DocumentCode :
1777948
Title :
Research on power system self-adaptive islanding based on real-time measured data
Author :
Wang Cheng-gen ; Zhou Qian ; Niu Li-tao ; An Hai-yun ; Chen Jing
Author_Institution :
Jiangsu Electr. Power Co. Res. Inst., Nanjing, China
fYear :
2014
fDate :
20-22 Oct. 2014
Firstpage :
938
Lastpage :
942
Abstract :
It is possible to prevent collapse of the whole post-fault power system, which is in unstable condition, by islanding control method to calm down system oscillation. Finding out the out-of-step modes is the key step of islanding control. A fast out-of-step detection method based on real-time measured data is presented in this paper. In this paper, the voltage phase angle of each branch and the active power through each branch is measured. Then, the out-of-step mode is determined when the out-of-step branch forms a cut-set. Finally, the islanding boundary is found based on the out-of-step mode and proper islanding boundary searching method. The method presented can be easily carried out and the result is found real-time. Simulation on IEEE 118-bus power system shows that the proposed method is effective.
Keywords :
distributed power generation; power distribution faults; search problems; IEEE 118-bus power system; active power; islanding boundary searching method; islanding control method; out-of-step detection method; post-fault power system; real-time measured data; self-adaptive islanding; voltage phase angle; Generators; Islanding; Potential energy; Power system stability; Transient analysis; Cut-set; islanding boundary; out-of-step modes; self-adaptive islanding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power System Technology (POWERCON), 2014 International Conference on
Conference_Location :
Chengdu
Type :
conf
DOI :
10.1109/POWERCON.2014.6993917
Filename :
6993917
Link To Document :
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