استفاده از روش ژنتيك براي پيش بيني سيگنال ها در زمان آينده

Using genetic algorithm for prediction of signals in future times

The performance of static VAr compensator (SVC) for flicker mitigation can be improved with prediction of reactive power for half cycle ahead. For this purpose it is necessary to obtain the coefficients of prediction equation to minimize prediction error. The proper performance had been achieved for most cases with offline calculating of these coefficients. But for example the frequency of arc furnace reactive power variation is not constant due to the nature of load and system condition. In this paper an adaptive genetic algorithm for online calculation of prediction coefficients is suggested. The performance of new algorithm has been proved with using it in prediction of different built up signals and also applying it in the SVC control system of Khuzestan steel plant. The real arc furnace system has been simulated with PSCAD/EMTDC software and the online genetic algorithm is written as MATLAB function that is linked to main system.