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双时间尺度电力系统动态模型降阶研究(一)——电力系统奇异摄动模型 被引量:26
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作者 刘永强 严正 +1 位作者 倪以信 吴复立 《电力系统自动化》 EI CSCD 北大核心 2002年第18期1-5,共5页
电力系统是一个多时间尺度的大规模非线性系统 ,其稳定性分析非常复杂。为提高稳定计算的效率 ,对复杂的电力系统模型进行化简 ,以实现系统化降阶非常必要。文中以电力系统物理电路为基础 ,导出了一个计及电磁快动态的电力系统奇异摄动... 电力系统是一个多时间尺度的大规模非线性系统 ,其稳定性分析非常复杂。为提高稳定计算的效率 ,对复杂的电力系统模型进行化简 ,以实现系统化降阶非常必要。文中以电力系统物理电路为基础 ,导出了一个计及电磁快动态的电力系统奇异摄动模型。推导中 ,以感应电动机并联线性阻抗为负荷模型 ,并考虑了线路充电电容与负荷补偿电容。该模型是一个标准的双时间尺度模型 。 展开更多
关键词 双时间尺度 电力系统 动态模型降阶 奇异摄动模型 电磁暂态 电力系统稳定性 非线性分析 微分代数方程
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Extended and improved slicing technologies for Petri nets
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作者 于汪洋 Yan Chungang +1 位作者 Ding Zhijun Fang Xianwen 《High Technology Letters》 EI CAS 2013年第1期98-104,共7页
Petri net is an important tool to model and analyze concurrent systems,but Petri net models are frequently large and complex,and difficult to understand and modify.Slicing is a technique to remove unnecessary parts wi... Petri net is an important tool to model and analyze concurrent systems,but Petri net models are frequently large and complex,and difficult to understand and modify.Slicing is a technique to remove unnecessary parts with respect to a criterion for analyzing programs,and has been widely used in specification level for model reduction,but researches on slicing of Petri nets are still limited.According to the idea of program slicing,this paper extends slicing technologies of Petri nets to four kinds of slices,including backward static slice,backward dynamic slice,forward static slice and forward dynamic slice.Based on the structure properties,the algorithms of obtaining two kinds of static slice are constructed.Then,a new method of slicing backward dynamic slice is proposed based on local reachability graph which can locally reflect the dynamic properties of Petri nets.At last,forward dynamic slice can be obtained through the reachability marking graph under a special marking.The algorithms can be used to reduce the size of Petri net,which can provide the basic technical support for simplifying the complexity of formal verification and analysis. 展开更多
关键词 Petri nets SLICE model reduction local reachability graph
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