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Optimal home energy management system with mixed types of loads

机译:混合负载类型的最佳家庭能源管理系统

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This paper presents a novel home area energy management system (HEMS) for smart homes with different load profiles installed with photovoltaic generation, energy storage, and DC demand. The developed HEMS is shown to optimize the utilization of local renewables while minimizing energy waste between AC and DC conversions and between storage charging and discharging. Previous studies on HEMS have not considered the impact of load types. In this study, the performance of the proposed HEMS is demonstrated on different smart homes with and without electric heating. A comparative study is carried out to investigate battery behavior, characteristics of AC and DC conversion, and benefits that customers receive. A sensitivity analysis is also conducted to discuss the effects from varied energy storage capacities, AC/DC conversion efficiencies, and PV output. The results show that cost reduction in energy bills can be greatly impacted by load profiles, and customers with electric heating load coupled with sufficiently large energy storage would receive the most reduction in their energy bills.
机译:本文介绍了一种新型智能住宅区域能源管理系统(HEMS),适用于具有不同负载曲线的智能家居,并安装了光伏发电,能源存储和直流需求。研究表明,已开发的HEMS可优化本地可再生能源的利用,同时最大程度地减少交流和直流转换之间以及存储充放电之间的能源浪费。先前对HEMS的研究并未考虑载荷类型的影响。在这项研究中,建议的HEMS的性能在有或没有电加热的不同智能家居中得到了证明。进行了一项比较研究,以调查电池的性能,交流和直流转换的特性以及客户获得的好处。还进行了灵敏度分析,以讨论各种能量存储容量,AC / DC转换效率和PV输出的影响。结果表明,能源消耗的成本降低会受到负载曲线的极大影响,而电加热负荷加上足够大的能量存储的客户将可以最大程度地减少能源消耗。

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