Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

A unified energy bus based multi-energy flow modeling method of integrated energy system

Li, Peng, Dong, Bo, Yu, Hao, Wang, Chengshan, Huo, Yanda, Li, Shuquan and Wu, Jianzhong ORCID: https://orcid.org/0000-0001-7928-3602 2019. A unified energy bus based multi-energy flow modeling method of integrated energy system. Energy Procedia 159 , pp. 418-423. 10.1016/j.egypro.2018.12.066

[thumbnail of main.pdf] PDF - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (676kB)

Abstract

With the development of energy technologies, the electricity, cooling, heat, natural gas and other energy sources are tightly linked to improve the overall efficiency of energy system in integrated energy systems (IES). As the basis of optimization and simulation, the standardized modeling method of IES has become a challenge considering the deeply coupling of multi-energy resources. This paper proposes an energy bus structure that could realize the systematic modeling of IES. By adopting energy bus model, the components and the structure of IES can be mathematically presented. Then the matrix-based modeling method is proposed to describe the topology of the IES and the characteristics of energy converters. The equations that describe the energy flow relationship of the entire system can be listed out. Finally, a case study of Northern Customer Service Center (NCSC) of State Grid Corporation of China is conducted to verify the effectiveness of the proposed method.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: Elsevier
ISSN: 1876-6102
Date of First Compliant Deposit: 1 July 2019
Last Modified: 04 May 2023 23:16
URI: https://orca.cardiff.ac.uk/id/eprint/123806

Citation Data

Cited 10 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics