A Multi-heat source idendification method based on integrated Energy Systems

In this paper, a multiple heat source identification method based on the Integrated Energy System Toolbox is proposed with the aim of optimizing the heat source identification process in Integrated Energy Systems (IES). With this method, not only the number of identifiable heat sources is increased, but also the range of identifiable heat source types is expanded. We have completed the mathematical modeling of the multi-heat source heat supply system, which provides the theoretical basis and technical support for the subsequent refined modeling and scheduling optimization of the IES. With the help of MATLAB/Simulink platform, we constructed three dynamic model libraries including models of power grid, gas network and heat pipe network, as well as models of combined heat and power production (CHP), gas boiler (GB) and heat pump (HP). The toolbox supports the realization of simulation of coupled power-heat-gas networks, and the feasibility and adaptability of its model libraries have been verified by examples. The experimental results show that the proposed method can effectively identify different types of heat sources, and the application of the case study of Qingdao Sino-German Eco-Park IES has successfully realized the energy flow calculation under multiple heat source systems, which proves the validity and practicality of the method.

Authors

Institutions

Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/aees63781.2024.10872449
Primary Topic
Advanced Algorithms and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Multi-heat source idendification method based on integrated Energy Systems

Yuanyuan Yi, Boqiang Li, Gang Lei, Z. Wu et al.
Advanced Algorithms and Applications
article

A Multi-heat source idendification method based on integrated Energy Systems

Yuanyuan Yi, Boqiang Li, Gang Lei, Z. Wu, Weiqiang Hu, Jia Cao
article en

Abstract

In this paper, a multiple heat source identification method based on the Integrated Energy System Toolbox is proposed with the aim of optimizing the heat source identification process in Integrated Energy Systems (IES). With this method, not only the number of identifiable heat sources is increased, but also the range of identifiable heat source types is expanded. We have completed the mathematical modeling of the multi-heat source heat supply system, which provides the theoretical basis and technical support for the subsequent refined modeling and scheduling optimization of the IES. With the help of MATLAB/Simulink platform, we constructed three dynamic model libraries including models of power grid, gas network and heat pipe network, as well as models of combined heat and power production (CHP), gas boiler (GB) and heat pump (HP). The toolbox supports the realization of simulation of coupled power-heat-gas networks, and the feasibility and adaptability of its model libraries have been verified by examples. The experimental results show that the proposed method can effectively identify different types of heat sources, and the application of the case study of Qingdao Sino-German Eco-Park IES has successfully realized the energy flow calculation under multiple heat source systems, which proves the validity and practicality of the method.

Shandong University (CN), Inspur (China) (CN), China Power Engineering Consulting Group (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 67%
Advanced Algorithms and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Multi-heat source idendification method based on integrated Energy Systems — Yuanyuan Yi, Boqiang Li, et al. · (2024) | TGRS Research Map | TGRS