Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/31424
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dc.contributor.authorPonoćko, Jelenaen_US
dc.contributor.authorMateska, Aleksandra Krkolevaen_US
dc.contributor.authorKrstevski, Petaren_US
dc.date.accessioned2024-09-30T11:03:48Z-
dc.date.available2024-09-30T11:03:48Z-
dc.date.issued2023-06-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/31424-
dc.description.abstractThis paper proposes a regional congestion management (CM) market framework based on the cross-border use of demand-side flexibility resources, focusing on flexible load connected or aggregated at the transmission level, but also considering flexibility of storage and renewable energy sources (RES). It compares the CM potential of national and cross-border resources in an interconnected transmission system in South-East Europe (SEE). The studies observe the role of location, flexible capacity, availability and type of resource, as well as the cost of congestion elimination, on the effectiveness of CM. The cost-effectiveness of CM is critically assessed based on a bid selection algorithm that considers different bidding scenarios, predefined line flow reduction on a critical line, as well as the operating constraints of the transmission network.en_US
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.relationCROSSBOW (grant agreement 773430)en_US
dc.relation.ispartofInternational Journal of Electrical Power & Energy Systemsen_US
dc.subjectDemand side management, FlexibilityCongestion management market, Transmission networken_US
dc.titleCross-border DSM as a complement to storage and RES in congestion management marketsen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.ijepes.2022.108917-
dc.identifier.urlhttps://api.elsevier.com/content/article/PII:S0142061522009139?httpAccept=text/xml-
dc.identifier.urlhttps://api.elsevier.com/content/article/PII:S0142061522009139?httpAccept=text/plain-
dc.identifier.volume148-
item.fulltextWith Fulltext-
item.grantfulltextopen-
Appears in Collections:Faculty of Electrical Engineering and Information Technologies: Journal Articles
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