首页> 外文会议>2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe >An aggregator-based-strategy to minimize the cost of energy consumption by optimal utilization of energy resources in an apartment building
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An aggregator-based-strategy to minimize the cost of energy consumption by optimal utilization of energy resources in an apartment building

机译:一种基于聚集器的策略,可通过最佳利用公寓建筑中的能源来最大程度地降低能耗成本

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Buildings and transport consume two thirds of the total global energy. It is desirable to maximize the use of renewable generation in these sectors, and to optimize the use of that energy by managing diverse sources and loads. This is particularly challenging in high-density residential premises where the space for such infrastructure is limited, and storage can have significant impact on energy utilization and demand. In this paper, we have proposed an aggregator-based-strategy (ABS) to optimally utilize the available energy resources and storage in an apartment building with twenty households, each having an electric vehicle (EV), and an aggregated solar photovoltaic (PV) energy and stationary battery storage (BS) system. The strategy is flexible and can be applied to any building with EVs, solar PV and BS to minimize the cost of energy consumption without compromising the flexibility of energy usage or travel requirements. The model also accounts for the battery capacity degradation and its associated cost to make it more realistic. The model is evaluated using real data and the results show that the strategy not only reduces the cost of energy consumption but also reduces the amount of energy drawn from the grid significantly.
机译:建筑物和交通消耗全球总能源的三分之二。希望在这些部门中最大限度地利用可再生能源,并通过管理各种来源和负荷来优化该能源的利用。在高密度住宅场所中,这种基础设施的空间是有限的,这尤其具有挑战性,并且存储可能对能源利用和需求产生重大影响。在本文中,我们提出了一种基于聚集器的策略(ABS),以最佳地利用可利用的能源和存储,该公寓大楼中有20户家庭,每户都有电动汽车(EV)和聚合太阳能光伏(PV)能源和固定电池存储(BS)系统。该策略是灵活的,可以应用于具有EV,太阳能PV和BS的任何建筑物,以最大程度地降低能耗成本,同时又不影响能源使用或出行需求的灵活性。该模型还考虑了电池容量的下降及其相关的成本,以使其更加真实。该模型使用实际数据进行了评估,结果表明该策略不仅降低了能源消耗成本,而且显着减少了从电网汲取的能源量。

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