一种识别极限诱导分岔点的改进连续潮流算法  

An Improved Continuous Power-Flow Algorithm for Identifying Limit-Induced Bifurcation Point

作　　者：王奇[1] 刘明波[1] 

机构地区：[1]华南理工大学电力学院,广东广州510640

出　　处：《华南理工大学学报（自然科学版）》2008年第2期133-138,共6页Journal of South China University of Technology(Natural Science Edition)

基　　金：国家自然科学基金资助项目(50277013)

摘　　要：为提高计算效率并准确识别鞍结分岔点和极限诱导分岔点,提出了一种改进的连续潮流算法.该算法将P-V曲线的计算过程分为3个阶段,根据各阶段连续潮流计算的不同特点,运用与之相匹配的计算方法,在保证计算精度的同时提高其计算速度.此外,在分析极限诱导分岔机理及特征的基础上,给出识别极限诱导分岔点的判据,并应用所提出的分阶段连续潮流算法对分岔点类型进行识别,判断引发极限诱导分岔的关键设备以及与极限诱导分岔密切相关的电压/无功转换点.最后以IEEE 14节点和118节点系统为例,对其进行数值仿真并与现有方法的结果作对比,进一步验证了所提方法的合理性和有效性.In order to improve the calculation efficiency and accurately identify the saddle-node bifurcation point （SNBP） and the limit-induced bifurcation point （LIBP）, an improved continuous power-flow （CPF） algorithm is presented, in which the calculation process of P-V curve is divided into three stages, and the calculation with high accuracy is accelerated by matching a correct method according to the characteristics of the continuous power-flow calculation in each stage. Then, based on the analysis of the mechanism and characteristics of LIBP, a criterion to identify the LIBP is proposed. Moreover, the proposed three-stage CPF algorithm is used to identify the bifurcation points and to judge the key devices inducing the LIBP as well as the voltage/reactive power constraint exchange point closely related to LIBP. Numerical simulation and comparison are finally performed on IEEE 14-bus and 118- bus systems. The results verify the rationality and effectiveness of the proposed algorithm.

关 键 词：极限诱导分岔点 鞍结分岔点 类型识别 改进连续潮流算法 

分 类 号：TM76[电气工程—电力系统及自动化]