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Optimal Energy Trading for Renewable Energy Integrated Building Microgrids Containing Electric Vehicles and Energy Storage Batteries

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Eseye, Abinet Tesfaye
dc.contributor.author Lehtonen, Matti
dc.contributor.author Tukia, Toni
dc.contributor.author Uimonen, Semen
dc.contributor.author Millar, R. John
dc.date.accessioned 2019-09-03T13:48:43Z
dc.date.available 2019-09-03T13:48:43Z
dc.date.issued 2019-01-01
dc.identifier.citation Eseye , A T , Lehtonen , M , Tukia , T , Uimonen , S & Millar , R J 2019 , ' Optimal Energy Trading for Renewable Energy Integrated Building Microgrids Containing Electric Vehicles and Energy Storage Batteries ' , IEEE Access , vol. 7 , 8784041 , pp. 106092-106101 . https://doi.org/10.1109/ACCESS.2019.2932461 en
dc.identifier.issn 2169-3536
dc.identifier.other PURE UUID: bde9f20a-4f1b-4d3d-a43b-90a157808e8f
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/bde9f20a-4f1b-4d3d-a43b-90a157808e8f
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85071102714&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/36530918/ELEC_Eseye_etal_Optimal_Energy_Trading_IEEEAccess_7_2019_publishedversion.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/40112
dc.description.abstract The increasing penetration of renewable energy resources and volatility of energy prices cause huge challenges in planning and regulating energy generation, transport, and distribution. A possible solution can be a paradigm change of employing control actions from the demand side in addition to the conventional generation control. To realize such shifts, the primary stage should be a proper and robust analysis of the energy flexibility on the demand side. Recently, demand side control in buildings has become a major research issue because buildings share a substantial portion of the total electricity consumption. The increasing use of controllable devices in buildings combined with the advent of smart metering system has paved the way to exploit the potential flexibility of managing the energy generation and demand of buildings for optimal energy trading. In this paper, we investigate the benefits of demand resources in buildings for optimal energy trading in day-ahead and real-time energy markets. The building flexible demand resources considered are electric vehicles and batteries. The paper examines the combined optimization of EVs and batteries in the day-ahead and regulation electricity markets with the objective of maximizing the total profit of the building microgrid. It takes EVs driving pattern into consideration. The major contribution of the paper is the exploitation of the energy flexibility of buildings using EVs as dynamic energy storage device and batteries as manageable demand facility. The devised optimization problem is formulated as a double-stage mixed-integer linear programming (MILP) problem, and solved using the CPLEX solver. Several numerical results are presented to validate the effectiveness of the devised optimization framework using actual data of building electricity demand and local renewable generation in the Otaniemi area of Espoo, Finland. We demonstrate that the proposed optimization solution can achieve considerable increase in profit, reduce renewable energy curtailment and decrease power demand in peak hours, compared to uncontrolled or non-optimized operation. en
dc.format.extent 10
dc.format.extent 106092-106101
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries IEEE Access en
dc.relation.ispartofseries Volume 7 en
dc.rights openAccess en
dc.title Optimal Energy Trading for Renewable Energy Integrated Building Microgrids Containing Electric Vehicles and Energy Storage Batteries en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Power Systems and High Voltage Engineering
dc.contributor.department Department of Electrical Engineering and Automation
dc.subject.keyword Battery
dc.subject.keyword Building
dc.subject.keyword Demand response
dc.subject.keyword Energy market
dc.subject.keyword Energy trading
dc.subject.keyword EV
dc.subject.keyword Microgrid
dc.subject.keyword Optimization
dc.subject.keyword Renewable energy
dc.identifier.urn URN:NBN:fi:aalto-201909035154
dc.identifier.doi 10.1109/ACCESS.2019.2932461
dc.type.version publishedVersion

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