An FPGA-based power quality monitoring and event identifier

The paper presents a passive FPGA-based identification scheme for on-line monitoring and identification of power quality events and system disturbances caused by various power generation (e.g. wind turbines) and consumption (e.g. nonlinear loads) devices. The wide proliferation of distributed renewable energy and green power sources, and rapid changes in utility load types require affordable and robust on-line data acquisition and expert identification systems. The proposed technique allows creating such systems with the extensible database, which can be used for identification of power distortion events created by power generation or consumption devices. The presented technique assumes that AC or DC power is converted to AC by converters; so, power quality of AC is an important issue.