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The optimization of household and apartment energy management system

机译:家庭能源管理系统的优化

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This paper state the optimization of household and apartment energy management system. The content propose 4 parts: the introduction including the background and the theory of household and apartment energy management systems; the design of household energy management (HEM) optimization systems which include the hardware implementation and software application; some case studies are discussed to illustrate the optimization results are effective, for instance it shows clearly that bills are reduced after optimize process; the final conclusions are indicated in the end. The mathematical model was built to solve the optimization problem. The usage of appliances are automatically changed by the system depend on the day-ahead electrical price. The control algorithm is depend on the mixed integer linear programming (MILP). Power balance is the most core idea of the system, since the shared battery system is raised and played as an important role in the control strategy. 4 households are combined together by using one shared battery storage system, which promote the optimization results. There are four case studies are supposed in this paper, which reflected in the impact of different price mechanism; the impact of critical load; the impact of battery size and the impact of generation part. These case studies are comprehensive discussed to certify the optimization effect is obvious.
机译:本文说明了家庭和公寓能源管理系统的优化。内容提出4部分:引言包括家庭和公寓能源管理系统的背景;包括硬件实现和软件应用的家庭能源管理(下摆)优化系统的设计;一些案例研究讨论以说明优化结果是有效的,例如它清楚地显示了优化过程后票据减少;最终结论结束。建立了数学模型以解决优化问题。系统自动改变电器的使用取决于前方的电气价格。控制算法取决于混合整数线性编程(MILP)。功率平衡是系统最核心的思想,因为共享电池系统被提升并作为控制策略中的重要作用。 4户通过使用一个共用电池存储系统合并在一起,这是促进优化结果。本文有四种案例研究,这反映在不同价格机制的影响;临界负荷的影响;电池尺寸的影响和发电部分的影响。这些案例研究全面讨论了认证优化效果是显而易见的。

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