Wind and Solar Power Data from Western Inner Mongolia

Citation Author(s):
Yuan
Gao
Submitted by:
Yuan Gao
Last updated:
Tue, 11/05/2024 - 21:18
DOI:
10.21227/hxqs-zw18
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Abstract 

This dataset originates from a wind farm and a photovoltaic (PV) power station located in a region of western Inner Mongolia. It includes meteorological and power output data from the entire year of 2022, with a temporal resolution of 15-minute intervals. The wind farm data comprises meteorological parameters such as wind speed, wind direction, temperature, and humidity, as well as the power output of the wind turbines. The PV station data includes irradiation, temperature, and other weather-related parameters relevant to solar power generation, along with the corresponding output data.

This dataset provides valuable support for research on the impact of weather conditions on power generation, the optimization of generation forecasting models, and the enhancement of energy management and scheduling efficiency. In particular, by analyzing the complementarity between wind and solar power, it is possible to improve grid load management and optimize the use of renewable energy under varying weather conditions.

Instructions: 

数据集在列中包括气象特征(如风速、风向、温度、湿度、辐照等),最后一列表示输出功率(风电场和光伏 (PV) 电站的发电量)。借助此数据结构,研究人员可以:

  • 评估气象条件对发电量的影响:例如,评估风速的增加是否直接导致风电场的功率输出增加,或者更高的辐照度是否有效地提高了光伏电站的发电能力。
  • 开发预测模型:利用机器学习算法根据气象数据预测未来发电量,从而为电网调度提供决策支持。
  • 优化发电调度:根据实时气象数据和预测发电量,在风电场和光伏电站之间高效分配发电任务,提高能源利用效率。

总之,该数据集的结构提供了全面的气象和发电数据,帮助研究人员了解和优化风能和太阳能发电站的运行性能。这对于大规模电网集成和调度尤其有价值。

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