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Energy Management for Households With Solar Assisted Thermal Load Considering Renewable Energy and Price Uncertainty

机译:考虑可再生能源和价格不确定性的太阳能辅助热负荷家庭的能源管理

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摘要

In this paper, we investigate the energy scheduling problem for a household equipped with a solar assisted heating, ventilation, and air conditioning, and water heating system in the real-time pricing environment. Our objective is to minimize the electricity cost while maintaining user’s thermal comfort requirements. We consider different types of loads with different characteristics, detailed modeling of thermal dynamics, and uncertainty in electricity price and solar energy. The advantage of the proposed design lies in the exploitation of the solar assisted thermal system that can flexibly utilize the energy from the solar source or from the grid during low-price periods to support the home hot water demand, user thermal indoor temperature preference while reducing the electricity cost. We present numerical results to illustrate the effectiveness of our proposed design. Specifically, we show that the proposed design can achieve significant cost saving, allow flexible tradeoff between user comfort tolerance and electricity cost reduction, and efficiently adjust the electricity consumption load profile. We also analyze the influence of solar assisted thermal system factors such as the water tank temperature limit, solar collector size, and weather condition on the achievable cost.
机译:在本文中,我们研究了在实时定价环境中配备了太阳能辅助供暖,通风和空调以及热水系统的家庭的能源调度问题。我们的目标是在保持用户的热舒适性要求的同时,将电力成本降至最低。我们考虑具有不同特性的不同类型的负载,详细的热力学模型以及电价和太阳能的不确定性。拟议设计的优势在于开发了太阳能辅助热系统,该系统可以在低价时段灵活地利用来自太阳能或电网的能量来支持家庭热水需求,同时降低用户对室内热的温度偏好电费。我们提供数值结果来说明我们提出的设计的有效性。具体来说,我们表明,所提出的设计可以节省大量成本,可以在用户舒适度容忍度和电费降低之间进行灵活的权衡,并且可以有效地调整用电负荷曲线。我们还分析了太阳能辅助热系统因素(例如水箱温度限制,太阳能收集器的尺寸和天气状况)对可实现成本的影响。

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