Title :
A novel universal grid voltage sag detection algorithm
Author :
Zaiming Fan ; Xiongwei Liu
Author_Institution :
Sch. of Comput., Eng. & Phys. Sci., Univ. of Central Lancashire, Preston, UK
Abstract :
Low voltage rid through (LVRT) requires a wind turbine controller to be able to provide rapid response to any power grid voltage sag, which in turn demands a rapid and accurate detection technique of power grid voltage sag. Different voltage sag detection methods have been proposed, such as peak voltage detection, root mean square (RMS) detection, Fourier Transform, conventional DQ transform and its modified versions, such as matrix method and αβ transform. Peak voltage detection and RMS method demand at least half a cycle for the voltage sag depth information to become available, and for a three-phase power grid, they need three separate modules for the three-phase grid voltage sag detection, which is undesirable. Fourier transform can return accurate steady-state voltage information of the supply phases, however it can take up to one cycle for the voltage sag depth information to be measured accurately. Conventional DQ transform is only suitable for three-phase symmetrical voltage sag, and its modified versions are generally too complex and slow. This paper proposes a novel DQ transform solution for fast and accurate detection of any single phase, two-phase or three-phase symmetrical and asymmetrical voltage sag. This novel DQ transform algorithm is simpler and more universal than other techniques proposed by other researchers and/or used in the industry.
Keywords :
Fourier transforms; mean square error methods; power grids; power supply quality; signal detection; wind turbines; DQ transform algorithm; Fourier transform; LVRT; RMS method; low voltage rid through; root mean square detection; single phase asymmetrical voltage sag; single phase symmetrical voltage sag; three-phase asymmetrical voltage sag; three-phase power grid; three-phase symmetrical voltage sag; two-phase asymmetrical voltage sag; two-phase symmetrical voltage sag; universal power grid voltage sag detection algorithm; wind turbine controller; Educational institutions; Fourier transforms; Power grids; Voltage control; Voltage fluctuations; Voltage measurement; voltage sag; voltage sag detection;
Conference_Titel :
Power Engineering and Automation Conference (PEAM), 2012 IEEE
Conference_Location :
Wuhan
Print_ISBN :
978-1-4577-1599-0
DOI :
10.1109/PEAM.2012.6612532