With the rapid development of large-scale regional interconnected power grids,the risk of cascading failures under extreme condi-tions,such as natural disasters and military strikes,has increased significantly.To enha...With the rapid development of large-scale regional interconnected power grids,the risk of cascading failures under extreme condi-tions,such as natural disasters and military strikes,has increased significantly.To enhance the response capability of power systems to extreme events,this study focuses on a method for generator coherency detection.To overcome the shortcomings of the traditional slow coherency method,this paper introduces a novel coherent group identification algorithm based on the theory of nonlinear dynam-ical systems.By analyzing the changing trend of the Euclidean norm of the state variable derivatives in the reduced system,the algorithm can accurately identify the magnitude of the disturbances.Based on the slow coherency methods,the algorithm can correctly recognize coherent generator groups by analyzing system characteristics under varying disturbance magnitudes.This improvement enhances the applicability and accuracy of the coherency detection algorithm under extreme conditions,providing support for emergency control and protection in the power system.Simulations and comparison analyses on IEEE 39-bus system are conducted to validate the accuracy and superiority of the proposed coherent generator group identification method under extreme conditions.展开更多
通过对基于稳定域边界的主导不稳定平衡点法(Boundary of stabiliIy based controlling unstable equilibrium point method,BCU)的前提条件的分析,得到了当故障清除后的电力系统不完全稳定时,应用该方法的一个必要条件:相关的广义梯度...通过对基于稳定域边界的主导不稳定平衡点法(Boundary of stabiliIy based controlling unstable equilibrium point method,BCU)的前提条件的分析,得到了当故障清除后的电力系统不完全稳定时,应用该方法的一个必要条件:相关的广义梯度系统不完全稳定。并证明了使该条件得到满足的一个充分条件:广义梯度系统无源点。在稳定性分析中,可以通过检验该条件来间接地检验电力系统是否满足BCU法的前提条件。对一个4机系统和IEEE 50机测试系统的计算验证了上述的结果。展开更多
基金supported by National Natural Science Foundation of China(Grant No:52477133)Science and Technology Project of China Southern Power Grid(Grant No.GDKJXM20231178(036100KC23110012)+1 种基金GDKJXM20240389(030000KC24040053))Sanya Yazhou Bay Science and Technology City(Grant No:SKJC-JYRC-2024-66).
文摘With the rapid development of large-scale regional interconnected power grids,the risk of cascading failures under extreme condi-tions,such as natural disasters and military strikes,has increased significantly.To enhance the response capability of power systems to extreme events,this study focuses on a method for generator coherency detection.To overcome the shortcomings of the traditional slow coherency method,this paper introduces a novel coherent group identification algorithm based on the theory of nonlinear dynam-ical systems.By analyzing the changing trend of the Euclidean norm of the state variable derivatives in the reduced system,the algorithm can accurately identify the magnitude of the disturbances.Based on the slow coherency methods,the algorithm can correctly recognize coherent generator groups by analyzing system characteristics under varying disturbance magnitudes.This improvement enhances the applicability and accuracy of the coherency detection algorithm under extreme conditions,providing support for emergency control and protection in the power system.Simulations and comparison analyses on IEEE 39-bus system are conducted to validate the accuracy and superiority of the proposed coherent generator group identification method under extreme conditions.
文摘通过对基于稳定域边界的主导不稳定平衡点法(Boundary of stabiliIy based controlling unstable equilibrium point method,BCU)的前提条件的分析,得到了当故障清除后的电力系统不完全稳定时,应用该方法的一个必要条件:相关的广义梯度系统不完全稳定。并证明了使该条件得到满足的一个充分条件:广义梯度系统无源点。在稳定性分析中,可以通过检验该条件来间接地检验电力系统是否满足BCU法的前提条件。对一个4机系统和IEEE 50机测试系统的计算验证了上述的结果。
