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Effect of load profile uncertainty on the optimum sizing of off-grid PV systems for rural electrification

机译:负荷曲线不确定性对农村电气化离网光伏系统最佳尺寸的影响

摘要

Off-grid systems based on PV and batteries are becoming a solution of great interest for rural electrification. Nevertheless, sizing these systems is not straightforward since it means matching unpredictable energy sources with uncertain demands while providing the best reliability and costs. In our opinion, the effect of users’ energy consumptions uncertainty on the sizing of these systems has not been appropriately investigated. This paper addresses this issue and analyzes the effect of load profile uncertainty on the off-grid PV systems optimum design. Specifically a novel sizing methodology has been introduced based on: (i) an effective approach of modelling rural energy needs; (ii) an innovative stochastic method which formulates different possible realistic daily load profiles for un-electrified rural areas; (iii) a PV-battery techno-economic analysis via steady-state simulation; (iv) the evaluation of the optimum system sizing via a numerical method based on net present cost and loss of load probability. Finally, the proposed methodology has been applied to find the optimum size of an off-grid PV system for a peri-urban area of Uganda. The results show that the optimum system configurations are significantly affected by load profiles; consequently an approach to identify the robust solution with regards the assumed uncertainty is proposed.
机译:基于光伏和电池的离网系统正成为农村电气化的重要解决方案。然而,对这些系统进行规模调整并不容易,因为这意味着将不确定的能源与不确定的需求匹配,同时提供最佳的可靠性和成本。我们认为,用户能耗不确定性对这些系统规模的影响尚未得到适当研究。本文解决了这个问题,并分析了负载曲线不确定性对离网光伏系统最佳设计的影响。具体而言,基于以下方面引入了一种新颖的规模确定方法:(i)一种有效的农村能源需求建模方法; (ii)一种创新的随机方法,该方法为未通电的农村地区制定了不同的可能的实际日负荷曲线; (iii)通过稳态模拟进行光伏电池技术经济分析; (iv)通过基于净现值和损失负载概率的数值方法对最优系统规模进行评估。最后,所提出的方法已应用于寻找乌干达城郊地区离网光伏系统的最佳尺寸。结果表明,最佳系统配置受负载曲线的影响很大;因此,提出了一种关于假定不确定性来确定鲁棒解决方案的方法。

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