摘要
基于连续潮流法和崩溃点法,提出了识别和计算极限诱导分岔点和鞍结分岔点的2阶段混合算法。该方法结合了连续潮流法和崩溃点法各自的优点,并能考虑到所有发电机(包括平衡发电机)的功率限制。在第1阶段中应用常规的连续潮流法,加大步长快速穿越崩溃点;第2阶段通过分析比较,选用不同的算法精确识别和计算崩溃点。对IEEE118节点和IEEE300节点试验系统的计算结果表明,该算法能准确地识别静态电压稳定崩溃点,并有效地解决连续潮流计算中平衡发电机功率越限问题。
A hybrid method for identifying limit induced bifurcation point and saddle node bifurcation point in two stages is proposed, which is based on continuous power flow (CPF) method and point of collapse (PoC) method. The proposed method in this paper combines the advantages of CPF method and PoC method, and can eonsider power limits of all the generators in a power system, especially the power limit of the slack one. At the first stage, by using a conventional CPF method, it can go through the collapse point quickly by a large step. At the second stage, different methods can be used to identify and compute the collapse point accurately through analysis and comparison. The effectiveness of this method for analyzing the steady-state voltage collapse point and considering the power limit of the slack generator in the CPF computation are demonstrated through numerical results for IEEE 118-hus and 800-bus test systems.
出处
《电力系统自动化》
EI
CSCD
北大核心
2006年第24期17-20,43,共5页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(50277013)。~~
关键词
电压稳定
极限诱导分岔点
鞍结分岔点
连续潮流法
崩溃点法
平衡发电机功率限制
voltage stability
limit induced bifurcation point
saddle node bifurcation point
continuous power flow (CPF)method
point of collapse (PoC) method
power limit of slack generator