A Multiple Frequency Taylor Model-Based Dynamic Synchrophasor Estimation Algorithm

Abstract

To enhance the accuracy of phasor estimation under dynamic conditions, the fundamental phasor of the power signal is expressed by a multiple frequency Taylor model (MFTM) with several sub-phasors expanded by the Taylor series. The MFTM is employed to depict the dynamic characteristic of voltage/current signals. Besides, an MFTM-based dynamic synchrophasor estimation algorithm was proposed to achieve an accurate estimation under dynamic conditions as per IEEE C37.118.1. First, based on the Taylor series, a fundamental phasor is comprised of sub-phasors with several Hz away from fundamental one. Second, decoupling coefficient matrix calculated offline is generated according to the MFTM. Then, accurate phasors are reassigned from the result of discrete Fourier transform (DFT) according to decoupling coefficient. Finally, a phase shift operation is used to shift the phasor estimations to the report time. Simulation and field data test results demonstrate that the accuracy of the proposed algorithm is improved compared to our previous work from 0.98% to 0.04% of maximum total vector error under the dynamic modulations at the cost of an acceptable increment of computational burden.