DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Sangkeum | ko |
dc.contributor.author | Har, Dongsoo | ko |
dc.contributor.author | Jin, Hojun | ko |
dc.contributor.author | Nengroo, Sarvar Hussain | ko |
dc.date.accessioned | 2021-12-14T06:48:07Z | - |
dc.date.available | 2021-12-14T06:48:07Z | - |
dc.date.created | 2021-12-07 | - |
dc.date.created | 2021-12-07 | - |
dc.date.created | 2021-12-07 | - |
dc.date.created | 2021-12-07 | - |
dc.date.issued | 2021-12-15 | - |
dc.identifier.citation | International Conference on Computational Science and Computational Intelligence (CSCI) | - |
dc.identifier.uri | http://hdl.handle.net/10203/290585 | - |
dc.description.abstract | P2P power trading addresses direct energy exchange between peers, thereby energy from small-scale distributed energy resources in households, workplaces, factories, and other locations is exchanged among neighborhood energy prosumers and consumers. A novel method for real-time P2P power trading between nanogrid clusters based on cooperative game theory is proposed in this paper. Cooperative P2P power trading is used as a powerful aid for a nanogrid cluster's power management involving electric vehicles and renewable energy sources (wind turbine and photovoltaic energy system). For the nanogrid clusters' power management, multi-objective optimization making use of relevant information obtained from the Internet of Things and from the time-varying production of hybrid wind power and PV power is carried out. As a result, cooperative P2P power trading between nanogrid clusters can save the electricity cost and amount of energy supplied from the grid, as compared to the stand-alone nanogrid clusters without P2P power trading. | - |
dc.language | English | - |
dc.publisher | american council on science and education | - |
dc.title | P2P Power Trading between Nanogrid Clusters Exploiting Electric Vehicles and Renewable Energy Sources | - |
dc.type | Conference | - |
dc.identifier.wosid | 000832229300332 | - |
dc.identifier.scopusid | 2-s2.0-85133944846 | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | International Conference on Computational Science and Computational Intelligence (CSCI) | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | Las Vegas, Nevada | - |
dc.identifier.doi | 10.1109/CSCI54926.2021.00349 | - |
dc.contributor.localauthor | Har, Dongsoo | - |
dc.contributor.nonIdAuthor | Lee, Sangkeum | - |
dc.contributor.nonIdAuthor | Jin, Hojun | - |
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