华电技术 ›› 2020, Vol. 42 ›› Issue (12): 72-77.

• 新能源 • 上一篇    下一篇

基于发电量的测风塔代表性影响因素定量分析

  

  1. 1.华润电力技术研究院有限公司,广东 深圳 518000; 2.华润电力控股有限公司,广东 深圳 518000; 3.华润电力控股有限公司东北大区,沈阳 110043
  • 出版日期:2020-12-25 发布日期:2021-01-04

Quantitative analysis on representative influencing factors of wind measurement mast based on power generation

  1. 1.Technology Research Institute of CR Power Shenzhen 518000China 2.CR Power Holdings Company Limited
    Shenzhen 518000China 3.Northeast RegionCR Power Holdings Company LimitedShenyang 110043China
  • Online:2020-12-25 Published:2021-01-04

摘要: 测风塔的代表性是决定风力资源评估准确性的最重要因素之一。梳理文献后发现,目前对测风塔代表性的分析主要是定性分析。提出理论折减系数的概念并将其作为测风塔代表性的衡量标准,首次对测风塔代表性进行定量分析。通过实际案例,对比风电场设计阶段各风机模拟发电量和风电场投运后各风机实际发电量,计算各风机点位理论折减系数。通过理论折减系数分析,得出影响测风塔代表性的最主要因素是测风塔与风机点位的距离以及海拔高差。由风塔代表性和测风塔与风机点位的距离之间的线性拟合公式可知,两者无明显相关关系;而通过测风塔代表性与海拔高差之间的线性拟合公式可知,两者呈明显负相关关系。现行标准规范中,与风机点位海拔高差在50 m以内的测风塔具有代表性,经该案例分析验证,认为海拔高差为30 m内时测风塔代表性较好。

关键词: 代表年订正, 理论折减系数, 测风塔, 风机点位, 海拔高差, 发电量, 线性拟合

Abstract: The representativeness of measurement made by wind masts is one of the most important factors for the wind resource evaluation accuracy. After literature review,it is found out that current representativeness analyses of wind masts are mainly qualitative analyses. Proposing the concept of theoretical reduction coefficient and taking it as the measurement standard for wind mast representativeness, quantitative analysis on wind mast representativeness can be carried out innovatively. In a practical case,the theoretical reduction coefficient at each wind turbine position was calculated by comparing the evaluation value of a wind farm in the design stage with the actual power generation during its operation. After the theoretical reduction coefficient analysis, the main factors affecting the representativeness were considered as the distance and the elevation difference between the wind mast and each wind turbine.The linear fitting formula of theoretical reduction coefficient and the distance between the wind mast and each wind turbine indicated that there was no obvious correlation between the two factors, while according to the linear fitting formula of the representativeness of the wind mast and the elevation difference, there was a clear negative correlation between the two factors. In the current standard, the wind mast with elevation difference less than 50 m is of decent representativeness.However,according to the practical data in the case, the wind mast with elevation difference less than 30 m is of proper representativeness.

Key words: correction of representative year, theoretical reduction coefficient, wind mast, wind turbine position, elevation difference, power generation, linear fitting formula