Title :
Short-time voltage variance detection of micro-grid with direct-drive wind power generation
Author :
Zhou Jian-ping ; Zhu Jian-ping
Author_Institution :
Sch. of Autom. Eng., Shanghai Univ. of Electr. Power, Shanghai, China
fDate :
May 31 2014-June 2 2014
Abstract :
Simulation model of micro-grid including a direct-drive wind power generation, two sets of power-controlled distributed generations (DGs) and a three-phase fault module was investigated in Matlab/simulink. Based on the constructed model, the operating process switched from island mode to grid-connected mode was simulated and the voltage variance signal was detected with Daubechies(Db) wavelet. The simulation results show that the singularity of voltage variance was quickly and accurately detected with db wavelet. The fast and accurate detection of short-circuited fault signal is helpful to improve power quality of micro-grid.
Keywords :
distributed power generation; power generation faults; power grids; power supply quality; short-circuit currents; signal detection; wavelet transforms; wind power plants; Daubechies wavelet; Matlab/simulink; direct-drive wind power generation; grid-connected mode; island mode; microgrid; power quality; power-controlled distributed generations; short-circuited fault signal detection; short-time voltage variance detection; simulation model; three-phase fault module; voltage variance; voltage variance signal; Generators; Load modeling; Mathematical model; Power grids; Voltage fluctuations; Wavelet transforms; Wind power generation; Db wavelet; Micro-grid; voltage variance; wind power generation;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852976
