Research on the Fluctuation Mechanism of Electric Arc Furnace Voltage Using Chaos Theory

被引:0
作者
Wang, Yufei [1 ]
Zhang, Jianyun [1 ]
Xue, Hua [1 ]
机构
[1] Shanghai Univ Elect Power, Coll Elect Engn, Shanghai, Peoples R China
来源
2014 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (IEEE PES APPEEC) | 2014年
基金
美国国家科学基金会;
关键词
Chaotic property; electric arc furnace (EAF); maximum Lyapunov exponent (MLE); phase space reconstruction; voltage fluctuation;
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
The wide application of electric arc furnace (EAF) loads usually cause negative effects in the grid, especially drastic voltage fluctuation. Chaos theory is used to study ac EAF voltage fluctuation mechanism in this paper. Firstly, C-C method is adopted to reconstruct phase space of voltage time series. According to BDS(named after Brock, Dechert, and Scheinkman) statistics, the optimal delay time and embedding dimension are determined. Then, trajectory divergence rates in the phase space are calculated by improved Wolf algorithm as nearest points evolve along the trajectory. By fitting these divergence rates through least square method, the maximum Lyapunov exponent (MLE) is obtained. Results show that the voltage fluctuation of ac EAF has chaotic property, which lays the foundation for analysis and prediction of voltage fluctuation using chaotic method.
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页数:5
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