Abstract
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.
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Abbreviations
- \({i}_{\mathrm{aa}}, {i}_{\mathrm{ab}}, {i}_{\mathrm{ac}}\) :
-
Active component of each phase
- ALMS:
-
Adaptive least mean square
- \({i}_{\mathrm{sa},}{i}_{\mathrm{sb}},{i}_{\mathrm{sc}}\) :
-
Actual source currents
- \({w}_{\mathrm{pa}},{w}_{\mathrm{pb}},{w}_{\mathrm{pc}}\) :
-
Active updated weight of load current
- \({v}_{\mathrm{te}}\) :
-
AC voltage error
- \({i}_{\mathrm{ca}}\) , \({i}_{\mathrm{cb}}\) , \({i}_{\mathrm{cc}}\) :
-
Compensating currents
- \({v}_{\mathrm{dc}}\) :
-
DC link voltage
- DSTATCOM:
-
Distribution static compensator
- \({v}_{\mathrm{de}}\) :
-
DC voltage error
- EDS:
-
Electrical distribution system
- FPGA:
-
Field-programmable gate array
- \({w}_{\mathrm{qa}},{w}_{\mathrm{qb}},{w}_{\mathrm{qc}}\) :
-
Fundamental reactive component of load current
- IGBT:
-
Insulated gate bipolar transistor
- \({u}_{\mathrm{pa}}, {u}_{\mathrm{pb}}, {u}_{\mathrm{pc}}\) :
-
In-phase unit voltage templates
- \({i}_{\mathrm{la}}\) , \({i}_{\mathrm{lb}}\) , \({i}_{\mathrm{lc}}\) :
-
Load currents
- \({w}_{\mathrm{p}}\) :
-
Mean value of the active weighting values
- \({w}_{\mathrm{q}}\) :
-
Mean value of the reactive weighting values
- NN:
-
Neural network
- PCC:
-
Point of common coupling
- p.f:
-
Power factor
- PQ:
-
Power quality
- PI:
-
Proportional–integral
- \({u}_{\mathrm{qa}}, {u}_{\mathrm{qb}}, {u}_{\mathrm{qc}}\) :
-
Quadrature unit voltage templates
- \({i}_{\mathrm{sa}}^{*}, {i}_{\mathrm{sb}}^{*}, {i}_{\mathrm{sc}}^{*}\) :
-
Reference source currents
- \({v}_{\mathrm{t} (\mathrm{ref})}\) :
-
Reference AC voltage
- THD:
-
Total harmonic distortion
- T-I-VSI:
-
Transformer-interfaced VSI
- VSI:
-
Voltage source inverter
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Acknowledgements
The authors would like to acknowledge the support provided by Science and Engineering Research Board (SERB-DST), Govt. of India, under SRG (Sanction No. SERB/F/8504/2019-2020).
Funding
This research received funding support from Science and Engineering Research Board (SERB-DST), Govt. of India, under SRG (Sanction No. SERB/F/8504/2019-2020).
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Sabat, J., Mangaraj, M. Experimental Study of T-I-VSI-Based DSTATCOM Using ALMS Technique for PQ Analysis. J. Inst. Eng. India Ser. B 104, 165–174 (2023). https://doi.org/10.1007/s40031-022-00812-9
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DOI: https://doi.org/10.1007/s40031-022-00812-9