A method to extract unique features from measured waveforms of nonlinear loads is presented. These features can be used for the identification of loads connected to the grid. The method is based on the currents' physical components (CPC) electric power transport theory combined with the Z-transform (for implementation using digital signal processing (DSP). A set of admittance-based Z-transform functions that reflect the current physical components suggested by the CPC is constructed. The resulting transfer functions are shown to reflect the electric physical significance, and are used for electric load and machine identification through its electric characteristics. In this paper, the Z-transform analytic expressions are developed and extended along with their physical comprehension. Moreover, the strength of the theory over more traditional spectral analysis is explained.
The method presented in this paper is demonstrated and analyzed using real-world measured waveforms (measured by power quality monitors).
Index Terms-Load identification, power transfer theory, smart grid.1551-3203 worked with R&D for the Israel Air-Force (IAF), where he developed power processing topologies for avionic systems. During 1997-1999, he was a Post-Doctorate Fellow with New York Polytechnic University, Brooklyn, NY, USA. Since 2000, he has been with the Faculty of Engineering, Tel-Aviv University, where he heads the Power Electronics and Power Quality Research Group. He has authored and coauthored over 100 papers, of which over 40 are in refereed journals. His research interests include general circuit theory, switched-mode converters, power quality, special applications of power electronics (such as for alternative energy sources) powering of autonomous sensor networks, and implanted medical devices.