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This paper presents a mixed integer linear program based model to optimize smart community energy systems, based upon physical models of buildings, energy storage, and energy conversion devices. Using a level-of-aggregation approach, the model can accommodate different price components at the relevant aggregation level. Community energy systems with various characteristics have been assessed considering different objectives (i.e., energy minimization, cost minimization and electricity self-sufficiency). Community behavior and economic performance are assessed to demonstrate the impact of different operation objectives and energy storage options on network constraints and economics.
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Wang et al. (2017) studied this question.
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