中国电机工程学报Issue(19)：3178-3186,9.DOI:10.13334/j.0258-8013.pcsee.2014.19.018
基于响应轨迹和核心向量机的电力系统在线暂态稳定评估
Power System On-line Transient Stability Assessment Based on Response Trajectory and Core Vector Machine
摘要
Abstract
On the issue of operation and scheduling, this paper proposed the assessment method for the power system on-line transient stability, based on response trajectory and core vector machine (CVM). In the assessment, original feature sets structured by response trajectory was mapped to a higher dimensional space, so that the assessment was reformed as minimum enclosing ball problem, whose solution could be achieved by approximation algorithm. Meanwhile, a CVM was used to the off-line training and on-line test process to accomplish contingency screening and classify the system transient status. Experiment results on IEEE New England 39-bus system and a real world system demonstrated the proposed CVM based assessment algorithm has the best precision and the least time and space complexities.关键词
暂态稳定评估/响应轨迹/核心向量机/人工智能/故障筛选Key words
transient stability assessment (TSA)/response trajectory/core vector machine (CVM)/artificial intelligence/contingency screening分类
信息技术与安全科学引用本文复制引用
王亚俊,王波,唐飞,陈得治,王静,王乙斐,周雨田..基于响应轨迹和核心向量机的电力系统在线暂态稳定评估[J].中国电机工程学报,2014,(19):3178-3186,9.基金项目
国家863高技术基金项目(2011AA05A119)；国家电网公司大电网重大专项资助项目(SGCC-MPLG001-029-2012)。The National High Technology Research and Development of China 863 Program (2011AA05A119)；Supported by State Grid Corporation of China, Major Project on Planning and Operation Control of Large Scale Grid (SGCC-MPLG001-029-2012) （2011AA05A119）
