A Collaborative Optimization Model for Integrated Energy System Considering Multi-Load Demand Response

The integrated demand response strategy participates in the coordinated operation of the integrated energy system, which can effectively improve the flexibility and stability of the system operation. This paper adopts a multiple load demand response strategy to guide users’ energy consumption habits...

Full description

Bibliographic Details
Main Authors: Gejirifu De, Xinlei Wang, Xueqin Tian, Tong Xu, Zhongfu Tan
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/15/6/2033
_version_ 1797471831404314624
author Gejirifu De
Xinlei Wang
Xueqin Tian
Tong Xu
Zhongfu Tan
author_facet Gejirifu De
Xinlei Wang
Xueqin Tian
Tong Xu
Zhongfu Tan
author_sort Gejirifu De
collection DOAJ
description The integrated demand response strategy participates in the coordinated operation of the integrated energy system, which can effectively improve the flexibility and stability of the system operation. This paper adopts a multiple load demand response strategy to guide users’ energy consumption habits. Firstly, the cooperative operation structure of integrated energy system considering comprehensive demand response is designed by analyzing the characteristics of multiple loads. Secondly, according to the interactive relationship between the output exchange power and the demand response adjustment of units, a two-stage collaborative optimization model is established. Finally, results show that considering the demand response of electricity-heat-gas load requires higher output power flexibility of the generators and enhances the ability of the system to participate in the demand response. The overall economic benefit of the system can be improved, but the comprehensive satisfaction of users will be reduced.
first_indexed 2024-03-09T19:54:35Z
format Article
id doaj.art-e880628c68d146d1821fe16b6628e048
institution Directory Open Access Journal
issn 1996-1073
language English
last_indexed 2024-03-09T19:54:35Z
publishDate 2022-03-01
publisher MDPI AG
record_format Article
series Energies
spelling doaj.art-e880628c68d146d1821fe16b6628e0482023-11-24T01:03:30ZengMDPI AGEnergies1996-10732022-03-01156203310.3390/en15062033A Collaborative Optimization Model for Integrated Energy System Considering Multi-Load Demand ResponseGejirifu De0Xinlei Wang1Xueqin Tian2Tong Xu3Zhongfu Tan4State Grid Economic and Technological Research Ifigurenstitute Co., Ltd., Beijing 102209, ChinaState Grid Economic and Technological Research Ifigurenstitute Co., Ltd., Beijing 102209, ChinaState Grid Economic and Technological Research Ifigurenstitute Co., Ltd., Beijing 102209, ChinaState Grid Economic and Technological Research Ifigurenstitute Co., Ltd., Beijing 102209, ChinaDepartment of Economics and Management, North China Electric Power University, Beijing 102206, ChinaThe integrated demand response strategy participates in the coordinated operation of the integrated energy system, which can effectively improve the flexibility and stability of the system operation. This paper adopts a multiple load demand response strategy to guide users’ energy consumption habits. Firstly, the cooperative operation structure of integrated energy system considering comprehensive demand response is designed by analyzing the characteristics of multiple loads. Secondly, according to the interactive relationship between the output exchange power and the demand response adjustment of units, a two-stage collaborative optimization model is established. Finally, results show that considering the demand response of electricity-heat-gas load requires higher output power flexibility of the generators and enhances the ability of the system to participate in the demand response. The overall economic benefit of the system can be improved, but the comprehensive satisfaction of users will be reduced.https://www.mdpi.com/1996-1073/15/6/2033multi-load of electricity-heat-cooling-gas<i>IES</i>two-stage collaborative optimization
spellingShingle Gejirifu De
Xinlei Wang
Xueqin Tian
Tong Xu
Zhongfu Tan
A Collaborative Optimization Model for Integrated Energy System Considering Multi-Load Demand Response
Energies
multi-load of electricity-heat-cooling-gas
<i>IES</i>
two-stage collaborative optimization
title A Collaborative Optimization Model for Integrated Energy System Considering Multi-Load Demand Response
title_full A Collaborative Optimization Model for Integrated Energy System Considering Multi-Load Demand Response
title_fullStr A Collaborative Optimization Model for Integrated Energy System Considering Multi-Load Demand Response
title_full_unstemmed A Collaborative Optimization Model for Integrated Energy System Considering Multi-Load Demand Response
title_short A Collaborative Optimization Model for Integrated Energy System Considering Multi-Load Demand Response
title_sort collaborative optimization model for integrated energy system considering multi load demand response
topic multi-load of electricity-heat-cooling-gas
<i>IES</i>
two-stage collaborative optimization
url https://www.mdpi.com/1996-1073/15/6/2033
work_keys_str_mv AT gejirifude acollaborativeoptimizationmodelforintegratedenergysystemconsideringmultiloaddemandresponse
AT xinleiwang acollaborativeoptimizationmodelforintegratedenergysystemconsideringmultiloaddemandresponse
AT xueqintian acollaborativeoptimizationmodelforintegratedenergysystemconsideringmultiloaddemandresponse
AT tongxu acollaborativeoptimizationmodelforintegratedenergysystemconsideringmultiloaddemandresponse
AT zhongfutan acollaborativeoptimizationmodelforintegratedenergysystemconsideringmultiloaddemandresponse
AT gejirifude collaborativeoptimizationmodelforintegratedenergysystemconsideringmultiloaddemandresponse
AT xinleiwang collaborativeoptimizationmodelforintegratedenergysystemconsideringmultiloaddemandresponse
AT xueqintian collaborativeoptimizationmodelforintegratedenergysystemconsideringmultiloaddemandresponse
AT tongxu collaborativeoptimizationmodelforintegratedenergysystemconsideringmultiloaddemandresponse
AT zhongfutan collaborativeoptimizationmodelforintegratedenergysystemconsideringmultiloaddemandresponse