A smart home requires energy management systems to operate optimally. It has an integrated renewable energy source along with a storage system. The output of the renewable energy source cannot be controlled. The ESS is optimally scheduled for charging and discharging in order to derive the maximum utilization of it. Optimal scheduling of battery integrated smart home is proposed in this paper to minimize the energy costs for a given set of daily electricity tariffs scheme. The sizing of the battery installed in a prosumer system is investigated. An SHEMS is modelled, and an appropriate objective function is defined to reflect the operational costs of a prosumer. The battery efficiency is related to the applied tariff for deciding the operational characteristics of the storage system. The optimal control of the battery operation is then proposed considering its constraints. The sensitivity analysis is performed on the battery to observe its performance in different conditions. The results show the effectiveness of the proposed algorithm to reduce the operational costs of the smart home.

中文翻译：

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住宅生产者的经济分析与控制策略

智能家居需要能源管理系统以最佳方式运行。它具有集成的可再生能源以及存储系统。可再生能源的输出无法控制。为了获得最大利用率，对ESS进行了最佳充电和放电计划。本文提出了电池集成智能家居的优化调度，以在给定的每日电价方案中最大程度地降低能源成本。研究了生产者系统中安装的电池的大小。对SHEMS进行建模，并定义适当的目标函数以反映生产者的运营成本。电池效率与用于确定存储系统的操作特性的应用费率有关。然后考虑电池的约束条件，提出电池运行的最佳控制。对电池进行灵敏度分析，以观察其在不同条件下的性能。结果表明，所提算法在降低智能家居运营成本方面是有效的。