Rebouças Coutinho Luis Rodolfo, Barroso Giovanni Cordeiro, Prata Bruno de Athayde
Department of Electrical Engineering, Federal University of Ceara, Fortaleza 60455-760, CE, Brazil.
Department of Industrial Engineering, Federal University of Ceara, Fortaleza 60455-760, CE, Brazil.
Sensors (Basel). 2024 Mar 14;24(6):1875. doi: 10.3390/s24061875.
The background of this work is related to the scheduling of household appliances, taking into account variations in energy costs during the day from official Brazilian domestic tariffs: constant and white. The white tariff can reach an average price of around 17% lower than the constant, but charges twice its value at peak hours. In addition to cost reduction, we propose a methodology to reduce user discomfort due to time-shifting of controllable devices, presenting a balanced solution through the analytical analysis of a new method referred to as tariff space, derived from white tariff posts. To achieve this goal, we explore the geometric properties of the movement of devices through the tariff space (geometric of the load), over which we can define a limited region in which the cost of a load under the white tariff will be equal to or less than the constant tariff. As a trial for the efficiency of this new methodology, we collected some benchmarks (such as execution time and memory usage) against a classic multi-objective algorithm (hierarchical) available in the language portfolio in which the project has been executed (the Julia language). As a result, while both methodologies yield similar results, the approach presented in this article demonstrates a significant reduction in processing time and memory usage, which could lead to the future implementation of the solution in a simple, low-cost embedded system like an ARM cortex M.
这项工作的背景与家用电器的调度有关，其中考虑了巴西官方家庭电价中白天能源成本的变化：常量电价和白色电价。白色电价的平均价格可比常量电价低约17%，但在高峰时段收费是其两倍。除了降低成本外，我们还提出了一种方法，以减少由于可控设备的时间转移给用户带来的不适，通过对一种称为电价空间的新方法进行分析，该方法源自白色电价时段，从而提供一种平衡的解决方案。为实现这一目标，我们探索了设备在电价空间（负荷几何）中移动的几何特性，在该空间上我们可以定义一个有限区域，在该区域内白色电价下的负荷成本将等于或低于常量电价。作为对这种新方法效率的一次试验，我们针对项目所使用语言（Julia语言）中的一种经典多目标算法（分层算法）收集了一些基准数据（如执行时间和内存使用情况）。结果，虽然两种方法产生的结果相似，但本文提出的方法在处理时间和内存使用方面有显著减少，这可能导致该解决方案未来能在像ARM Cortex M这样简单、低成本的嵌入式系统中实现。
