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Analyzing dynamic performance of stressed power systems in vicinity of instability by modal series method

机译:模态级数法分析不稳定附近应力电力系统的动态性能

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Highly stressed power systems exhibit complex dynamic behaviors such as inter-area oscillations when subjected to large disturbances. In such conditions, nonlinear effects have dominant role in determining dynamic response of the systems. In this paper by using modal series method, dynamic behaviors of the stressed power systems in severe conditions and near instability have been studied. Also two measures, mode dominance measure (MDM) and most perturbed machine factor (MPF) have been introduced. They determine the most dominant modes and identify the most perturbed generators when the system is subjected to a given fault. Contribution factors have been used to show the links between identified modes and machines from the analysis. Time domain simulation has been helped for validation of the results. By using similarity transformation, state variables have been represented in modal space and utilized to check the results. The studies are carried out on the IEEE 50-generator test system which demonstrates a wide range of dynamic characteristics at different loading levels and fault scenarios.
机译:高应力的电力系统在遭受大干扰时会表现出复杂的动态行为,例如区域间振荡。在这种情况下,非线性效应在确定系统的动态响应中起主要作用。本文采用模态级数方法,研究了在严峻条件下和近乎不稳定的情况下应力电力系统的动态行为。还引入了两种措施,即模式优势措施(MDM)和受干扰最大的机器系数(MPF)。当系统遭受给定故障时,它们确定最主要的模式并识别最受干扰的发电机。贡献因子已用于显示分析中已识别模式与机器之间的链接。时域仿真已帮助验证结果。通过使用相似性变换,状态变量已在模态空间中表示,并用于检查结果。这些研究是在IEEE 50发电机测试系统上进行的,该系统演示了在不同负载水平和故障情况下的广泛动态特性。

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