SRF isolator extracts the dc component by low pass filters (LPF) for each id and iq realized by moving averager at 100Hz. The extracted DC components iddc and iqdc are transformed back into a-P frame as shown below:
Performance Analysis-10

From here the transformation can be made to obtain three phase reference currents in a-b-c coordinates using Reverse Park’s transformation and Clark’s transformation. The reactive power compensation can also be provided by keeping iq component zero for calculating reference currents.

Disadvantages of SRF theory:

• The generation of voltage templates (sin and cosine terms is crucial)
• PLL (phase locked loop) is used generation of templates. The operation of PLL is slow and also imposes some of amount of delay in computation
• Effect of delay due to LPF used for filtering signals in d- q frame
• Mathematical computations are more and not suitable for 3-phase 4-wire system.

C. Adaline based control algorithm

ADALINE (Adaptive Linear Element) is a single layer neural network. It was developed by Professor Bernard Widrow and his graduate student Ted

Hoff at Stanford University in 1960. It is based on the McCulloch-Pitts neuron. It consists of a weight, a bias and a summation function.

The basic theory of the proposed decomposer has been based on Least Mean Square (LMS) algorithm and its training through Adaline, which tracks the unit vector templates to maintain minimum error. The block diagram of Adaline based control algorithm is given in Fig 4.. The basic concept of theory used here can be understood by considering the analysis in single-phase system which is given as under

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