基于多测点正序电压相关性与典型模式匹配寻优的电压暂降源定位

发布时间：2018-05-05 17:52

本文选题：电压暂降 + 故障定位　；参考：《电工技术学报》2017年17期

【摘要】：为解决故障类型和过渡电阻对电压暂降源定位结果的影响,提出了一种基于多测点正序电压相关性与典型模式匹配寻优的电压暂降源定位方法。该方法首先采用多个测点故障前后的正序电压变化量作为特征量构建故障模式,采用欧式距离测度和Spearman秩相关系数定义模式之间的相似度。在各支路中点预设故障形成典型模式群,此后将测点正序电压量测量构成的待识别模式与典型模式群进行相似匹配,根据相似度将典型模式聚类为多个子群,将相似度最大的子群所对应的线路组成初选故障线路集,缩小定位搜索空间。最后建立最优估计模型,以相似度最大为目标函数,以初选故障线路集中的故障线路号及故障距离为优化变量,寻找最优匹配的故障模式,利用自适应粒子群优化算法对模型进行求解,确定故障线路和故障位置。采用IEEE 30和IEEE 33节点系统验证了该方法的可行性和有效性,结果表明该方法能有效克服故障类型和过渡电阻对电压暂降源定位的影响,定位精度高。
[Abstract]:In order to solve the influence of fault type and transition resistance on the location results of voltage sag, a voltage sags location method based on the correlation of positive sequence voltage and typical mode matching is proposed. In this method, the fault mode is constructed by using the positive sequence voltage variation before and after the fault at several measuring points as the characteristic quantity, and the similarity between the modes is defined by the Euclidean distance measure and the Spearman rank correlation coefficient. A typical pattern group is formed by default fault at the midpoint of each branch. After that, the pattern to be identified is similar to that of the typical pattern group, and the typical pattern is clustered into several subgroups according to the similarity. The lines corresponding to the most similar subgroups are formed into primary fault line sets, and the location search space is reduced. Finally, the optimal estimation model is established. The maximum similarity is taken as the objective function, and the fault line number and fault distance in the primary fault line concentration are taken as the optimization variables to find the optimal matching fault mode. Adaptive particle swarm optimization (APSO) algorithm is used to solve the model to determine the fault line and fault location. The feasibility and effectiveness of this method are verified by using IEEE 30 and IEEE 33 bus systems. The results show that the method can effectively overcome the influence of fault type and transition resistance on voltage sag source location, and the positioning accuracy is high.
【作者单位】：福州大学电气工程与自动化学院;国网福建省电力有限公司电力科学研究院;
【基金】：国家自然科学基金项目(51777035) 福建省自然科学基金项目(2016J01219)资助
【分类号】：TM714.2

【相似文献】