DocumentCode :
2232627
Title :
The validation of power system dynamic simulation with genetic algorithm
Author :
Xiaoyan, Qiao ; Yunpeng, Feng
Author_Institution :
Sch. of Hydropower, Hebei Univ. of Eng., Handan, China
Volume :
3
fYear :
2010
fDate :
20-22 Aug. 2010
Abstract :
This paper studies the validation of power system dynamic simulation, and the method of correcting parameters. Based on acquiring the static and dynamic data, from the angle of load model, the simulation accuracy with some uncertain model parameters is analyzed, and the uncertain parameters are corrected using the post-fault dynamic data contrarily. According to the characteristics of parameter correction and transient calculation, this paper chooses genetic algorithm with strong global search ability. Finally the simulation in IEEE-39 system is completed in this paper. The load proportion is chosen as the inaccurate parameters, and the simulation of correcting two load proportions is done accordingly. Good results are achieved.
Keywords :
genetic algorithms; power system simulation; power system stability; IEEE-39 system; genetic algorithm; global search ability; load model; load proportion; parameter correction; post-fault dynamic data; power system dynamic simulation; transient calculation; Load modeling; genetic algorithm; load model; model validation; power system dynamics simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
ISSN :
2154-7491
Print_ISBN :
978-1-4244-6539-2
Type :
conf
DOI :
10.1109/ICACTE.2010.5579721
Filename :
5579721
Link To Document :
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