Bi-Level Optimization of the Integrated Energy System with Flexible Thermoelectric Ratio Adjustment

This paper introduces an optimization scheduling model for integrated energy systems that incorporates flexible thermoelectric ratio adjustment to address issues such as limited regulation capacity and energy supply-demand mismatches found in traditional systems. By employing energy storage devices and supplementary combustion waste heat boilers, the thermoelectric ratio can be adjusted flexibly. Additionally, it introduces demand-side response based on time-of-use electricity pricing for optimization scheduling, implements optimization strategies through bi-level optimization, verifies the model's feasibility and practical value, and achieves cost savings of approximately 6.8255%. This paper holds significant theoretical importance in advancing the development of integrated energy systems and in alleviating pressure on power grids.

Authors

Institutions

Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1109/cac63892.2024.10865437
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bi-Level Optimization of the Integrated Energy System with Flexible Thermoelectric Ratio Adjustment

S. Y. Shi, Che Liu, Xiangxue Ma, Xin Ma et al.
2 links
Integrated Energy Systems Optimization
article

Bi-Level Optimization of the Integrated Energy System with Flexible Thermoelectric Ratio Adjustment

S. Y. Shi, Che Liu, Xiangxue Ma, Xin Ma, Changbin Tian, Bo Peng
article en

Abstract

This paper introduces an optimization scheduling model for integrated energy systems that incorporates flexible thermoelectric ratio adjustment to address issues such as limited regulation capacity and energy supply-demand mismatches found in traditional systems. By employing energy storage devices and supplementary combustion waste heat boilers, the thermoelectric ratio can be adjusted flexibly. Additionally, it introduces demand-side response based on time-of-use electricity pricing for optimization scheduling, implements optimization strategies through bi-level optimization, verifies the model's feasibility and practical value, and achieves cost savings of approximately 6.8255%. This paper holds significant theoretical importance in advancing the development of integrated energy systems and in alleviating pressure on power grids.

Shandong Jianzhu University (CN)
Affordable and clean energy
Openalex Percentile: Top 75%
Integrated Energy Systems Optimization
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.

Bi-Level Optimization of the Integrated Energy System with Flexible Thermoelectric Ratio Adjustment — S. Y. Shi, Che Liu, et al. · (2024) | TGRS Research Map | TGRS