| As we all know, people in many countries are confronted with energy crisiswhich together with the increase of oil prices and environmental concerns havetriggered the appearance of new energy resources and devices. Wind energy is likelyto be a very promising alternative for power generation due to its economic andenvironmental benefits. And plug-in electric vehicles provide people a more flexibleand environmentally friendly way to move compared to the conventional vehicles.Plug-in electric vehicle (PEV) battery chargers and wind turbines (WTs) canpose harmonic problems for utilities, despite their environmental and economicadvantages. In this paper, decoupled harmonic power flow-based program isdeveloped to analyze the harmonic impact due to PEVs and WTs. Our numericalresults confirm the well-known fact that power concentrated PEV chargers and WTswill cause excessive harmonic distortion problems if no harmonic filters wereinstalled. With the help of harmonic distortion level and frequency scan, resonanceproblem can be early detected. A sensitivity factor is proposed to locate the harmonicsources and illustrated on the IEEE123test case. It is verified that the buses with highsensitivity factors cause large harmonic distortions.With the increase of harmonic sources in the network, suppression of harmonicsplays a more important role. The rules of pollution-control need the evaluation ofharmonic impact of utilities and customers. In this paper a two-stage method forharmonic source identification is proposed. Genetic Algorithm (GA) providesoptimized parameters for Support Vector Machine (SVM) models. And SVM modelsfor classification of each bus is built., Harmonic power flow is run to verify thecorrectness of classification results. This method is applied to IEEE13-bus test case,the accuracy of this method reaches up to97.0874%. |
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