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Matching wind turbine generators with wind regime in Egypt

机译:在埃及将风力发电机与风力发电系统相匹配

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This paper presents a novel method of matching wind turbine generators to a site using turbine performance index {TPI) in conjunction with minimum deviation ratio (DR) between rated speed of wind turbine generator {WTG) and optimal speed and resulting in minimum cost of energy (COE). The methodology allows yielding higher energy production at higher capacity factor and minimum cost of energy. The wind speeds are parameterized using cubic mean cube-root and statistically modeled using Weibull probability density function. Normalized power (P_N) and capacity factor (CF) are expressed entirely in normalized rated speed. The plots of P_n, CF and TPI versus normalized rated wind speed are drawn for known values of Weibull parameters of a site. The proposed methodology for identifying optimum wind turbine generator parameters for two sites with installed WTG and two candidate locations for installation of WTG in Egypt are examined. The cost of energy (COE) and capital cost of WTG under different tower heights at the sites are also determined. The proposed methodology, if used at the planning and development stages of wind power stations, will serve as useful tool to make a judicious choice of a wind turbine generator that yields higher energy at higher capacity factor.
机译:本文提出了一种新颖的方法,该方法利用涡轮机性能指标(TPI)结合风力涡轮机额定速度(WTG)与最佳速度之间的最小偏差比(DR)来使风力涡轮机与站点匹配,从而使能源成本降至最低(COE)。该方法允许以更高的容量因子和最低的能源成本产生更高的能源产量。使用三次平均立方根对风速进行参数化,并使用威布尔概率密度函数对风速进行统计建模。归一化功率(P_N)和容量系数(CF)完全以归一化额定速度表示。针对站点的Weibull参数的已知值绘制了P_n,CF和TPI与归一化额定风速的关系图。研究了为埃及安装了两个风力发电机组的两个地点和两个风力发电机组的候选安装地点确定最佳风力发电机参数的方法。还确定了现场不同塔高下的能源成本(COE)和WTG的资本成本。如果在风力发电站的规划和开发阶段使用建议的方法,它将作为明智的选择,以明智的方式选择以更高的容量系数产生更高能量的风力涡轮发电机的有用工具。

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