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Optimisation and comparison of generators with different magnet materials for a 6MW offshore direct drive wind turbine

机译:6MW海上直驱风机用不同磁体材料的发电机的优化与比较

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In the past few years interest in the use of low speed permanent magnet generators for direct-drive wind turbine generator applications has increased significantly. The significant fluctuations in NdFeB magnet prices has encouraged designers to optimise magnet utilisation and to look at alternative magnet materials for wind turbine electrical generators. In this paper an analytical design model is developed for 6 MW offshore direct-drive wind turbine generators using different magnet materials (one with surface mounted NdFeB and another with flux concentrating ferrite magnet). Finite element method models are used to check key dependent variables calculated by the analytical models. The generator designs are optimised using a hybrid optimisation method incorporating a Genetic Algorithm and Pattern Search approaches. This is applied for four different objective functions, the first two which concentrate on maximising rated torque per unit magnet mass or unit of generator active material cost. They are simple and quick to execute but prioritise cost reduction and ignore lower efficiencies leading to lower turbine energy yields and hence poor cost of energy. A third objective function which seeks to minimise the sum of the generator active material cost and the costs of lost revenue over a finite number of operational years. This gives similar results to a fourth objective function which is an explicit turbine cost of energy calculation. The cost of NdFeB magnets affect the cost of energy of the surface mounted generator which tested with different cost €40/kg, €60/kg and €80/kg. The ferrite magnet generator being better when the NdFeB magnet price rises to €80/kg.
机译:在过去的几年中,将低速永磁发电机用于直接驱动风力涡轮发电机的兴趣大大增加。钕铁硼磁体价格的大幅波动鼓励设计人员优化磁体利用率,并研究用于风力涡轮发电机的替代磁体材料。在本文中,为使用不同磁体材料的6兆瓦海上直驱风力发电机组开发了一种分析设计模型(一种采用表面安装NdFeB,另一种采用磁通集中的铁氧体磁体)。有限元方法模型用于检查分析模型计算出的关键因变量。使用混合遗传算法和模式搜索方法的混合优化方法对发生器设计进行优化。这适用于四个不同的目标函数,前两个目标函数着重于使单位磁体质量或发电机活性物质成本单位的额定转矩最大化。它们简单,执行迅速,但是优先考虑降低成本,而忽略了较低的效率,从而导致较低的涡轮机能源收益,从而降低了能源成本。第三目标函数试图在有限的运行年限内将发电机活性物质成本和收入损失成本的总和最小化。这给出了与第四目标函数相似的结果,该第四目标函数是显式的涡轮机能量计算成本。 NdFeB磁铁的成本会影响表面安装发电机的能源成本,该发电机的测试成本分别为40欧元/千克,60欧元/千克和80欧元/千克。当钕铁硼磁体价格上涨到80欧元/千克时,铁氧体磁体发生器会更好。

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