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Deep analysis of wind variability and smoothing effect in Moroccan wind farms

机译:深入分析摩洛哥风电场的风变率和平滑效果

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The Moroccan energy strategy has set new targets of reaching 52% of installed renewable energy capacity by 2030, through the development of renewable energy, including solar and wind energy. The massive use of renewables leads the country to deal with its intermittency and improve its integration in the grid. The offset between wind farms generation in different regions is essential for quantifying the reduction of intermittency when we chose wind farms sites. This offset, the smoothing effect, is analyzed deeply in this article to evaluate different compensation zones. Six wind farms with wind power variability and their potential impact on the capacity reserve are presented. The site's power was generated from reel hourly data during 12 months. Results show that energy fluctuation depends on typical wind regimes and the capacity of farms. North wind farms (280 MW) produce 50% of the maximum during 43% of time and south wind farms produce it only 17% of time. The first farm's power consistently spreads more than south farms, but also more smoothed. The average intermittency reduced as farm capacity increased due to the turbine smoothing effect and the reserve requirements increased on average. The behavior of south wind farms is more correlated, then the backup needed will be less.
机译:摩洛哥能源战略设定了新的目标,即通过发展包括太阳能和风能在内的可再生能源,到2030年达到已安装可再生能源装机容量的52%。可再生能源的大量使用导致该国应对其间歇性并改善其在电网中的整合。当我们选择风电场地点时,不同地区的风电场发电量之间的偏移量对于量化减少间歇性至关重要。本文将对这种偏移(平滑效果)进行深入分析,以评估不同的补偿区域。介绍了六个具有风力发电可变性的风电场及其对容量储备的潜在影响。该站点的电源来自12个月内的每小时卷轴数据。结果表明,能量波动取决于典型的风况和农场容量。北部风电场(280 MW)在43%的时间内发电量最大,而南部风电场仅在17%的时间内发电。第一农场的权力比南部农场的权力持续扩大,但也更加平稳。由于涡轮平滑效应,随着农场容量的增加,平均间歇性降低,平均储备需求也增加。南方风电场的行为更加相关,因此所需的备用资源将更少。

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