电力勘测设计Issue(3)：8-14,37,8.DOI:10.13500/j.dlkcsj.issn1671-9913.2025.03.002
基于多源数据融合的风机选型优化方法研究
Research on Optimization Method of Fan Selection Based on Multi-Source Data Fusion
白宇星 1郭相 1王志宽 1杨建成 2王引迪 1刘天英1
作者信息
- 1. 中国电力建设工程咨询有限公司,北京 100120
- 2. 中国电力工程顾问集团有限公司,北京 100029
- 折叠
摘要
Abstract
To enhance wind farm efficiency and economic benefits,this study developed a wind turbine selection optimization method based on multi-source data fusion.By integrating data from meteorological stations,mesoscale databases,and wind measurement towers,a wind resource assessment model was established.A technical-economic comparison of five mainstream 3.0 MW turbine models was conducted,and a multi-objective optimization model was constructed.The results were validated using CFD simulation and lifecycle economic evaluation.The study shows that this approach reduces wind speed prediction error to within 3%.E turbine demonstrated superior performance under low wind speed and high turbulence conditions,with a power coefficient of 0.487.The project's internal rate of return ranged from 10.2%to 14.8%,providing scientific support for wind farm planning.关键词
风机选型/多源数据融合/多目标优化模型Key words
fan selection/multi source data fusion/multi-objective optimization model分类
动力与电气工程引用本文复制引用
白宇星,郭相,王志宽,杨建成,王引迪,刘天英..基于多源数据融合的风机选型优化方法研究[J].电力勘测设计,2025,(3):8-14,37,8.
