基于遗传算法的风电场全生命周期成本预测

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关键词：风电场；成本预测；全生命周期；遗传算法

中图分类号：F426.61 文献标识码：A 文章编号：1008-9500（2025）08-0052-04

DOI：10.3969/j.issn.1008-9500.2025.08.016

Prediction of Whole Life Cycle Cost of Wind Farm Based on Genetic Algorithm

WEIChuanmeng

（Guangxi Branch of China Three Gorges New Energy（Group） Co.，Ltd.，Nanning53O2Oo，China）

Abstract：Withthe increasingadvancement of wind powertechnology in China，thepower generation capacityof wind turbinescontinues to improve.Anin-depthanalysis of thecost structureof wind power generation from the perspectiveof theentirelifecycleisconductedtopromotecostreductionandefficiencyimprovement.Bycalculatingthecostperkilowat hour，theeconomicbenefitsof thewindfarmareevaluated，taking intoaccount thewakeeffectbetweenwindturbines，the power generationpotentialofthewindfarm，andthefullifecyclecostoftheproject.Onthisbasis，aninnovative windfarm unitcostpredictionmodelbasedongeneticalgorithmisproposed，providinganewtoolforeconomicanalysisofwindpower projects.

Keywords：wind farm; cost forecast; full lifecycle; genetic algorithm

在经济全球化快速发展的趋势下，能源短缺已成为世界各国迫切需要解决的问题，而如何有效利用清洁能源已成为各国需要面对的技术难题[1]。（剩余3614字）