DocumentCode
1776832
Title
An islanding surface searching approach based on Floyd-warshall and DFS algorithm
Author
Liao Qingfen ; Wang Yifei ; Tang Fei ; Yang Jian ; Liu Yu
Author_Institution
Dept. Of Electr. Eng., Wuhan Univ., Wuhan, China
fYear
2014
fDate
18-20 June 2014
Firstpage
84
Lastpage
87
Abstract
Reasonable islanding strategy is significant for avoiding blackout when the power system suffers from major fault. On the basis of this, this paper analyzes the electrical connection between nodes and proposes a new method of islanding strategy searching based on Floyd-warshall and DFS algorithm. By comparing the degree of electrical coupling relationship between load nodes and generator groups, the problem of islanding strategy searching can be mapped to the partition of the shared nodes. Afterwards, the shared nodes can be divided into proper island by further search which takes the minimum unbalanced power in each island after islanding as the objective function. After the above steps, the optimal islanding strategy can be obtained. The proposed method owns the advantage of low computation complexity and high fitness of operational modes. The effectiveness and rapidity are demonstrated through case studies on IEEE-39 test system and IEEE-118 test system.
Keywords
distributed power generation; electric connectors; power distribution faults; tree searching; DFS algorithm; Floyd-warshall algorithm; IEEE-118 test system; IEEE-39 test system; electrical connection; electrical coupling relationship; generator group; islanding surface searching approach; load node; operational modes; optimal islanding strategy; Educational institutions; Generators; Islanding; Linear programming; Power system stability; Search problems; electrical connection; islanding strategy; minimum unbalance power; optimal islanding surface;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), 2014 International Symposium on
Conference_Location
Ischia
Type
conf
DOI
10.1109/SPEEDAM.2014.6872117
Filename
6872117
Link To Document