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Special Issue Article Open Access
This paper deals with the design and simulation of the performance of synchronous reference frame (SRF) and neural network controlled DSTATCOM along with a zig-zag transformer, implemented on a three phase four wire distribution system as a solution for power quality issues. First part of the paper deals with the design and simulation of SRF controlled DSTATCOM based on three-leg and four-leg VSC topology and performance of both is evaluated and compared. Second part deals with the design and simulation of Neural-Network controlled DSTATCOM based on three leg VSC topology. Then the performance of DSTATCOM using both SRF and Neural Network will be compared. For the three-leg voltage-source- converter (VSC) based DSTATCOM configuration a zig-zag transformer is used for neutral current compensation at the PCC. SRF strategy generates unit vectors from the grid voltage and operates a voltage source inverter. It uses co-ordinate transformations to generate the current reference. Whereas in ANN strategy the Adaline-based current decomposer estimates the reference currents through tracking of unit vectors together with tuning of the weights. The performance of the proposed DSTATCOM system is validated through simulations using MATLAB software with its Simulink and Power System Block set toolboxes.