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Mixed-integer optimisation based approach for design and operation of distributed energy systems

机译:基于混合整数优化的分布式能源系统设计与运行方法

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This paper presents an optimisation based approach for the design and operation of residential distributed energy systems. The mathematical model minimises the total annualised cost of the system to meet its total energy demand, selecting from a pool of distributed energy generation, supply and storage alternatives as well as microgrid (MG) operation and a heating pipeline network. Technical and financial characteristics of the technologies and area-specific climatological and tariff structures are integrated in the model which is implemented in GAMS. The focus is to identify the optimal energy system design of a residential neighbourhood coupled with optimal operation of the selected technologies under given demand profiles. Selected system design scenarios are researched to determine the impact of photovoltaic (PV) units as one of several technology alternatives and energy tariffs on residential distributed energy system design. Two similar residential neighbourhoods based in Athens (Greece) and Adelaide (Australia) are compared.
机译:本文提出了一种用于住宅分布式能源系统的设计和运行的基于优化的方法。数学模型从满足分布式能源生产,供应和存储替代方案,微电网(MG)操作和供热管道网络的选择中,最大限度地降低了系统的年度总成本,以满足其总能源需求。 GAMS实施的模型中整合了技术的技术和财务特征以及特定地区的气候和关税结构。重点是确定住宅邻里的最佳能源系统设计,以及在给定的需求情况下所选技术的最佳运行。对选定的系统设计方案进行了研究,以确定光伏(PV)单元作为住宅替代能源系统设计中几种替代技术和能源费率之一的影响。比较了雅典(希腊)和阿德莱德(澳大利亚)的两个相似的居民区。

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