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Wide-area Method for Self-healing of Smart Grids in Unstable Oscillations

机译：不稳定振荡​​中智能电网自我修复的广域方法

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Fast healing of the network is as a main concern for remedial action that can prevent cascade tripping of the power system. Lack of practical solutions makes it difficult to heal the network as fast as possible. This article proposes a fast and intelligent method to heal the network from unstable conditions, thereby preventing power system cascade tripping and blackouts. At first, a method is proposed to centrally detect unstable synchronous machine(s) that should be isolated from the network. Then, the loads that should be shed are selected in an intelligent approach. Accordingly, the loads that have more influence on oscillation damping are selected for load shedding. Finally, a very fast convex optimization method, as an advanced computational tool, is applied on a non-linear power system to define the number of loads that should be shed. Using this method prevents network oscillation from being damped considerably fast, and transmission lines overloading is prevented after large generation outage, which in turn can prevent protection relays maloperation. The effectiveness of the proposed methods is investigated on a 39-bus New England system, and corresponding results are presented.
机译：网络的快速恢复是补救措施的主要关注点，补救措施可以防止电力系统的级联跳闸。缺乏实际的解决方案使得难以尽快修复网络。本文提出了一种快速，智能的方法来修复网络中的不稳定状况，从而防止电力系统级联跳闸和停电。首先，提出了一种方法来集中检测应该与网络隔离的不稳定同步机。然后，以一种智能的方式选择应该减轻的负载。因此，选择对振动阻尼影响更大的负载来进行减载。最后，一种非常快速的凸优化方法，作为一种先进的计算工具，被应用在非线性电力系统上，以定义应减轻的负荷数量。使用这种方法可以防止网络振荡很快衰减，并且可以防止大的发电中断后传输线过载，从而可以防止保护继电器误动作。在39辆新英格兰系统上研究了所提方法的有效性，并给出了相应的结果。

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