配电网谐波源定位的支持向量机估计算法  

Support Vector Machine Estimating Algorithm of Harmonic Source Localization in Power Distribution Network

作　　者：马历[1] 刘开培[1] 雷肖[1] 

机构地区：[1]武汉大学电气工程学院,湖北省武汉市430072

出　　处：《中国电机工程学报》2008年第10期111-116,共6页Proceedings of the CSEE

基　　金：国家自然科学基金项目(50677048)~~

摘　　要：使用一种简化的方法确定谐波监测点的位置。该方法基于电路网络拓扑分析,通过计算母线谐波电压相对注入谐波电流变化的敏感因子,确定谐波监测点的位置;利用谐波监测点的实时数据,建立基于支持向量机算法的谐波源定位估计器,实现谐波源的位置估计。谐波源定位估计器通过基于支持向量机算法进行设计。对线型估计器、基于多项式核函数以及径向基核函数的估计器进行了比较,实验结果表明,基于径向基核函数的非线性支持向量机估计器具有更高的估计精度,且能够较准确地判定谐波源的位置。A simplified method has been used, which is based on circuit network topology analysis to make sure where the harmonic detecting spots are. The method computes sensitivity parameter that reflects variability between bus harmonic voltages and injected harmonic currents. Then it is to localize harmonic sources using the real-time data in detecting spots and build harmonic estimator that is based on support vector machine algorithm. The comparison among linear, multilayer perceptrons, radial basis function estimators have been made. The simulation shows that radial basis function estimator has most precise and it can localize harmonic sources more precise.

关 键 词：谐波源 支持向量机 估计 径向基 定位 

分 类 号：TM74[电气工程—电力系统及自动化]