A novel real-time transient stability prediction method based on post-disturbance voltage trajectories

Jin-quan Zhao, Jun Yu Li, Xiaochen Wu, K. Men, Chao Hong, Yongjun Liu
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引用次数: 8

Abstract

With the wide application of phasor measurement units (PMU) and wide area measurement system (WAMS) in power system, the real time detection and emergency control of power system transient instability based on the wide-area measurements has brought wide attention. This paper presents a novel technique for predicting transient stability status of a power system following a large disturbance. The synchronously measured samples of the fundamental frequency voltage magnitudes are used to detect the stability. A stability criterion based on the volt-second integration of post-disturbance voltage trajectory is proposed for detecting the transient instability. The drop rate of voltage magnitude after clearing the fault is embedded into the proposed criterion since it indicates the severity of disturbance in some extent. There are two integration termination criteria for fast prediction. Compare with traditional transient stability prediction methods, in which the post-fault rotor angle and angular velocity samples are used to produce the instability criteria, the proposed method improves the reliability and rapidity of transient stability detection especially for the multiple swing instability cases. Studies with both IEEE 39 test system and China Sothern Power Grid indicates that the proposed method is effective.
一种基于扰动后电压轨迹的暂态稳定实时预测方法
随着相量测量单元(PMU)和广域测量系统(WAMS)在电力系统中的广泛应用,基于广域测量的电力系统暂态不稳定实时检测与应急控制受到了广泛关注。提出了一种预测大扰动后电力系统暂态稳定状态的新方法。采用同步测量的基频电压幅值样本来检测系统的稳定性。提出了一种基于扰动后电压轨迹的电压-秒积分的暂态不稳定检测准则。故障清除后电压幅值的下降率在一定程度上反映了扰动的严重程度,因此嵌入到所提出的判据中。为了快速预测,有两个积分终止准则。与传统暂态稳定预测方法中利用故障后转子角度和角速度样本产生失稳判据相比,该方法提高了暂态稳定检测的可靠性和快速性,特别是对于多摆振失稳情况。在ieee39测试系统和中国南方电网上的实验表明,该方法是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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