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A distributed power sharing framework among households in microgrids: a repeated game approach
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering.ORCID iD: 0000-0003-4938-8862
2016 (English)In: Computing, ISSN 0010-485X, E-ISSN 1436-5057, 1-15 p.Article in journal (Refereed) Published
Abstract [en]

In microgrids, the integration of distributed energy resources (DERs) in the residential sector can improve power reliability, and potentially reduce power demands and carbon emissions. Improving the utilization of renewable energy in households is a critical challenge for DERs. In this regard, renewable power sharing is one of the possible solutions to tackle this problem. Even though this solution has attracted significant attention recently, most of the proposed power sharing frameworks focus more on centralized schemes. In contrast, in this paper, the performance of a proposed distributed power sharing framework is investigated. The problem is formulated as a repeated game between households in a microgrid. In this game, each household decides to cooperate and borrow/lend some amount of renewable power from/to a neighboring household, or to defect and purchase the entire demands from the main grid based on a payoff function. The Nash equilibrium of this game is characterized and the effect of the strategies taken by the households on the system is analyzed. We conduct an extensive evaluation using real demand data from 12 households of different sizes and power consumption profiles in Stockholm. Numerical results indicate that cooperation is beneficial from both an economical and environmental perspective and that households can achieve cost savings up to 20 %.

Place, publisher, year, edition, pages
Springer, 2016. 1-15 p.
Keyword [en]
Carbon emission reduction strategies, Demand side management, Distributed energy resources, Electricity cost minimization problem, Game theory, Microgrids, Electric power utilization, Electric utilities, Emission control, Energy resources, Carbon emission reductions, Critical challenges, Electricity costs, Micro grid, Numerical results, Renewable energies, Residential sectors
National Category
Energy Systems
URN: urn:nbn:se:kth:diva-197143DOI: 10.1007/s00607-016-0504-yScopusID: 2-s2.0-84978044229OAI: diva2:1056008

QC 20161213

Available from: 2016-12-13 Created: 2016-11-30 Last updated: 2016-12-13Bibliographically approved

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Nilsson, Anders
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