 50-year span, is continually evolving, necessitating ongoing research endeavors. Facing with the never-been-seen explosion of graphstructured data, the state-of-the-art deep learning technique-Graph Neural Networks (GNNs), becomes the leading trend in machine learning within just recent five years and demonstrated surprisingly broad and prominent benefits covering from new drug discovery to better IC design. However, its promising applications in Power Electronics are still rarely discussed and its full potential remains unexplored. Addressing this gap, this review paper is the first to outline GNNs' general workflow in power electronics, laying the groundwork and examining current GNN methodologies within the field. To bridge the gap in the sparse GNN literature within this domain, we also provide extended discussions on leveraging insights from GNN-aided circuit design to enrich power electronics research. Our work includes in-depth GNNbased case studies that demonstrate promising applications from converters to system-level power electronics, showcasing GNNs' unique benefits and untapped possibilities (e.g., accurate component design, voltage predictions on IEEE-13 bus and 118 bus systems). Additionally, we provide a comprehensive survey of GNNs' latest and successful applications, emphasizing their impact on energy-centric sectors, such as transportation electrification, smart grids. Considering the interdisciplinary nature of power electronics in modern energy systems, our review highlights the potential of GNNs emerge as a promising tool to decode the intricate behavior and dynamics of power electronics systems, and we hope such synergies between advanced AI methodologies like GNNs with the ever-evolving graph theory can lead to more powerful tools, novel methodologies, and advancements in the power electronics community.

show abstract

Integration of multiple sources for fuel cell hybrid electric vehicles using single inductor multi-input converter

Sundarakamath,

Natarajan

2024

International Journal of Hydrogen Energy

View full text Add to dashboard Cite

Computer-Aided Systematic Topology Derivation of Single-Inductor Multi-Input Multi-Output Converters From Working Principle

Cited by 18 publications

References 32 publications

Review on Non-Isolated Multiport Converters for Residential DC Microgrids

Review on Non-Isolated Multiport Converters for Residential DC Microgrids

From Graph Theory to Graph Neural Networks (GNNs): The Opportunities of GNNs in Power Electronics

Integration of multiple sources for fuel cell hybrid electric vehicles using single inductor multi-input converter

Contact Info

Product

Resources

About