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A simplified model for estimating yearly wind fraction in hybrid-wind energy systems

机译:混合风能系统中估算年风量的简化模型

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This article presents a simplified algorithm to estimate the yearly wind fraction, the fraction of energy demand provided by wind generator, in a hybrid-wind system (typically a PV-wind) with battery storage. The novel model is drawn based on the simulation results, using 8-year long measured hour-by-hour wind speed data from five different locations throughout the world. The simulation program simulates the battery state of voltage (SoV) and is able to predict the wind fraction for a period of time, typically monthly or yearly. The yearly wind fraction values obtained from the simulations are plotted against the ratio of energy to load for various battery storage capacities to obtain wind fraction curves. The novel method correlates the yearly wind fraction with the parameters of the Weibull distribution function, thus, offering a general methodology. The yearly wind fraction curves are mathematically represented using a 2-parameter model. The novel algorithm is validated by comparing the simulated wind fraction values with those calculated from the simplified algorithm. The standard error of estimation of the WF from the simplified algorithm is further presented for each battery capacity.
机译:本文提出了一种简化的算法,用于估计带有电池存储的混合风力系统(通常为PV风力)中的年风力分数(即风力发电机提供的能源需求的分数)。基于仿真结果,使用来自全球五个不同地点的长达8年的实测小时风速数据,得出了新颖的模型。该模拟程序模拟电池的电压状态(SoV),并能够预测一段时间(通常是每月或每年)中的风量。从模拟获得的年风分数值相对于各种电池存储容量的能量与负载的比率作图,以获得风分数曲线。该新方法将年风分数与威布尔分布函数的参数相关联,从而提供了一种通用方法。年风分数曲线使用2参数模型数学表示。通过将模拟风分数值与从简化算法计算得到的值进行比较,验证了该新算法的有效性。对于每个电池容量,进一步介绍了根据简化算法估算的WF的标准误差。

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