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考虑风况时序的动态尾流损失评估方法

高晓霞 董利江 朱玉婷 朱霄珣 王瑜 王喜 韩中合

可再生能源2025,Vol.43Issue(6):764-771,8.
可再生能源2025,Vol.43Issue(6):764-771,8.

考虑风况时序的动态尾流损失评估方法

Research on dynamic wake loss assessment method under wind condition time series

高晓霞 1董利江 2朱玉婷 3朱霄珣 1王瑜 4王喜 5韩中合1

作者信息

  • 1. 华北电力大学 动力工程系,河北 保定 071003||河北省低碳高效发电技术重点实验室,河北 保定 071003||保定市低碳高效发电技术重点实验室,河北 保定 071003
  • 2. 华北电力大学 动力工程系,河北 保定 071003||新疆新能集团有限责任公司乌鲁木齐电力建设调试所,新疆 乌鲁木齐 830001
  • 3. 华北电力大学 动力工程系,河北 保定 071003
  • 4. 华北电力大学 电子与通信工程系,河北 保定 071003
  • 5. 河北龙源风力发电有限公司,河北 张家口 076450
  • 折叠

摘要

Abstract

In order to quantify the loss caused by wake effect in wind farms considering wind condition time series,a universal dynamic wake loss evaluation method was proposed and corresponding evaluation criteria were established.The method can analyze the wake velocity deficit and power loss caused by wake interference under wind speed and direction changes over time based on a three-dimensional wake model and SCADA data.A study was conducted using an onshore wind farm in Hebei Province as an example,and the results showed that wind turbines severely affected by dynamic wake accounted for 18%of the wind farm.The rational arrangement of wind turbines in radial distance helps to reduce the loss caused by wake effect.The actual output power was 86.9%of the theoretical output power at its lowest point.The wake loss of the wind farm corresponds to the"larger"level of the evaluation criteria,and the economic efficiency of the wind farm is relatively low during the summer months(June-August).Overall,the wake loss in the wind farm is relatively severe,and the research method has practical value,providing a theoretical basis for the layout and efficiency improvement of wind turbines in the wind farm.

关键词

尾流效应/动态尾流损失/风况时序变化/评估方法

Key words

wake effect/dynamic wake loss/wind time series/evaluation method

分类

能源与动力

引用本文复制引用

高晓霞,董利江,朱玉婷,朱霄珣,王瑜,王喜,韩中合..考虑风况时序的动态尾流损失评估方法[J].可再生能源,2025,43(6):764-771,8.

基金项目

国家自然科学基金项目(52076081) (52076081)

河北省科技计划基础研究专项项目(E2023502091) (E2023502091)

河北省研究生创新资助项目(CXZZSS2023192) (CXZZSS2023192)

山东省重点研发项目(2023CXGC010408). (2023CXGC010408)

可再生能源

OA北大核心

1671-5292

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