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A new power sensitivity method of ranking branch outagecontingencies for voltage collapse

机译:一种新的对电压崩溃的分支停电事故进行排序的功率敏感性方法

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摘要

The objective of this paper is to present a powerful procedure fornidentifying severe single branch outage contingencies with respect tonsaddle-mode bifurcation induced voltage collapse, given a power systemnoperating point, a load demand forecast, and a generation dispatch. Thennew power sensitivity ranking algorithm for voltage collapse, callednΛ/MVA sensitivity, provides more accurate "distance to collapse"nestimates than linear admittance sensitivity, yet requires only slightlynmore computation time. The distinguishing features are the ability (1)nto rank all branches in a large-scale power system quickly, and (2) tonestimate the outage contingency bifurcation values accurately. As annillustration, the new Λ/MVA sensitivity ranking algorithm cannestimate all 6689 single branch outage contingency bifurcation pointsn(Λ*ctgc) of a 3493 bus power system within 3% relativenerror, except for two branches within 7%, in less than 4 min on a 180nMHz PentiumPro PC
机译:本文的目的是针对给定的电网系统工作点,负荷需求预测和发电调度,提出一种有效的程序,用于识别与吨鞍型分叉引起的电压崩溃有关的严重单分支停电突发事件。然后,用于电压崩溃的新的功率灵敏度排序算法称为n / MVA灵敏度,它比线性导纳灵敏度提供了更准确的“崩溃距离”内窥镜,但只需要稍多的计算时间。显着特征是(1)能够快速对大型电力系统中的所有分支进行排名,以及(2)准确地调整停电应急分叉值的能力。举例说明,新的Λ/ MVA敏感度排序算法可在3%的相对误差内对3493总线电力系统的所有6689个单分支停电偶发分叉点n(Λ* ctgc)进行估计,误差小于3%,而7%的两个分支在不到4分钟内一台180nMHz的PentiumPro PC

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