A novel and fast two-stage right eigenvector based branch outage contingency ranking

被引:0
|
作者
Srivastava, AK [1 ]
Flueck, AJ [1 ]
机构
[1] IIT, Dept Elect & Comp Engn, Chicago, IL 60616 USA
关键词
contingency ranking; continuation method; voltage collapse; branch outage; SECURITY ANALYSIS; VOLTAGE COLLAPSE; NEURAL-NETWORK; SELECTION;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper presents a new technique for contingency screening. Contingency ranking has been done by estimating the post-contingency voltage collapse point (CP), given a power system operating point, a load demand forecast and a generation dispatch. The new algorithm presented in the paper, provides more accurate post-contingency "distance to collapse" estimate. The distinguished features are ability to directly estimate the post-contingency CP, consideration of breaking point and to rank contingencies quickly and accurately. Proposed method has been tested for all 6689 single branch outage of 3493 bus system for two possible particular transfer case. Results obtained from new algorithm were compared with results obtained from full continuation power flow and it shows that proposed algorithm is very robust, efficient, accurate and fast.
引用
收藏
页码:3062 / 3067
页数:6
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