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Peer-to-Peer Electricity Market based on Local Supervision

Khajeh, Hosna; Gazafroudi, Amin Shokri; Laaksonen, Hannu; Shafie-Khah, Miadreza; Siano, Pierluigi; Catalão, João P. S.


The active participation of small-scale prosumers and consumers with demand-response capability and renewable resources can be a potential solution to the environmental issues and flexibility-related challenges. Local energy markets based on peer-to-peer trading is defined as one of solutions to exploit the maximum flexibility potential of prosumers. However, the existing literature that proposed peer-to-peer based local energy markets did not lead to respecting the peers’ energy trading preferences simultaneously in the profitable market settlement. To solve this issue, a new local energy market model is presented in which network users can trade with their preferred trading partners within the local market as well as the grid. The proposed trading model includes two levels to consider both the democracy and the profitability of energy trading. At the first level, the model considers the trading preferences of each player to respect the peers’ choices. The second level matches the rest of the bids and offers of the local buyers and sellers aiming to maximize the social welfare of all of the players participating in the local market. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000140303
Veröffentlicht am 18.01.2022
DOI: 10.1109/ACCESS.2021.3129050
Zitationen: 3
Web of Science
Zitationen: 2
Zitationen: 3
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 17.11.2021
Sprache Englisch
Identifikator ISSN: 2169-3536
KITopen-ID: 1000140303
HGF-Programm 37.12.02 (POF IV, LK 01) Design,Operation & Digitalization of the Future Energy Grids
Erschienen in IEEE access
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Band 9
Seiten 156647-156662
Bemerkung zur Veröffentlichung CA: Miadreza Shafie-khah
Nachgewiesen in Dimensions
Web of Science
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