Evolutionary Computation Techniques Applied to Phasor Measurement Unit Design

This paper presents a performance comparison of methodologies for phasor estimation in power systems. An intelligent tool, the Genetic Algorithm, with a variation that uses less computing effort, the compact Genetic Algorithm, was compared to two traditional methods: the Discrete Fourier Transform and the Phase Locked-Loop filter. The mentioned methodologies were programed in C++ language. A comparison with traditional methods was made based on the IEEE C37.118 standard and results show that this intelligent tool presents a better performance, especially during transient events.

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