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On the optimization of generators for offshore direct drive wind turbines

机译:关于海上直驱风力发电机组的优化

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摘要

The objective of this paper is to optimize direct drive permanent magnet synchronous generators for offshore direct drive wind turbines in order to reduce the cost of energy. A 6MW wind turbine design is assumed and parametric electromagnetic and structural generator models are introduced for a surface-mounted magnet generator topology (using magnets with high BHmax) and a flux-concentrating variant (using magnets with lower BHmax). These are optimized using a hybrid Genetic Algorithm and Pattern Search process and the results show that the surface-mounted permanent magnet generator produces the lower cost of energy. The choice of objective function is addressed and it is found that a simplified metric incorporating generator cost and losses proxy produces similar designs to a full cost of energy calculation. Further steps to improve the quality of the model include the effect of generator mass on the design and cost of the turbine tower and foundation, which can add €0.4m to the turbine cost. Further optimizations are carried out to show the impacts of magnetic material costs (doubling this leads to a €1.1/MWh increase in cost of energy) and generator diameter limits (increasing the upper limit from 6m to 8m leads to a 0.9% drop in cost of energy) have on the choice of optimum independent variables.
机译:本文的目的是为海上直接驱动风力涡轮机优化直接驱动永磁同步发电机,以降低能源成本。假定采用6兆瓦风力涡轮机设计,并针对表面安装式磁体发电机拓扑(使用具有高BHmax的磁体)和磁通集中方案(使用具有较低BHmax的磁体)引入了参数电磁和结构发电机模型。使用混合遗传算法和模式搜索过程对其进行了优化,结果表明,表面安装式永磁发电机产生的能源成本较低。解决了目标函数的选择,发现简化的度量标准结合了发电机成本和损耗代理,可以产生与全部能源计算成本相似的设计。改善模型质量的其他步骤包括发电机质量对涡轮机塔架和基础的设计以及成本的影响,这可能使涡轮机成本增加40万欧元。进行了进一步的优化,以显示磁性材料成本的影响(加倍导致能源成本增加1.1欧元/兆瓦时)和发电机直径限制(将上限从6m增加到8m导致成本降低0.9%)的能量)取决于最佳自变量的选择。

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