基于多类型受扰轨迹的电力系统低频振荡分析

发布时间：2018-03-18 07:14

本文选题：电力系统　切入点：低频振荡　出处：《电力自动化设备》2014年12期 　论文类型：期刊论文

【摘要】：传统的Prony算法抗干扰能力差,且无法给出其振荡模式辨识结果的准确度评价,因此提出一种基于多类型扰动轨迹的低频振荡分析方法,并对其准确度进行评价。利用各类型扰动信号与参考信号的平均能量之比对信号振幅进行预处理,避免振幅差异过大导致某些信号被掩盖。利用Prony算法对多类型的扰动轨迹进行分析获取主导振荡模式,计算各主导振荡模式的振幅偏差和相位偏差评价主导振荡模式的可信度。结合各主导振荡模式的振幅偏差、相位偏差、振荡能量百分比建立综合评价指标评价Prony算法的阶数选择是否合理。算例结果表明,所提方法及相应的评价方法具有良好的实用性。
[Abstract]:The traditional Prony algorithm has poor anti-jamming ability and can not give the accuracy evaluation of its oscillation mode identification result. Therefore, a low frequency oscillation analysis method based on multi-type perturbation trajectory is proposed. The accuracy of the signal is evaluated. The amplitude of the signal is preprocessed by the ratio of the average energy of each type of disturbance signal to the reference signal. The Prony algorithm is used to analyze and obtain the dominant oscillation mode by analyzing the multi-type perturbation trajectories, and avoiding the excessive amplitude difference which causes some signals to be masked. The amplitude deviation and phase deviation of each dominant oscillation mode are calculated to evaluate the reliability of the dominant oscillation mode. A comprehensive evaluation index is established to evaluate whether the order selection of Prony algorithm is reasonable. The numerical results show that the proposed method and the corresponding evaluation method have good practicability.
【作者单位】：南京工程学院电力工程学院;
【基金】：国家自然科学基金资助项目(51077068,51107120)~~
【分类号】：TM712

【参考文献】