提出了一种基于PEBS法暂态稳定分析的能量裕度灵敏度计算方法。该方法以系统故障前稳定平衡点作为暂态势能参考点,沿持续故障轨迹采用数值方法计算暂态势能。在系统持续故障仿真和灵敏度动态方程计算过程中,引入高阶Taylor级数展开技术...提出了一种基于PEBS法暂态稳定分析的能量裕度灵敏度计算方法。该方法以系统故障前稳定平衡点作为暂态势能参考点,沿持续故障轨迹采用数值方法计算暂态势能。在系统持续故障仿真和灵敏度动态方程计算过程中,引入高阶Taylor级数展开技术,可以在保持计算精度的前提下提高计算步长,显著提高计算速度。将到达临界势能点的判据展开以时间为自变量的多项式形式,通过解方程求得到达临界势能点的时间,从而快速确定临界势能点的位置。提出的能量裕度灵敏度分析方法包括两方面:计算故障前机组机械注入功率变化对能量裕度的灵敏度,用于指导预防控制;计算故障切除后的控制措施对稳定裕度的影响,用于指导紧急控制。New England 10机系统算例验证了该方法的有效性。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
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
文摘提出了一种基于PEBS法暂态稳定分析的能量裕度灵敏度计算方法。该方法以系统故障前稳定平衡点作为暂态势能参考点,沿持续故障轨迹采用数值方法计算暂态势能。在系统持续故障仿真和灵敏度动态方程计算过程中,引入高阶Taylor级数展开技术,可以在保持计算精度的前提下提高计算步长,显著提高计算速度。将到达临界势能点的判据展开以时间为自变量的多项式形式,通过解方程求得到达临界势能点的时间,从而快速确定临界势能点的位置。提出的能量裕度灵敏度分析方法包括两方面:计算故障前机组机械注入功率变化对能量裕度的灵敏度,用于指导预防控制;计算故障切除后的控制措施对稳定裕度的影响,用于指导紧急控制。New England 10机系统算例验证了该方法的有效性。
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。
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.
