基于复杂网络理论的能源路由器物理层模型及配置策略

Chenlei Wang; Da Xie; Chenghong Gu

doi:10.13334/j.0258-8013.pcsee.212419

基于复杂网络理论的能源路由器物理层模型及配置策略

Translated title of the contribution: Physical Layer Model and Configuration Strategy of Energy Router Based on the Complex Network Theory

Chenlei Wang
, Da Xie
, Chenghong Gu

Shanghai Jiao Tong University

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

9 Citations (SciVal)

Abstract

Aiming at the efficient utilization of renewable distributed energy, the energy router (ER) needs to realize the coordinated management of multiple forms of energy in the energy Internet and ensure the safe and reliable operation of the power grid. This paper firstly proposes an energy router model and composition structure based on the functions of the energy router. Secondly, we establish an organic connection between the abstract model and physical layer of the ER system based on complex network theory. Then, based on the electrical characteristics of the nodes in the system, the community composition of the system is analyzed by the Girvan-Newman (GN) algorithm which considers the node weights, and the network structure of the ER system is formed. Subsequently, the ER physical layer network configuration model is proposed considering the economy and energy loss characteristics. Finally, the calculation example shows that the proposed algorithm can effectively determine and configure the network structure of the ER system.

Translated title of the contribution	Physical Layer Model and Configuration Strategy of Energy Router Based on the Complex Network Theory
Original language	Chinese (Traditional)
Pages (from-to)	2666-2676
Number of pages	11
Journal	Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering
Volume	43
Issue number	7
DOIs	https://doi.org/10.13334/j.0258-8013.pcsee.212419
Publication status	Published - 5 Apr 2023

Bibliographical note

Funding Information:
基金项目：上海市科委社会发展科技项目：多能形式的能源路由器关键技术研究与示范项目(18DZ1203700)。 Project Supported by Science and technology project of Shanghai Science and Technology Commission: Research and Demonstration on Key Technologies of Multi-Energy Routers (18DZ1203700).

Funding

基金项目：上海市科委社会发展科技项目：多能形式的能源路由器关键技术研究与示范项目(18DZ1203700)。 Project Supported by Science and technology project of Shanghai Science and Technology Commission: Research and Demonstration on Key Technologies of Multi-Energy Routers (18DZ1203700).

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

complex network theory
configuration strategy
energy router
Girvan-Newman algorithm
topology generation

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.13334/j.0258-8013.pcsee.212419

Cite this

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title = "基于复杂网络理论的能源路由器物理层模型及配置策略",

abstract = "Aiming at the efficient utilization of renewable distributed energy, the energy router (ER) needs to realize the coordinated management of multiple forms of energy in the energy Internet and ensure the safe and reliable operation of the power grid. This paper firstly proposes an energy router model and composition structure based on the functions of the energy router. Secondly, we establish an organic connection between the abstract model and physical layer of the ER system based on complex network theory. Then, based on the electrical characteristics of the nodes in the system, the community composition of the system is analyzed by the Girvan-Newman (GN) algorithm which considers the node weights, and the network structure of the ER system is formed. Subsequently, the ER physical layer network configuration model is proposed considering the economy and energy loss characteristics. Finally, the calculation example shows that the proposed algorithm can effectively determine and configure the network structure of the ER system.",

keywords = "complex network theory, configuration strategy, energy router, Girvan-Newman algorithm, topology generation",

author = "Chenlei Wang and Da Xie and Chenghong Gu",

note = "Funding Information: 基金项目：上海市科委社会发展科技项目：多能形式的能源路由器关键技术研究与示范项目(18DZ1203700)。 Project Supported by Science and technology project of Shanghai Science and Technology Commission: Research and Demonstration on Key Technologies of Multi-Energy Routers (18DZ1203700). ",

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doi = "10.13334/j.0258-8013.pcsee.212419",

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pages = "2666--2676",

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AU - Wang, Chenlei

AU - Xie, Da

AU - Gu, Chenghong

N1 - Funding Information: 基金项目：上海市科委社会发展科技项目：多能形式的能源路由器关键技术研究与示范项目(18DZ1203700)。 Project Supported by Science and technology project of Shanghai Science and Technology Commission: Research and Demonstration on Key Technologies of Multi-Energy Routers (18DZ1203700).

PY - 2023/4/5

Y1 - 2023/4/5

N2 - Aiming at the efficient utilization of renewable distributed energy, the energy router (ER) needs to realize the coordinated management of multiple forms of energy in the energy Internet and ensure the safe and reliable operation of the power grid. This paper firstly proposes an energy router model and composition structure based on the functions of the energy router. Secondly, we establish an organic connection between the abstract model and physical layer of the ER system based on complex network theory. Then, based on the electrical characteristics of the nodes in the system, the community composition of the system is analyzed by the Girvan-Newman (GN) algorithm which considers the node weights, and the network structure of the ER system is formed. Subsequently, the ER physical layer network configuration model is proposed considering the economy and energy loss characteristics. Finally, the calculation example shows that the proposed algorithm can effectively determine and configure the network structure of the ER system.

AB - Aiming at the efficient utilization of renewable distributed energy, the energy router (ER) needs to realize the coordinated management of multiple forms of energy in the energy Internet and ensure the safe and reliable operation of the power grid. This paper firstly proposes an energy router model and composition structure based on the functions of the energy router. Secondly, we establish an organic connection between the abstract model and physical layer of the ER system based on complex network theory. Then, based on the electrical characteristics of the nodes in the system, the community composition of the system is analyzed by the Girvan-Newman (GN) algorithm which considers the node weights, and the network structure of the ER system is formed. Subsequently, the ER physical layer network configuration model is proposed considering the economy and energy loss characteristics. Finally, the calculation example shows that the proposed algorithm can effectively determine and configure the network structure of the ER system.

KW - complex network theory

KW - configuration strategy

KW - energy router

KW - Girvan-Newman algorithm

KW - topology generation

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基于复杂网络理论的能源路由器物理层模型及配置策略

Abstract

Bibliographical note

Funding

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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