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Decentralized coordinated control of hybrid wind-thermal power system

机译:风电混合动力系统的分散协调控制

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Modern power system is a hybrid power system, which contains renewable power plants. In those power plants, wind farm has shown the world's fastest rate of growth. The reported researches about decentralized coordinated control of power system are all based on synchronous generator (SG). It is not suitable that applying this decentralized-coordinated method to a hybrid power system for that the wind-generated energy capacity has been reached a considerable level. Combining correlative measurement modeling and multiple model predictive control, this paper proposes a decentralized coordinated multiple model predictive control (DCM-MPC) for a hybrid wind-thermal power (HWP) system. The transient problems of wind power integration are discussed subsequently. A simple, generic HWP system is used to illustrate the contributions. The results show that the proposed DCM-MPC not only provides an accurate tracking performance, but also improves transient stability of the HWP.
机译:现代电力系统是一种混合动力系统,其中包含可再生能源发电厂。在这些发电厂中,风电场已显示出世界上最快的增长率。电力系统分散协调控制的研究都基于同步发电机(SG)。将这种分散协调方法应用于混合动力系统是不合适的,因为风力发电的能量已经达到相当大的水平。结合相关的测量模型和多模型预测控制,本文提出了一种用于混合式风火电(HWP)系统的分散协调多模型预测控制(DCM-MPC)。随后讨论了风电集成的暂态问题。一个简单的通用HWP系统用于说明贡献。结果表明,提出的DCM-MPC不仅提供了准确的跟踪性能,而且还提高了HWP的瞬态稳定性。

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