重庆大学学报Issue(1)：32-38,97,8.DOI:10.11835/j.issn.1000-582X.2016.01.005
基于 Adaboost 算法的输电线路舞动预警方法
An early warning method of transmission line galloping based on Adaboost algorithm
摘要
Abstract
Transmission line galloping is a worldwide problem which has not been fully understood,and it has seriously threatened the safe and stable operation of a transmission system.We investigated the factors of meteorological environment that influence galloping, and proposed an early warning method of transmission line galloping based on the Adaboost ensemble learning algorithm.In this method,the decision stump based on the Gini index is used as the weak classifier.The prediction result and its confidence are obtained by training and weighted summing of multiple weak classifiers,which are helpful information for the decision making of operators and dispatchers of power grids.The effectiveness of the proposed method is proved by the verification experiment with historical data.关键词
输电线/舞动/预警/Adaboost 算法/决策桩Key words
transmission line/galloping/early warning/Adaboost algorithm/decision stump分类
信息技术与安全科学引用本文复制引用
李哲,王建,梁允,熊小伏,翁世杰..基于 Adaboost 算法的输电线路舞动预警方法[J].重庆大学学报,2016,(1):32-38,97,8.基金项目
重庆市科技攻关（应用重点）项目（cstc2012gg-yyjsB90003）；国家电网公司重大基础前瞻科技项目（SG20141187）。Supported by the key project of Chongqing Science ＆ Technology Commission（cstc2012gg-yyjsB90003），and the Major and Basic Project of State Grid Foresight Science and Technology（SG20141187）． （）
