一种考虑节点功率的电网连锁跳闸评估方法

A method for evaluating cascading tripping in power network considering nodal power

针对电力系统的连锁跳闸问题,结合继电保护的动作行为,研究了一种基于模式识别技术的连锁跳闸评估方法。首先根据电网连锁跳闸的通常表现行为,并结合电流型和距离型后备保护的动作行为,通过分析,论证了电网节点注入功率对于连锁跳闸的决定作用。在此基础上,提出了利用模式识别技术对电网是否发生连锁跳闸进行评估的方法,该评估方法主要针对电网在给定的节点注入功率状态下电网是否会因给定的初始故障发生连锁跳闸,并给出了采用模式识别技术时的样本结构,相应的模式识别技术以及操作流程。IEEE39系统的算例验证了这种评估方法的有效性。

A cascading tripping evaluation method based on pattern recognition technology was studied in combination with the operating behavior of relay protection so as to solve the cascading tripping problem of the power system. According to the usual performance of cascading tripping, it was proved that the input power of the power network node has a decisive effect on the cascading tripping by analyzing the behavior of the current-mode and distance-type backup protection. On such a basis, a method using pattern recognition technology to evaluate whether or not a cascade trip occurs in a power network is proposed. The method is mainly aimed at judging whether a power network will have a cascading tripping due to a given initial fault under a given input power of the power node. The sample structure, the corresponding pattern recognition technology and the operation flow of the pattern recognition technology were given. Examples of the IEEE39 system verified the effectiveness of this evaluation method.