A Monitoring and Identification Scheme for Power Quality Assessment

The paper presents an identification scheme for on-line monitoring and identification of power quality and system disturbances caused by nonlinear loads. The wide proliferation of distributed renewable energy and green power sources, and rapid changes in utility load types with drive towards deregulation of the power market require affordable and robust on-line data acquisition and expert identification systems, especially for the utilization grid power systems. The proposed technique allows creating such expert systems with the extensible knowledge base, which can be used for identification of power distortion events created by consumer nonlinear loads.