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Effects of voltage unbalance and system harmonics on the performance of doubly fed induction wind generators.

机译:电压不平衡和系统谐波对双馈感应风力发电机性能的影响。

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Inherent difficulties in management of electric power in the presence of an increasing demand for more energy, non-conventional loads such as digital appliances, and non-sustainable imported fossil fuels has initiated a multi-folded effort by many countries to restructure the way electric energy is generated, dispatched, and consumed. Smart power grid is the manifestation of many technologies that would eventually transforms the existing power grid into a more flexible, fault resilient, and intelligent system. Integration of distributed renewable energy sources plays a central role in successful implementation of this transformation. Among the renewable options, wind energy harvesting offers superior engineering and economical incentives with minimal environmental impacts. Doubly fed induction generators (DFIG) have turned into a serious contender for wind energy generators due to their flexibility in control of active and reactive power with minimal silicon loss. Significant presence of voltage unbalance and system harmonics in finite inertia transmission lines can potentially undermine the reliability of these wind generators. The present dissertation has investigated the impacts of system unbalances and harmonics on the performance of the DFIG. Our investigation indicates that these effects can result in an undesirable undulation in the rotor shaft which can potentially invoke mechanical resonance, thereby causing catastrophic damages to the installations and the power grid. In order to remedy the above issue, a control solution for real time monitoring of the system unbalance and optimal excitation of the three phase rotor currents in a DFIG is offered. The optimal rotor currents will create appropriate components of the magneto-motive force in the airgap that will actively compensate the undesirable magnetic field originated by the stator windings. Due to the iterative nature of the optimization procedure, field reconstruction method has been incorporated. Field reconstruction method provides high precision results at a considerably faster pace as compared to finite element method. Our results indicate that by just-in-time detection of the system unbalance and employment of the optimal rotor currents damaging torque pulsation can be effectively eliminated. The side effects of the proposed method in changing the core, copper, and silicon losses are minor and well justified when reliability of the wind generation units are considered.
机译:在对更多能源的需求不断增加,数字设备等非常规负载以及不可持续的进口化石燃料的存在下,电力管理的内在困难已引起许多国家的多重努力,以重组电能的方式生成,调度和使用。智能电网是许多技术的体现,这些技术最终会将现有的电网转变为更加灵活,具有故障恢复能力的智能系统。分布式可再生能源的整合在成功实施这一转型中起着核心作用。在可再生能源方案中,风能收集提供了卓越的工程和经济激励,同时对环境的影响最小。双馈感应发电机(DFIG)已成为风能发电机的重要竞争者,这是因为它们在控制有功功率和无功功率上的灵活性以及最小的硅损耗。有限惯性传输线中明显存在电压不平衡和系统谐波,有可能破坏这些风力发电机的可靠性。本文研究了系统不平衡和谐波对双馈双馈发电机性能的影响。我们的研究表明,这些影响会导致转子轴出现不希望的起伏,从而可能引起机械共振,从而对设备和电网造成灾难性的破坏。为了解决上述问题,提供了一种用于实时监视系统不平衡和在DFIG中三相转子电流的最佳励磁的控制解决方案。最佳转子电流将在气隙中产生适当的磁势分量,从而有效地补偿由定子绕组产生的不良磁场。由于优化过程的迭代性质,因此已合并了场重构方法。与有限元方法相比,场重构方法可以以相当快的速度提供高精度结果。我们的结果表明,通过及时检测系统不平衡和采用最佳转子电流,可以有效消除破坏性转矩脉动。考虑到风力发电机组的可靠性,该方法在改变铁芯,铜和硅损耗方面的副作用很小,并且是合理的。

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