电力系统自动化2019，Vol.43Issue(1)：141-148,8.DOI:10.7500/AEPS20180601005
基于正则化投影孪生支持向量机的电力系统暂态稳定评估
Transient Stability Assessment of Power System Based on Projection Twin Support Vector Machine with Regularization
摘要
Abstract
A method is proposed to assess the power system transient stability using projection twin support vector machine with regularization (RPTSVM).The high dimensional binomial optimization problem of transient stability assessment (TSA) based on support vector machine is transformed into two low dimensional binomial optimization problems.The regularization term in the objective function of PTSVM is added to improve the stability of assessment.Firstly, agroup of classification features are extracted from the power system operation parameters to build the original features set, such as feature of power system and the feature of projection energy function.The approach of feature selection is employed to evaluate the classification capability of the original features.Secondly, the optimal feature set is determined to effectively reflect the transient stability of the power system.Then, the features set are divided into stable classes and unstable classes based on RPTSVM.The best projection axis for stable classes and unstable classes are found, so that the class of stable are projected onto the projection hyper-plane of stable class and then clustered as much as possible.While the class of unstable is projected onto the class of stable projection super-plane as far as possible away from the cluster of stable clusters.The computation time of the transient stability assessment is reduced.At the same time, the genetic algorithm is used for parameter optimization and the accuracy of transient evaluation methods is improved.Finally, the simulated results of classic IEEE 145-bus system and China Southern power grid demonstrate the feasibility and validity of the proposed method.关键词
暂态稳定评估/投影孪生支持向量机/遗传算法/广域量测Key words
transient stability assessment/projection twin support vector machine with regularization (RPTSVM)/genetic algorithm/wide area measurement引用本文复制引用
姜涛,王长江,陈厚合,李国庆,葛维春..基于正则化投影孪生支持向量机的电力系统暂态稳定评估[J].电力系统自动化,2019,43(1):141-148,8.基金项目
国家自然科学基金资助项目(51607033) （51607033）
国家重点研发计划资助项目(2016YFB0900903) This work is supported by National Natural Science Foundation of China (No. 51607033) and National Key R&D Program of China (No. 2016YFB0900903) （2016YFB0900903）
