【摘要】 为避免在暂态稳定分析中稳定与不稳定状态的漏报 ,文中结合模糊子集理论和高阶 Taylor级数 ,提出了一种用于在线暂态安全分析的快速事故筛选方法。该方法首先定义了 7种反映事故严重程度的性能指标 ,并把它们作为模糊隶属函数的组合特征输入量 ,然后通过多元多变量的模糊隶属函数 ,产生一个能够指示相对稳定裕度的连续分布的暂态稳定指标。基于这个连续分布的稳定指标 ,可为运行人员提供 3条带 ,即“绝对”稳定带 (稳定指标大 )、“绝对”不稳定带 (稳定指标小 )、“模糊”带 (稳定指标处于中间值 ,即稳定与不稳定边界地带 ) ,有了这 3条带 ,就可对预想事故进行快速的暂态稳定识别。计算仿真结果表明了该方法的快速性、可靠性和有效性更多还原

【Abstract】 For avoiding missing of reporting insecure cases,this paper integrates fuzzy set theory with Taylor series expansions techniques,and presents an efficient method for contingency screening of dynamic security assessment.In the proposed method,seven performance indices reflecting the severity degree of contingencies are defined.Fuzzy set theory is employed to assess transient stability of power systems.The Taylor series expansions are used to produce the input attributes.The fuzzy set theory can derive a continuous- spread stability index to indicate the relative stability degree by means of a fuzzy membership function.It provides three pieces of cincture based on the stability index,i.e.absolute stable cincture,absolute unstable cincture and fuzzy cincture.Fast contingency screening can be realized by the three pieces of cincture.The simulation results show the excellent performance of the proposed method.更多还原