DocumentCode :
3470883
Title :
A long term dynamic simulation method of power system based on variables grouping and seceding grouping strategy
Author :
Chang, Yongji ; Yu, Jilai
Author_Institution :
Dept. of Electr. Eng., Harbin Inst. of Technol., Harbin
fYear :
2008
fDate :
6-9 April 2008
Firstpage :
1077
Lastpage :
1081
Abstract :
A set of differential and algebraic equations is stiff in the long term dynamic simulation analysis for power system, which remains very computationally intensive, and decreases computational efficiency. According to space-time local characteristic of stiffness, this paper presents a long term dynamic simulation method based on strategies of integration variables grouping and integration variables seceding grouping orderly. On the one hand, this method makes the whole system divided into fast group and slow group adaptively depending on local truncation error (LTE), and each group is solved with different step size by adjusting relative step factor and minimal integral step size automatically. On the other hand, different variables are treated differently in different period of time. That is, one part of fast variables may secede grouping and integration operation automatically after attaining their decay time, and the shortcoming, which is to judge the grouping of variables by making use of LTE at every large step integration point, may be overcame. Thus numbers of variables participating in grouping and integration operation will be reduced gradually, and the computational efficiency is enhanced. Tests results show that this method assures numerical value stability effectively and adapt to solving stiff differential and algebraic equations in the long term dynamic simulation of power system.
Keywords :
differential equations; power system simulation; algebraic equations; differential equations; local truncation error; long term dynamic power system simulation; seceding grouping strategy; variables grouping; Analytical models; Computational efficiency; Computational modeling; Differential algebraic equations; Finite wordlength effects; Power system analysis computing; Power system dynamics; Power system simulation; Power system stability; System testing; Long term dynamic simulation; Power systems; Variables grouping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
Conference_Location :
Nanjuing
Print_ISBN :
978-7-900714-13-8
Electronic_ISBN :
978-7-900714-13-8
Type :
conf
DOI :
10.1109/DRPT.2008.4523567
Filename :
4523567
Link To Document :
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