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Article: Distributed Energy Management of Multi-Entity Integrated Electricity and Heat Systems: A Review of Architectures, Optimization Algorithms, and Prospects

TitleDistributed Energy Management of Multi-Entity Integrated Electricity and Heat Systems: A Review of Architectures, Optimization Algorithms, and Prospects
Authors
KeywordsCogeneration
Computer architecture
distributed optimization
Energy management
Heat engines
Heating systems
Integrated electricity and heat system
multi-entity coordination
Optimization
Resistance heating
Issue Date1-Jan-2023
PublisherInstitute of Electrical and Electronics Engineers
Citation
IEEE Transactions on Smart Grid, 2023 How to Cite?
Abstract

Synergies among multiple energy sectors in an integrated electricity and heat system (IEHS) improve energy efficiency, economic operation and renewable energy utilization, thus contributing to a sustainable society. In reality, however, energy sectors are owned and operated by different entities, constituting a multi-entity integrated electricity and heat system (ME-IEHS). This calls for distributed energy management due to the curse of dimensionality and privacy concerns. Specifically, it is challenging to achieve socially optimal coordination using local information and limited information exchange, while the key to distributed energy management is to decompose the integrated energy management problem into smaller subproblems for interactive entities, respectively. This paper first explains the fundamentals of IEHSs including the definition of entities. According to the interactions among entities, this paper then establishes and compares the current energy management architectures. Distributed optimization algorithms supporting distributed energy management of the IEHS are systematically reviewed, while the extension to deal with uncertainties in a distributed fashion is also summarized. Finally, future research directions regarding the strategic behaviors yielded from multi-stakeholders and the distributed learning solution are envisioned.


Persistent Identifierhttp://hdl.handle.net/10722/338403
ISSN
2021 Impact Factor: 10.275
2020 SCImago Journal Rankings: 3.571

 

DC FieldValueLanguage
dc.contributor.authorZheng, W-
dc.contributor.authorLu, H-
dc.contributor.authorZhang, M-
dc.contributor.authorWu, Q-
dc.contributor.authorHou, Y-
dc.contributor.authorZhu, J-
dc.date.accessioned2024-03-11T10:28:35Z-
dc.date.available2024-03-11T10:28:35Z-
dc.date.issued2023-01-01-
dc.identifier.citationIEEE Transactions on Smart Grid, 2023-
dc.identifier.issn1949-3053-
dc.identifier.urihttp://hdl.handle.net/10722/338403-
dc.description.abstract<p>Synergies among multiple energy sectors in an integrated electricity and heat system (IEHS) improve energy efficiency, economic operation and renewable energy utilization, thus contributing to a sustainable society. In reality, however, energy sectors are owned and operated by different entities, constituting a multi-entity integrated electricity and heat system (ME-IEHS). This calls for distributed energy management due to the curse of dimensionality and privacy concerns. Specifically, it is challenging to achieve socially optimal coordination using local information and limited information exchange, while the key to distributed energy management is to decompose the integrated energy management problem into smaller subproblems for interactive entities, respectively. This paper first explains the fundamentals of IEHSs including the definition of entities. According to the interactions among entities, this paper then establishes and compares the current energy management architectures. Distributed optimization algorithms supporting distributed energy management of the IEHS are systematically reviewed, while the extension to deal with uncertainties in a distributed fashion is also summarized. Finally, future research directions regarding the strategic behaviors yielded from multi-stakeholders and the distributed learning solution are envisioned.</p>-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.relation.ispartofIEEE Transactions on Smart Grid-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectCogeneration-
dc.subjectComputer architecture-
dc.subjectdistributed optimization-
dc.subjectEnergy management-
dc.subjectHeat engines-
dc.subjectHeating systems-
dc.subjectIntegrated electricity and heat system-
dc.subjectmulti-entity coordination-
dc.subjectOptimization-
dc.subjectResistance heating-
dc.titleDistributed Energy Management of Multi-Entity Integrated Electricity and Heat Systems: A Review of Architectures, Optimization Algorithms, and Prospects-
dc.typeArticle-
dc.identifier.doi10.1109/TSG.2023.3310947-
dc.identifier.scopuseid_2-s2.0-85169664223-
dc.identifier.eissn1949-3061-
dc.identifier.issnl1949-3053-

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