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Article: Energy and Reserve Sharing Considering Uncertainty and Communication Resources

TitleEnergy and Reserve Sharing Considering Uncertainty and Communication Resources
Authors
KeywordsCommunication-censored alternating direction method of multipliers (ADMMs)
distributionally robust optimization
energy sharing
reserve sharing
Issue Date15-Jul-2023
PublisherInstitute of Electrical and Electronics Engineers
Citation
IEEE Internet of Things Journal, 2023, v. 10, n. 14, p. 12627-12637 How to Cite?
Abstract

In this article, we study the joint energy and reserve sharing problem considering renewable generation uncertainty and limited communication resources. We propose a data-driven distributionally robust energy and reserve sharing model among different agents in electricity markets. We put forward data-driven distributionally robust chance constraints (DRCC) to determine the reserve capacity, which cannot be directly solved. The inner approximation is employed to convert the DRCC into tractable linear constraints. Taking into account the agents in the Internet of Things exchange information by a resource-limited communication network, we develop a communication-censored consensus alternating direction method of multipliers (ADMMs) to utilize the limited communication resources and solve the sharing problem in a fully decentralized manner. We analyze the convergence of the proposed algorithm, and propose an adaptive penalty parameter method to speed up the convergence. Extensive simulations are conducted to verify the effectiveness of the proposed model and theoretical results.


Persistent Identifierhttp://hdl.handle.net/10722/338397
ISSN
2023 Impact Factor: 8.2
2023 SCImago Journal Rankings: 3.382
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLiu, W-
dc.contributor.authorXu, Y-
dc.contributor.authorLiu, J-
dc.contributor.authorYin, W-
dc.contributor.authorHou, Y-
dc.contributor.authorYang, Z-
dc.date.accessioned2024-03-11T10:28:32Z-
dc.date.available2024-03-11T10:28:32Z-
dc.date.issued2023-07-15-
dc.identifier.citationIEEE Internet of Things Journal, 2023, v. 10, n. 14, p. 12627-12637-
dc.identifier.issn2327-4662-
dc.identifier.urihttp://hdl.handle.net/10722/338397-
dc.description.abstract<p>In this article, we study the joint energy and reserve sharing problem considering renewable generation uncertainty and limited communication resources. We propose a data-driven distributionally robust energy and reserve sharing model among different agents in electricity markets. We put forward data-driven distributionally robust chance constraints (DRCC) to determine the reserve capacity, which cannot be directly solved. The inner approximation is employed to convert the DRCC into tractable linear constraints. Taking into account the agents in the Internet of Things exchange information by a resource-limited communication network, we develop a communication-censored consensus alternating direction method of multipliers (ADMMs) to utilize the limited communication resources and solve the sharing problem in a fully decentralized manner. We analyze the convergence of the proposed algorithm, and propose an adaptive penalty parameter method to speed up the convergence. Extensive simulations are conducted to verify the effectiveness of the proposed model and theoretical results.</p>-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.relation.ispartofIEEE Internet of Things Journal-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectCommunication-censored alternating direction method of multipliers (ADMMs)-
dc.subjectdistributionally robust optimization-
dc.subjectenergy sharing-
dc.subjectreserve sharing-
dc.titleEnergy and Reserve Sharing Considering Uncertainty and Communication Resources-
dc.typeArticle-
dc.identifier.doi10.1109/JIOT.2023.3252630-
dc.identifier.scopuseid_2-s2.0-85149821417-
dc.identifier.volume10-
dc.identifier.issue14-
dc.identifier.spage12627-
dc.identifier.epage12637-
dc.identifier.eissn2327-4662-
dc.identifier.isiWOS:001025700000052-
dc.identifier.issnl2327-4662-

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