基于样本熵的次同步振荡检测方法研究  

Sample Entropy Method Based Sub-synchronous Oscillation Detection

作　　者：朱振山[1] 董飞飞[1] 

机构地区：[1]武汉大学电气工程学院,湖北武汉430072

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)

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.

关 键 词：次同步振荡 样本熵 扭矩 检测 

分 类 号：TM732[电气工程—电力系统及自动化]