| 几何约束条件下海上风电场布局优化方法研究 |
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| 引用本文： | 张子良,郭乃志,易侃,李健英,牟金磊.几何约束条件下海上风电场布局优化方法研究[J].太阳能学报,2023,44(2):116-122. |
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| 作者姓名： | 张子良 郭乃志 易侃 李健英 牟金磊 |
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| 作者单位： | 1.中国长江三峡集团有限公司 科学技术研究院,北京 100038; 2.中国科学院工程热物理研究所,北京 100190; 3.上海勘测设计研究院有限公司,上海 200335; 4.中国三峡新能源（集团）股份有限公司,北京 101100 |
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| 基金项目： | 中国长江三峡集团有限公司科研项目（WWKY-2020-0703; WWKY-2020-0015） |
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| 摘 要： | 考虑实际工程需求，开发一种几何约束条件下海上风电场智能布局优化方法。该方法使用Gaussian模型计算风力机尾流区的速度亏损，并以最大化风电场年发电量为目标采用差分进化算法进行优化，可满足海上风电场布局时的各类几何约束。利用该方法分别在3行、4行、7行几何约束下对中国某海上风电场的风力机排布方式进行优化。结果显示，相比于原始布局方案，在考虑海缆铺设成本增加的情况下布局优化方案可提升风电场年发电量2.13%～2.64%。进一步分析表明，布局优化过程中可行解数量的设置需综合考虑智能算法寻优难度的影响。
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| 关 键 词： | 海上风电场 风力机 布局 差分进化算法 几何约束 |
| 收稿时间： | 2021-09-07 |
INVESTIGATION OF OFFSHORE-WIND-FARM LAYOUT OPTIMIZATION UNDER GEOMETRICAL CONSTRAINTS |
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| Zhang Ziliang,Guo Naizhi,Yi Kan,Li Jianying,Mu Jinlei.INVESTIGATION OF OFFSHORE-WIND-FARM LAYOUT OPTIMIZATION UNDER GEOMETRICAL CONSTRAINTS[J].Acta Energiae Solaris Sinica,2023,44(2):116-122. |
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| Authors: | Zhang Ziliang Guo Naizhi Yi Kan Li Jianying Mu Jinlei |
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| Affiliation: | 1. Science and Technology Research Institute, China Three Gorges Corporation, Beijing 100038, China; 2. Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China; 3. Shanghai Investigation, Design and Research Institute Co., Ltd., Shanghai 200335, China; 4. China Three Gorges Renewables （Group） Co., Ltd., Beijing 101100, China |
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| Abstract: | Considering the actual engineering requirements, this paper proposes an intelligent offshore-wind-farm layout optimization approach under geometrical constraints. The proposed approach adopts the Gaussian wake model to calculate the velocity deficit, and maximizes the wind-farm annual energy production （AEP） with a differential evolution algorithm, which can meet various geometrical constraints in the offshore-wind-farm layout optimization. Then this approach is used to optimize the wind turbine layout for a practical offshore wind farm under 3-, 4-, 7-rows geometrical constraints. The optimized results indicate that compared with the original layout scheme, the layout optimization scheme can increase the AEP of the wind farm by 2.13%-2.64% when considering the increase of cable laying cost. Further analysis suggests that the setup of potential solution number should consider the difficulty of getting the optimized result for this intelligent method. |
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| Keywords: | offshore wind farms wind turbines layout differential evolution algorithm geometrical constraint |
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