TY - JOUR
AU - Mangaraj, Mrutyunjaya
AB - In this article, a neural network (NN)-based control strategy is utilized for the voltage source inverter (VSI) and combined with an appropriate transformer to enhance the shunt compensation capability and improve the reliable operation. The transformer-interfaced VSI (T-I-VSI)-based distributed static compensator (DSTATCOM) exhibits unique advantages, such as boost capability (secondary of transformer is star connected), reduced voltage stress, and simple circuit operation to produce distortion-free sinusoidal current waveform. An efficient approach is for improving active power filtering like increase in reactive power compensation capability, harmonic reduction, power factor (p.f) improvement, voltage balancing, and better voltage regulation in three-phase electrical distribution system using T-I-VSI-based adaptive least mean square NN algorithms. Finally, the strength and effectiveness of the T-I-VSI is verified by using MATLAB/Simulink software and also, experimental investigation using hardware setup and SPARTAN-6 field-programmable gate arrays controller. The power quality issues mitigation comparisons are also performed considering the standard value of the IEEE-2030-7-2017 and IEC- 61000-1 grid code.
TI - Experimental Study of T-I-VSI-Based DSTATCOM Using ALMS Technique for PQ Analysis
JF - Journal of The Institution of Engineers (India):Series B
DO - 10.1007/s40031-022-00812-9
DA - 2023-02-01
UR - https://www.deepdyve.com/lp/springer-journals/experimental-study-of-t-i-vsi-based-dstatcom-using-alms-technique-for-NJMAYdPPC0
SP - 165
EP - 174
VL - 104
IS - 1
DP - DeepDyve
ER -