Mixed Step Size Normalized Least Mean Fourth Algorithm of DSTATCOM Integrated Electric Vehicle Charging Station

The growth of electric vehicle loads increases the harmonics in the distribution grid. This article proposes a mixed step size normalized least mean fourth control algorithm (MSSNLMF) of distribution static compensator to alleviate the harmonics in the electric vehicles connected distribution grid....

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Bibliographic Details
Published in:IEEE transactions on industrial informatics 2023-06, Vol.19 (6), p.7583-7591
Main Authors: Balasundar, Chelladurai, Sundarabalan, Chinnayan Karuppaiyah, Santhanam, Srinath Nangavaram, Sharma, Jayant, Guerrero, Josep M.
Format: Article
Language:English
Subjects:
Adaptive algorithms
Adaptive control
Adaptive filters
Bidirectional power flow
Capacitors
Compensators
Control algorithms
Control theory
DC-DC power converters
distribution static compensator
Electric vehicle charging
electric vehicle charging station
Electric vehicles
Energy storage
Filtering algorithms
Harmonic analysis
Harmonic distortion
Lithium-ion batteries
Microprocessors
mixed step size normalized least mean fourth algorithm
Power harmonic filters
Reactive power
Real time
Rechargeable batteries
Signal processing algorithms
total harmonic distortion
Vehicle-to-grid
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Summary:The growth of electric vehicle loads increases the harmonics in the distribution grid. This article proposes a mixed step size normalized least mean fourth control algorithm (MSSNLMF) of distribution static compensator to alleviate the harmonics in the electric vehicles connected distribution grid. The overall system comprises bidirectional ac-dc, dc-dc converters, and distribution static compensator. The bidirectional converters are employed to achieve the vehicle to grid and grid to vehicle operations. A lithium-ion battery is utilized as an electric vehicle energy storage device. An adaptive MSSNLMF control algorithm is proposed to extract active and reactive power signals from the distorted load current to obtain the reference source currents. This algorithm combines the least mean fourth and normalized least mean fourth algorithms with mixed step size. The performance of the control algorithm is evaluated in the MATLAB/Simulink environment. It is experimentally verified through the real time simulation using the dSPACE (DS1202) real-time processor. The proposed MSSNLMF algorithm performs well in the DSTATCOM dc-link voltage regulation and reduction of total harmonic distortion. The source current total harmonic distortion is maintained below the allowable limit of IEEE 519-2014 standard.
ISSN:1551-3203
1941-0050
DOI:10.1109/TII.2022.3211958