摘要
基于样本熵算法提出了一种可实时监测次同步振荡的方法,以转子扭矩为分析信号,计算连续时间段内扭矩的样本熵,通过分析样本熵的变化规律,实现次同步振荡的检测。所需数据量少,有较强的抗噪能力,IEEE第一标准模型的仿真分析验证了所提方法的有效性。
The paper proposes a new sample entropy algorithm based method to perform the real-time detection of sub-synchronous oscillation （SSO）,and calculates the sample entropy of rotor torque during continuous period by analyzing the rotor torque signal.Through an analysis of the variation of the sample entropy,sub-synchronous oscillation detection is implemented.The method needs less data and has strong anti-interference ability.The effectiveness of the proposed method is proven by the result of the IEEE first benchmark system model simulation.
出处
《陕西电力》
2014年第10期6-9,共4页
Shanxi Electric Power
基金
国家自然科学基金项目资助(51207114)
关键词
次同步振荡
样本熵
扭矩
检测
sub-synchronous oscillation
sample entropy
torque
detection
