Power Bill Optimization for Grid-tie Solar PV-Battery House

K. Ouedraogo, P. O. Eki̇m, E. Demi̇rok
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Abstract

This study focuses on the optimization of power bills for a house equipped with a grid-tie solar PV-battery system. Rather than adhering to conventional load scheduling practices or minimizing grid power usage at each time interval, a novel approach is adopted wherein the optimization is performed for the entire 24-hour period simultaneously. By directly incorporating time-of-use rates into the cost function, an absolute optimal solution is attained. The findings indicate that compared to single time step optimization, the proposed method results in a reduction of the power bill ranging from 6% to 10%, depending on load-generation variations. Furthermore, if the utility or government enforces the summer tariff consistently throughout the year, the savings escalate to a range of 15% to 22%. Introducing a more intelligent tariff structure can thus serve as an effective means to expedite the transition towards renewable energy by incentivizing individual investments in solar PV, battery systems, and smart home energy management.
并网太阳能光伏电池房的电费优化
本研究的重点是优化装有并网太阳能光伏电池系统的房屋的电费。本研究采用了一种新颖的方法,即同时对整个 24 小时进行优化,而不是采用传统的负荷调度方法或在每个时间间隔内尽量减少电网用电量。通过直接将时间使用率纳入成本函数,可获得绝对最优解。研究结果表明,与单个时间步骤优化相比,所提出的方法可减少 6% 至 10% 的电费,具体取决于负荷-发电量的变化。此外,如果公用事业部门或政府全年始终如一地执行夏季电价,那么节省的电费将达到 15%至 22%。因此,引入更加智能化的电价结构,可以通过激励个人投资太阳能光伏发电、电池系统和智能家居能源管理,成为加快向可再生能源过渡的有效手段。
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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