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dc.contributor.authorXiao Han
dc.contributor.authorLingling Sun
dc.contributor.authorYuechuan Tao
dc.contributor.authorJunhua Zhao
dc.contributor.authorGuibin Wang
dc.contributor.authorDong Yuan
dc.date.accessioned2022-01-30T21:39:56Z
dc.date.available2022-01-30T21:39:56Z
dc.date.issued8/1/2020 12:00:00 AM
dc.identifier.other%28ASCE%29EY.1943-7897.0000665.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4268626
dc.description.abstractThe rapid growth of renewable distributed generation (RDG) requires further development of the electricity market for distributed energy. This paper proposes an energy-sharing platform as the energy management model with the distributed battery energy storage system (BESS) and RDG, and this platform can be compared with a banking system in which various kinds of energy participants, including energy users, energy generators, and energy storage devices, can transfer both energy and price. Furthermore, up-reserve (UR) is defined in the distributed BESS to quantize the charging energy value for energy management. Moreover, the pricing model is optimized by game theory with the Bayesian Nash equilibrium (BNE) algorithm, and the call-auction method is the trading mechanism with the rule of maximum transaction volume. Real historical data in the Australian electrical market were used for the case study. The participants’ profit of with-game-theory was higher than without-game-theory in this energy-sharing platform.
dc.publisherASCE
dc.titleDistributed Energy-Sharing Strategy for Peer-to-Peer Microgrid System
dc.typeJournal Paper
dc.journal.volume146
dc.journal.issue4
dc.journal.titleJournal of Energy Engineering
dc.identifier.doi10.1061/(ASCE)EY.1943-7897.0000665
dc.page10
dc.treeJournal of Energy Engineering:;2020:;Volume ( 146 ):;issue: 004
dc.contenttypeFulltext


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