VSC-Based DSTATCOM for PQ Improvement: A Deep-Learning Approach

• Autorzy: Mangaraj Mrutyunjaya , Sabat Jogeswara , Barisal Ajit Kumar , Ramaiah K. Subba , Rao Gudivada Eswara

Identyfikatory

DOI

10.2478/pead-2022-0013

• Języki publikacji: EN

Abstrakty

EN

With the rapid advancement of the technology, deep learning supported voltage source converter (VSC)-based distributed static compensator (DSTATCOM) for power quality (PQ) improvement has attracted significant interest due to its high accuracy. In this paper, six subnets are structured for the proposed deep learning approach (DL-Approach) algorithm by using its own mathematical equations. Three subnets for active and the other three for reactive weight components are used to extract the fundamental component of the load current. These updated weights are utilised for the generation of the reference source currents for VSC. Hysteresis current controllers (HCCs) are employed in each phase in which generated switching signal patterns need to be carried out from both predicted reference source current and actual source current. As a result, the proposed technique achieves better dynamic performance, less computation burden and better estimation speed. Consequently, the results were obtained for different loading conditions using MATLAB/Simulink software. Finally, the feasibility was effective as per the benchmark of IEEE guidelines in response to harmonics curtailment, power factor (p.f) improvement, load balancing and voltage regulation.

Słowa kluczowe

EN

DL approach; deep learning approach; DSTATCOM; distributed static compensator; ALMS; PQ; power quality

• Wydawca: De Gruyter
• Czasopismo: Power Electronics and Drives
• Rocznik: 2022
• Tom: Vol. 7 (42)
• Strony: 174--186
• Opis fizyczny: Bibliogr. 26 poz., rys., tab.

Twórcy

autor

Mangaraj Mrutyunjaya

• Department of Electrical and Electronics Engineering, Lendi Institute of Engineering and Technology, Vizianagaram, Andhra Pradesh 535005, India

• https://orcid.org/0000-0002-4535-9178

autor

Sabat Jogeswara

• Department of Electrical and Electronics Engineering, Lendi Institute of Engineering and Technology, Vizianagaram, Andhra Pradesh 535005, India

• https://orcid.org/0000-0001-9934-0184

autor

Barisal Ajit Kumar

• Department of Electrical Engineering, Odisha University of Technology and Research, Bhubaneswar, Odisha 751029, India

autor

Ramaiah K. Subba

• Department of Electrical and Electronics Engineering, Lendi Institute of Engineering and Technology, Vizianagaram, Andhra Pradesh 535005, India

autor

Rao Gudivada Eswara

• Department of Electrical and Electronics Engineering, Vignan Institute of Technology and Management, Berhampur,Odisha 761008, India

Bibliografia

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