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A combined model and measurement based scheme for assessment of poorly damped power swings

机译:基于模型和测量的组合方案,用于评估弱阻尼功率摆幅

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Despite the use of power swing damping controllers in FACTS, HVDC and generator excitation systems, poorly damped or undamped swings are occasionally seen in many power systems due to the inability of the controllers to cater to a large variety of operating conditions and swing modes. In such situations, the intervention of system operators is required to steer the system to a stable condition. Online eigen-analysis of the linearized system model may be used to suggest corrective actions, but the results need to be correlated with the actual observations, to correctly identify the critical modes and gain confidence in the proposed actions. Therefore, a combination of model based analysis and wide-area measurement based identification of critical swing modes is essential to provide decision support during actual operation. This paper proposes such a scheme and demonstrates it feasibility by presenting case studies on a realistic large power system.
机译:尽管在FACTS,HVDC和发电机励磁系统中使用了功率摆幅阻尼控制器,但由于控制器无法适应多种运行条件和摆幅模式,因此在许多电源系统中偶尔会出现阻尼不佳或无阻尼的摆幅。在这种情况下,需要系统操作员的干预才能使系统进入稳定状态。线性化系统模型的在线特征分析可用于建议纠正措施,但结果需要与实际观察结果相关联,以正确识别关键模式并获得对建议措施的信心。因此,基于模型的分析和基于广域测量的关键摆动模式识别相结合对于在实际操作中提供决策支持至关重要。本文提出了这样的方案,并通过在实际的大型电力系统上进行案例研究来证明其可行性。

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