Optimal adaptive detecting of current components

SUMMARY OPTIMAL ADAPTIVE DETECTING OF CURRENT COMPONENTS Keywords: Power Systems, Current Measurement, Adaptive Filters, Optimal Filter Design, Adaptive Notch Filter In this thesis, digital adaptive measurment algoritm is proposed to decompose the current components in power systems. Evaluating of a stable digital algorithm which have fast response properties continuously following component of changing current is designed. In addition, since the base of evaluated digital measurement is happened by a digital adaptive filter. The most important subject of this thesis is the basis of adaptive filter design. Attaining the desired amplitude and frequency response in fixed filtres, at the grade design of filter coefficients, it is possible to calculate the using one of the known methods at the design of fixed filter. Because the signal realized filter process is assumed not to show the different characteristic with time at the filtered af a dynamic signal, it is known to lack of fixed filter. This infirmitiy of fixed filters are solved to adaptive filters. At the design of evaluated measurement algorithm, since being instable of current wanting to measure is forseen, the configuration of measurement algoritm is designed as an adaptive filter in the obtaining adaptive filter, since damped component of current is choosen as noisy signal, needed filter coefficients are acquiered to minimize obtained error value due to compared with referance signal of filter. Calculating of optimal values of optained filter coefficient is realised using least mean squared algorithm. At the last chapter of this, improved "digital adaptive measurement filter" is worked by using MATLAB software programme. Since this algorithm is designed as "digital filter" this computer software application can be also assumed equal to as hardware application xv