Optimal estimation of harmonic in power systems using BFO-MISGFF hybrid algorithm

In this paper, an integration of Multi-Innovation Stochastic Gradient (MISGFF) algorithm in combination with Bacterial Foraging Optimization algorithm (BFO) are used for the first time to estimate the amplitude and phase of a power system signal. First, initial value of the parameters in MISGFF algorithm is obtained by off-line method (namely BFO algorithm) using little information. Then, MISGFF algorithm is used on-line. In the proposed hybrid method, amplitude and phase are estimated simultaneously. Also, in the proposed method, the convergence speed to the actual value is faster, the performance is better and the accuracy is higher for a noisy system in comparison with Recursive Least-Square (RLS) method.

کلیدواژه ها:

component ، MISGFF ، RLSFF ، BFO ، Harmonic estimation