A Study on the Impact of Distance-Based Value Loss on Transmission Network Power Flow Using Synthetic Networks
dc.contributor | Aalto-yliopisto | fi |
dc.contributor | Aalto University | en |
dc.contributor.author | Rantaniemi, Juhani | en_US |
dc.contributor.author | Jääskeläinen, Jaakko | en_US |
dc.contributor.author | Lassila, Jukka | en_US |
dc.contributor.author | Honkapuro, Samuli | en_US |
dc.contributor.department | Department of Energy and Mechanical Engineering | en |
dc.contributor.groupauthor | Energy efficiency and systems | en |
dc.contributor.organization | LUT University | en_US |
dc.date.accessioned | 2022-01-26T07:46:19Z | |
dc.date.available | 2022-01-26T07:46:19Z | |
dc.date.issued | 2022-01-01 | en_US |
dc.description | Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. | |
dc.description.abstract | This paper presents a methodology for rapid generation of synthetic transmission networks and uses it to investigate how a transmission distance-based value loss affects the overall grid power flow. The networks are created with a graph theory-based method and compared to existing energy systems. The power production is located on these synthetic networks by solving a facility location optimization problem with variable distance-based value losses. Next, AC power flow is computed for a snapshot of each network using the Newton–Raphson method and the transmission grid power flow is analyzed. The presented method enables rapid analysis of several grid topologies and offers a way to compare the effects of production incentives and renewable energy policies in different network conditions. | en |
dc.description.version | Peer reviewed | en |
dc.format.extent | 12 | |
dc.format.mimetype | application/pdf | en_US |
dc.identifier.citation | Rantaniemi, J, Jääskeläinen, J, Lassila, J & Honkapuro, S 2022, ' A Study on the Impact of Distance-Based Value Loss on Transmission Network Power Flow Using Synthetic Networks ', Energies, vol. 15, no. 2, 423 . https://doi.org/10.3390/en15020423 | en |
dc.identifier.doi | 10.3390/en15020423 | en_US |
dc.identifier.issn | 1996-1073 | |
dc.identifier.other | PURE UUID: 07c65067-97b4-46db-b841-0a44da5156f4 | en_US |
dc.identifier.other | PURE ITEMURL: https://research.aalto.fi/en/publications/07c65067-97b4-46db-b841-0a44da5156f4 | en_US |
dc.identifier.other | PURE LINK: http://www.scopus.com/inward/record.url?scp=85122351774&partnerID=8YFLogxK | en_US |
dc.identifier.other | PURE FILEURL: https://research.aalto.fi/files/78313331/energies_15_00423.pdf | en_US |
dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/112507 | |
dc.identifier.urn | URN:NBN:fi:aalto-202201261408 | |
dc.language.iso | en | en |
dc.publisher | MDPI AG | |
dc.relation.ispartofseries | Energies | en |
dc.relation.ispartofseries | Volume 15, issue 2 | en |
dc.rights | openAccess | en |
dc.subject.keyword | Energy policies | en_US |
dc.subject.keyword | Optimal power production positioning | en_US |
dc.subject.keyword | Power system planning | en_US |
dc.subject.keyword | Synthetic network data | en_US |
dc.title | A Study on the Impact of Distance-Based Value Loss on Transmission Network Power Flow Using Synthetic Networks | en |
dc.type | A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä | fi |
dc.type.version | publishedVersion |