Hybridization Framework for Improved Dynamic Phasor Parameter Estimation Algorithms
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abstract
2019 IEEE. With an increasingly wider application of Phasor Measurement Units (PMUs), the accuracy of phasor parameter estimation has become one of the major concerns in related research. The accuracy of phasor parameter estimation is closely associated with the accuracy of waveform model representation. The most commonly used waveform models in literature are Fourier models, and Taylor polynomial models, which are the backbones of frequency-domain and time-domain phasor estimation approaches, respectively. Usually, neither solution alone is capable of producing satisfactory results, despite various improvement strategies. This paper proposes a novel method for hybridization of existing Fourier and polynomial fitting-based estimation methods. The framework is introduced so that the merits from multiple algorithms can be leveraged without designing a completely new algorithm. Fourier method and Taylor expansion method are selected to demonstrate this approach. Both theoretical derivation and simulation results show that the proposed framework effectively integrates the benefits from both algorithms to achieve sufficient accuracy.
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2019 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)
