Application of Bees Algorithm to Reduce Household's Energy Costs via Load Deferment

J. Leitão, P. Gil, B. Ribeiro, A. Cardoso
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引用次数: 3

Abstract

This work studies the management of electrical and water appliances in a household with the ultimate goal of reducing its energy-related costs. We consider a scenario where the operation of energy and water appliances are scheduled during one day, in which water demands and energy restrictions needs must be satisfied.Operation periods for these appliances was determined by solving an optimisation problem whose objective function reflects the overall energy costs. The Bees optimisation algorithm was employed to solve this problem and schedule appliances usages. Documented results select periods when energy is cheaper to operate appliances: early in the morning (6 am and 8 am) and later at night (0 am). A profit was also achieved by selling excess photovoltaic energy to the grid.
应用蜜蜂算法通过负荷延迟降低家庭能源成本
这项工作研究家庭电器和水的管理,最终目标是减少与能源有关的成本。我们考虑这样一种情况,即能源和水设备在一天内安排运行,在这种情况下,必须满足水需求和能源限制需求。这些设备的运行周期是通过解决一个优化问题来确定的,该优化问题的目标函数反映了总体能源成本。蜜蜂优化算法被用来解决这个问题,并调度设备的使用。有记录的结果选择了能源更便宜的时间段来操作电器:清晨(早上6点和8点)和深夜(早上0点)。通过向电网出售多余的光伏能源也能获利。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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