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Towards auction mechanisms for peer-to-peer energy trading in smart grids

dc.contributor.advisorYassine, Abdulsalam
dc.contributor.authorPankiraj, Jema Sharin
dc.date.accessioned2019-12-11T16:21:38Z
dc.date.available2019-12-11T16:21:38Z
dc.date.created2019
dc.date.issued2019
dc.identifier.urihttp://knowledgecommons.lakeheadu.ca/handle/2453/4539
dc.description.abstractThe conventional energy grid is being replaced with the new emerging smart grid infras- tructure. This can be attributed to the fact that it only supports unidirectional energy ow, i.e., energy is transmitted from the producer to the consumer. Smart grid addresses issues such as grid reliability, blackouts, global warming, etc, by implementing various renewable energy sources readily available for consumer use. The clean electric power can be produced from local neighbourhoods, individual houses, to large industrial businesses. Therefore, with the im- plementation of alternative energy sources readily available, users connected to the smart grid can purchase electric power, enabling groups and individuals to generate a profitable income. However, challenges persist attributed to user cost, and power management, resulting in active work to investigate optimization techniques between users in P2P energy trading to enhance the performance of how users trade energy among each other. Among the various energy trading mechanisms, auction-based models have demonstrated excellent performance, targetting desir- able properties for P2P energy trading. In this work, we present three different auction-based models that can be utilized for practical energy trading. The prosumers (producers and con- sumers) of energy, play the role as sellers or buyers depending on the current supply and demand. Sellers with renewable energy sources participate to sell their excess of energy to generate a profit and satisfy the buyers' demand. We model the interaction with as single-sided and double-sided auctions, explicitly taking the dynamic nature of both the sellers and buyers into account. We further propose a profit maximization algorithm that considers power line cost, transmission capacity, and energy distribution. With theoretical analysis and simulations, we demonstrate that the proposed auctions are individually rational, truthful, computationally efficient, and budget-balanced.en_US
dc.language.isoen_USen_US
dc.subjectSmart grid infrastructureen_US
dc.subjectGrid reliabilityen_US
dc.subjectRenewable energyen_US
dc.subjectAlternative energy sourcesen_US
dc.subjectEnergy tradingen_US
dc.subjectAuction mechanismsen_US
dc.subjectElectricity tradingen_US
dc.titleTowards auction mechanisms for peer-to-peer energy trading in smart gridsen_US
dc.typeThesisen_US
etd.degree.nameMaster of Scienceen_US
etd.degree.levelMasteren_US
etd.degree.disciplineEngineering : Electrical and Computeren_US
etd.degree.grantorLakehead Universityen_US


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