Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/101764
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dc.contributorDepartment of Electrical Engineeringen_US
dc.creatorHe, Q-
dc.creatorLin, Z-
dc.creatorChen, H-
dc.creatorDai, X-
dc.creatorLi, Y-
dc.creatorZeng, X-
dc.date.accessioned2023-09-18T07:44:32Z-
dc.date.available2023-09-18T07:44:32Z-
dc.identifier.issn23672617en_US
dc.identifier.urihttp://hdl.handle.net/10397/101764-
dc.language.isoenen_US
dc.publisherSpringerOpenen_US
dc.rights© The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en_US
dc.rightsThe following publication He, Q., Lin, Z., Chen, H. et al. Bi-level optimization based two-stage market clearing model considering guaranteed accommodation of renewable energy generation. Prot Control Mod Power Syst 7, 30 (2022) is available at https://doi.org/10.1186/s41601-022-00253-y.en_US
dc.subjectBi-level optimizationen_US
dc.subjectBidding strategyen_US
dc.subjectFair competitionen_US
dc.subjectGuaranteed accommodationen_US
dc.subjectMarket clearingen_US
dc.subjectRenewable energyen_US
dc.titleBi-level optimization based two-stage market clearing model considering guaranteed accommodation of renewable energy generationen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume7en_US
dc.identifier.issue1en_US
dc.identifier.doi10.1186/s41601-022-00253-yen_US
dcterms.abstractThe existing electricity market mechanisms designed to promote the consumption of renewable energy generation complicate network participation in market transactions owing to an unfair market competition environment, where the low cost renewable energy generation is not reflected in the high bidding price of high cost conventional energy generation. This study addresses this issue by proposing a bi-level optimization based two-stage market clearing model that considers the bidding strategies of market players, and guarantees the accommodation of renewable energy generation. The first stage implements a dual-market clearing mechanism that includes a unified market for trading the power generations of both renewable energy and conventional energy units, and a subsidy market reserved exclusively for conventional generation units. A re-adjustment clearing mechanism is then proposed in the second stage to accommodate the power generation of remaining renewable energy units after first stage energy allocations. Each stage of the proposed model is further described as a bi-level market equilibrium problem and is solved using a co-evolutionary algorithm. Finally, numerical results involving an improved IEEE 39-bus system demonstrate that the proposed two-stage model meets the basic requirements of incentive compatibility and individual rationality. It can facilitate the rational allocation of resources, promote the economical operation of electric power grids, and enhance social welfare.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationProtection and Control of Modern Power Systems, 2022, v. 7, no. 1, 30en_US
dcterms.isPartOfProtection and control of modern power systemsen_US
dcterms.issued2022-
dc.identifier.scopus2-s2.0-85135827022-
dc.identifier.eissn2367-0983en_US
dc.identifier.artn30en_US
dc.description.validate202309 bcvcen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOS-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China; Natural Science Foundation of Guangdong Provinceen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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