Optimal Design and Configuration Strategy for the Physical Layer of Energy Router Based on the Complex Network Theory

Mingjie Pan; Da Xie; Chenlei Wang; Pengfei Ju; Chenghong Gu

doi:10.1109/TSG.2023.3243028

Optimal Design and Configuration Strategy for the Physical Layer of Energy Router Based on the Complex Network Theory

Mingjie Pan, Da Xie, Chenlei Wang, Pengfei Ju, Chenghong Gu

Research output: Contribution to journal › Article › peer-review

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Abstract

The energy router (ER) is key to realizing the coordinated management and efficient utilization of multiple forms of energy in Energy Internet. This paper proposes a novel design and configuration method for the physical layer of ER by using complex network theory. Firstly, an abstract model of the physical layer of ER is introduced according to its function, and important modules in the model are illustrated in details. Secondly, based on the electrical characteristics of ports, the community structure of the power networks inside ER is analyzed by the improved Girvan-Newman (GN) algorithm to design the independent bus systems (IBSs) and generate the network topology of the physical layer. Then, the optimization model of equipment configuration of the power supply and distribution systems of ER is developed considering the economy, utilization efficiency, and power supply reliability. Finally, two case studies demonstrate that the proposed strategy can effectively accomplish the module-level structure design and device configuration for the physical layer of ER.

Original language	English
Pages (from-to)	3512-3522
Number of pages	11
Journal	IEEE Transactions on Smart Grid
Volume	14
Issue number	5
DOIs	https://doi.org/10.1109/TSG.2023.3243028
Publication status	Published - 1 Sept 2023

Funding

This work was supported in part by the Shanghai Science and Technology Commission: Research and Demonstration through the Key Technologies of Multi-Energy Routers under Grant 18DZ1203700.

Funders	Funder number
Science and Technology Commission of Shanghai Municipality	18DZ1203700

Keywords

Physical layer of energy router
optimal configuration strategy
structure design
the complex 20 network theory

ASJC Scopus subject areas

General Computer Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/TSG.2023.3243028

Optimal_Design_and_Configuration_Strategy_for_the_Physical_Layer_of_Energy_Router_Based_on_the_Complex_Network_Theory
© 2023 IEEE. Personal use is permitted, but republication/ redistribution requires IEEE permission. See https://www.ieee.org/publications/rights/index.html for more information. This article has been accepted for publication in IEEE Transactions on Smart Grid. This is the author's version which has not been fully edited and content may change prior to final publication. Citation information: DOI 10.1109/TSG.2023.3243028
Accepted author manuscript, 1.16 MB

Cite this

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abstract = "The energy router (ER) is key to realizing the coordinated management and efficient utilization of multiple forms of energy in Energy Internet. This paper proposes a novel design and configuration method for the physical layer of ER by using complex network theory. Firstly, an abstract model of the physical layer of ER is introduced according to its function, and important modules in the model are illustrated in details. Secondly, based on the electrical characteristics of ports, the community structure of the power networks inside ER is analyzed by the improved Girvan-Newman (GN) algorithm to design the independent bus systems (IBSs) and generate the network topology of the physical layer. Then, the optimization model of equipment configuration of the power supply and distribution systems of ER is developed considering the economy, utilization efficiency, and power supply reliability. Finally, two case studies demonstrate that the proposed strategy can effectively accomplish the module-level structure design and device configuration for the physical layer of ER.",

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Optimal Design and Configuration Strategy for the Physical Layer of Energy Router Based on the Complex Network Theory

Abstract

Funding

Keywords

ASJC Scopus subject areas

UN SDGs

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