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Short-term wind farm power forecasting with numerical weather prediction

机译:数值天气预报的短期风电场发电量预测

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The deployment of wind farms in Brazil is beginning to affect the planning and scheduling of energy operation, mainly in south and northeast subsystems. As the wind is shifting, which can vary significantly even in a small interval of time, the System Operator must be prepared to act in the dispatch orders of the other sources. This paper presents a methodology for assessing meteorological and geographical data to measure the wind field in the turbine hub height, allowing to calculate the instantaneous electric power produced. This estimate can be extended to various points and times of day in order to monitor the variation of wind caused by climatic effects. The climatic variables are submitted to the California Meteorological Model (CALMET) to calculate wind fields in a three-dimensional mesh with a good assertiveness in the short term. Then, the forecast is used with the wind turbine model to obtain the electric power generated for a few hours ahead. With this result the System Operator can perform a more precise coordination of the hydrothermal short term dispatch, as well as the operative power reserve dimensioning.
机译:在巴西,风电场的部署开始开始影响能源运营的计划和调度,主要是在南部和东北子系统。由于风在变化,即使在很短的时间间隔内也可能发生很大变化,因此系统操作员必须准备好按照其他来源的调度命令进行操作。本文提出了一种评估气象和地理数据的方法,以测量涡轮轮毂高度中的风场,从而可以计算产生的瞬时电力。该估计可以扩展到一天中的各个时间点,以监视由气候影响引起的风的变化。将气候变量提交给加利福尼亚气象模型(CALMET),以在短期内以良好的确定性来计算三维网格中的风场。然后,将预测与风力涡轮机模型一起使用,以获得提前几个小时产生的电力。有了这个结果,系统操作员可以对水热短期调度以及可操作的功率储备尺寸进行更精确的协调。

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