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Probabilistic modelling of hybrid solar/wind power system with solar tracking system

机译:具有太阳能跟踪系统的混合太阳能/风能系统的概率建模

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摘要

This paper presents a probabilistic model applied to a hybrid solar-wind power system (HSWPS), which is equipped with either a one-axis or a two-axis solar tracking system. Within the framework of a case study, the potential of the developed probabilistic approach is presented, and the effect of the solar tracking systems on the annual energy gain is discussed. Specifically, the impact of a tracking system on the probability density function (PDF) of the power produced by a photovoltaic system (PVS) is evaluated through the first four moments (mean, variance, skewness and kurtosis) of a PDF. Finally, to estimate the impact of a tracking system on HSWPS energy performance, a reliability analysis is performed using the energy index of reliability (EIR), which is directly related to energy expected not supplied (EENS), given different annual load scenarios.
机译:本文提出了一种概率模型,该模型适用于配备有单轴或两轴太阳能跟踪系统的混合太阳能-风电系统(HSWPS)。在案例研究的框架内,介绍了已开发的概率方法的潜力,并讨论了太阳跟踪系统对年度能量获取的影响。具体而言,通过PDF的前四个时刻(均值,方差,偏度和峰度)评估跟踪系统对光伏系统(PVS)产生的功率的概率密度函数(PDF)的影响。最后,为了估算跟踪系统对HSWPS能源性能的影响,在给定不同的年度负荷方案的情况下,使用可靠性能源指数(EIR)进行可靠性分析,该指数与预期未供应的能源(EENS)直接相关。

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