风电场测风数据验证与评估算法设计与应用

摘要

在风电场运行过程中,会产生大量的测风数据,测风数据验证是风电场进行风能资源评估的一项重要工作.由于一系列不确定性因素,会出现数据不合理或者缺失的情况,为了防止存在不符合语义规定的数据和因错误信息的输入输出造成无效操作或错误信息,需要对产生的数据进行验证.在测风数据中有极值范围检查、一致性检验、趋势性检验三种方法,论文将其转化成算法语言,并应用到了实际系统中,数据验证效率得到较大提高,验证结果数据相比于传统的验证数据在精度上也有较大的提高.%During the operation of the wind farm, a lot of data will be generated.the validation for wind farm's wind data is an important work of wind energy resource assessment.Due to the series of uncertain factors, data is unreasonable or missing, In order to prevent data which is not in accordance with the provisions of semantic and prevent invalid operation or error information caused by the input and output of error information, which requires the missing data according to verify.There are three kinds of data validation extreme value range check、 consistency check 、trend test inthe wind data.In this paper, it is transformed into an algorithmic language, and it is applied to the practical system.The efficiency of data validation is greatly improved.The results show that compared with the traditional data, the data of accuracy can be improved greatly.