Research on Harmonic Traceability Method Based on Robust H∞ Filtering
In response to the challenges posed by the large-scale integration of new energy sources,which makes it difficult to obtain accurate harmonic models and noise information,as well as thepropensity of conventional algorithms to generate misjudgments in the presence of data anomalies,thispaper proposes a harmonic state estimation algorithm for power systems based on the H∞ filteringmethod(H∞ filter).Leveraging the H∞ filter's characteristics of low model precision and noiseinformation requirements,a customized H∞ filter is designed to maintain estimation accuracy inconditions where noise in power system measurements is challenging to characterize.Furthermore,thesuperior robustness of the H∞ filter is utilized to ensure the accuracy of harmonic state estimationin the presence of abnormal data,thereby achieving error-free judgments.Simulations conducted on the IEEE 14-bus system indicate that the proposed method,compared to traditional Kalman filtering methods,enhances the precision of harmonic state estimation under conditions of challenging noise determinationand interference from abnormal data.
dynamic harmonic state estimationH∞ filterrobustness
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