摘要
孤岛检测易受到电网扰动干扰,而错误地将电网扰动情况误判为孤岛情况,导致光伏发电(photovoltaic,PV)系统退出运行,因此孤岛检测需要具备区分孤岛和电网干扰的能力。提出多分辨率奇异谱熵和支持向量机结合进行孤岛与扰动识别的新方法。多分辨率奇异谱熵是小波变换后的一种信号处理方法,将多分辨分析与熵融合,其信息量以熵的形式体现出来,更能够展现孤岛和电网扰动内在的不同特征。仿真结果表明,所提方法具有分类准确率高、对同类样本具有稳定性的优点,是孤岛与扰动识别的有效方法。
Due to the judgment of islanding is easy to be interfered by grid disturbance, island detection device may mal-judged islanding with grid disturbance, and the wrong judgement may cause the consequence of photovoltaic out of service. The detection device must provide with the ability to distinguish between islanding and grid disturbance. A novel approach to detect and classify islanding or grid disturbance was presented based on multi-resolution singular spectrum entropy and support vector machines （SVM）. As a signal processing method after wavelet transformation, multiresolution singular spectnun entropy combining wavelet and spectrum analysis with entropy as output can extract the intrinsic different＇features between islanding and grid disturbance. Simulation results indicated that the method had good performance of accuracy and stability for the same type of samples.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2011年第7期64-70,共7页
Proceedings of the CSEE
基金
国家自然科学基金项目(50977029)~~
关键词
电力系统
孤岛
多分辨率奇异谱熵
支持向量机
非孤岛
小波
power system
islanding
multi-resolutionsingular spectrum entropy
support vector machines （SVM）
non-islanding
wavelet
