Abstract
The proliferation of power electronics equipments generates harmonics distortion problem. Harmonics have many effects to the power system grid and the main limitation of harmonics is heating of power system devices. To monitor and mitigate the harmonics, the source location and the level of harmonics should be known. However, harmonic measurements are costly and is not practical to put harmonic measurement in each location in the grid. Hence, harmonic state estimation is needed. The most common method in harmonic state estimation is singular value decomposition (SVD). A time delay of the measurements can affect the SVD performance, therfore,this paper presents a prediction method based on ARX model and modified normalized least mean square to compensate the time delay measurements. The result shows better performance of the proposed method as compared to least mean square.
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