Joint Optimization of Planning and Operation in Multi-Region Integrated Energy Systems Considering Flexible Demand Response

The multi-region integrated energy system (MRIES) is one promising option for exploiting the complementarity potentials between power system, thermal system and loads, as well as improving flexibility and economic competitiveness. However, the optimal planning has remained challenging since it invol...

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Main Authors: Shan Gao, Tiancheng E. Song, Sai Liu, Cheng Zhou, Chenkai Xu, Haomin Guo, Xiaogang Li, Zheng Li, Yu Liu, Weiyi Jiang, Juncheng Wang, Sicheng Wang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9435318/
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author Shan Gao
Tiancheng E. Song
Sai Liu
Cheng Zhou
Chenkai Xu
Haomin Guo
Xiaogang Li
Zheng Li
Yu Liu
Weiyi Jiang
Juncheng Wang
Sicheng Wang
author_facet Shan Gao
Tiancheng E. Song
Sai Liu
Cheng Zhou
Chenkai Xu
Haomin Guo
Xiaogang Li
Zheng Li
Yu Liu
Weiyi Jiang
Juncheng Wang
Sicheng Wang
author_sort Shan Gao
collection DOAJ
description The multi-region integrated energy system (MRIES) is one promising option for exploiting the complementarity potentials between power system, thermal system and loads, as well as improving flexibility and economic competitiveness. However, the optimal planning has remained challenging since it involves multiple forms of energies with the nature of coupling. A mixed integer linear programming (MILP) model is proposed for joint optimization of MRIES planning and operation, which considers the flexible load’s demand response (DR). It is realized by combining the multi-region heating network IES coupling model with the flexible cooling-heating-electric load DR model. The results show that the proposed model can assist planners to comprehensively analyze and evaluate the impacts of multiple factors on planning, and to determine the optimal planning configuration and operation strategy.
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spelling doaj.art-42cf95d5a21d48a6b50d63099c85cee92022-12-21T22:05:12ZengIEEEIEEE Access2169-35362021-01-019758407586310.1109/ACCESS.2021.30817989435318Joint Optimization of Planning and Operation in Multi-Region Integrated Energy Systems Considering Flexible Demand ResponseShan Gao0https://orcid.org/0000-0002-9632-205XTiancheng E. Song1https://orcid.org/0000-0003-2950-6526Sai Liu2https://orcid.org/0000-0002-0786-2151Cheng Zhou3Chenkai Xu4Haomin Guo5Xiaogang Li6Zheng Li7https://orcid.org/0000-0003-1516-5978Yu Liu8https://orcid.org/0000-0002-0823-5141Weiyi Jiang9Juncheng Wang10Sicheng Wang11https://orcid.org/0000-0003-0965-3342School of Electrical Engineering, Southeast University, Nanjing, ChinaSchool of Electrical Engineering, Southeast University, Nanjing, ChinaMaintenance Branch Company, State Grid Jiangsu Electric Power Company Ltd., Nanjing, ChinaKunshan Power Supply Branch Company, State Grid Jiangsu Electric Power Company Ltd., Kunshan, ChinaMaintenance Branch Company, State Grid Jiangsu Electric Power Company Ltd., Nanjing, ChinaXiamen Power Supply Company, State Grid Fujian Electric Power Company Ltd., Xiamen, ChinaMaintenance Branch Company, State Grid Jiangsu Electric Power Company Ltd., Nanjing, ChinaMaintenance Branch Company, State Grid Jiangsu Electric Power Company Ltd., Nanjing, ChinaSchool of Electrical Engineering, Southeast University, Nanjing, ChinaMaintenance Branch Company, State Grid Jiangsu Electric Power Company Ltd., Nanjing, ChinaMaintenance Branch Company, State Grid Jiangsu Electric Power Company Ltd., Nanjing, ChinaSchool of Electrical Engineering, Southeast University, Nanjing, ChinaThe multi-region integrated energy system (MRIES) is one promising option for exploiting the complementarity potentials between power system, thermal system and loads, as well as improving flexibility and economic competitiveness. However, the optimal planning has remained challenging since it involves multiple forms of energies with the nature of coupling. A mixed integer linear programming (MILP) model is proposed for joint optimization of MRIES planning and operation, which considers the flexible load’s demand response (DR). It is realized by combining the multi-region heating network IES coupling model with the flexible cooling-heating-electric load DR model. The results show that the proposed model can assist planners to comprehensively analyze and evaluate the impacts of multiple factors on planning, and to determine the optimal planning configuration and operation strategy.https://ieeexplore.ieee.org/document/9435318/Multi-region integrated energy systemregional thermal networkflexible demand responseplanning and operationmixed integer linear programming
spellingShingle Shan Gao
Tiancheng E. Song
Sai Liu
Cheng Zhou
Chenkai Xu
Haomin Guo
Xiaogang Li
Zheng Li
Yu Liu
Weiyi Jiang
Juncheng Wang
Sicheng Wang
Joint Optimization of Planning and Operation in Multi-Region Integrated Energy Systems Considering Flexible Demand Response
IEEE Access
Multi-region integrated energy system
regional thermal network
flexible demand response
planning and operation
mixed integer linear programming
title Joint Optimization of Planning and Operation in Multi-Region Integrated Energy Systems Considering Flexible Demand Response
title_full Joint Optimization of Planning and Operation in Multi-Region Integrated Energy Systems Considering Flexible Demand Response
title_fullStr Joint Optimization of Planning and Operation in Multi-Region Integrated Energy Systems Considering Flexible Demand Response
title_full_unstemmed Joint Optimization of Planning and Operation in Multi-Region Integrated Energy Systems Considering Flexible Demand Response
title_short Joint Optimization of Planning and Operation in Multi-Region Integrated Energy Systems Considering Flexible Demand Response
title_sort joint optimization of planning and operation in multi region integrated energy systems considering flexible demand response
topic Multi-region integrated energy system
regional thermal network
flexible demand response
planning and operation
mixed integer linear programming
url https://ieeexplore.ieee.org/document/9435318/
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