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This paper presents an efficient technique for frequency estimation in Electrical Power Systems (EPS) based on Genetic Algorithms (GAs). Frequency estimation of a distorted electrical signal is modeled as an optimization problem. The motivation concerning the use of the GA approach is related to its intrinsic robustness to noise. The GA is implemented in a FPGA (Field-Programmable Gate Array) device...
This paper proposes an accurate and precise genetic algorithm (GA) for frequency estimation of electrical power system (EPS) signals. The problem of estimating the frequency of a distorted electrical signal is modeled as an optimization problem. A regularization technique is used to guide the GA to a plausible solution from a practical point of view when the signal has significant output distortions...
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