scholarly journals Abrupt change detection of fault in power system using independent component analysis

Author(s):  
Harish C. Dubey ◽  
Soumya R. Mohanty ◽  
Nand Kishore
2015 ◽  
Vol 119 ◽  
pp. 19-24 ◽  
Author(s):  
Danton D. Ferreira ◽  
Erick A. Nagata ◽  
Silvia C. Ferreira ◽  
José M. de Seixas ◽  
Carlos A. Duque ◽  
...  

2020 ◽  
Vol 48 (6-7) ◽  
pp. 615-627
Author(s):  
José de Jesús Nuño Ayón ◽  
Jorge Luis García Sánchez ◽  
Eduardo Salvador Bañuelos Cabral ◽  
Julián Sotelo Castañón ◽  
María José Rodríguez Roblero

2013 ◽  
Vol 380-384 ◽  
pp. 4088-4093
Author(s):  
Shan Jiang ◽  
Min You Chen ◽  
Hao Lin ◽  
Zhi Sheng Lv ◽  
Ang Fu

In this research, an identification method of harmonic source, based on independent component analysis, was proposed. An unknown harmonic source in the equivalent circuit of power system was regarded as the signal source in the independent component analysis. The known voltage and current of PCC were taken as observed quantities. The independent component analysis and the optimization algorithm were utilized to construct a matrix that could linearly transform voltage and current of PCC into mutually independent signal sources. The harmonic impedance and harmonic source of both the user side and system side were obtained. Then the contribution of users to the harmonic distortion at PCC could be identified. With a good anti-jamming property, this algorithm only needs a condition that variations in the harmonic voltage sources at system side and user side are independent to each other. Simulation results indicated the effectiveness of the method to identify the harmonic source of PCC.


Sign in / Sign up

Export Citation Format

Share Document