摘要
提出一种电力系统实时暂态稳定预测新方法,它以模糊理论为基础,分析扰动后系统的角加速度和转子功能,不仅能判别电力系统扰动后是否稳定,还能说明系统的稳定程度。仿真表明,该方法对暂态稳定的预测快速、准确,与其它基于大量计算的方法相比,更易于实现。
This paper presents a new method for the real - time prediction of transient stability of electrical power systems. It not only can decide whether the heavily perturbed systems is stable, but also can specify the level of its stablity. Based on pattern recognition principles and the fuzzy sets theory, the approach assesses the transient stablity by considering the values of the accelerations and kinetic energies of the generators, after the occurrence of a large disturbance. The results obtained from a simulation of a system illustrated that this method is faster, more exact and easier to be realized than the conventional methods based on a large amount of computation.
出处
《电力系统自动化》
EI
CSCD
北大核心
1993年第12期31-36,共6页
Automation of Electric Power Systems
关键词
暂态稳定
预测
模糊子集
电力系统
Transient Stability, Real - time Prediction, Pattern Recognition, Fuzzy Sets, BD Distance, Assessment Factors
