Reactive power compensation for grid by Packed-U-Cell inverter using model predictive control strategy with intelligent multi-objective scheme

Issue title: Digital transformation through advances in artificial intelligence and machine learning

Guest editors: Hasmat Malik, Gopal Chaudhary and Smriti Srivastava

Article type: Research Article

Authors: Anees, Mohd. Anas^a | Tariq, Mohd^{a; *} | Lodi, Kaif Ahmed^a | Alam, Mahetab^b | Chakrabortty, Ripon K.^c | Ryan, Michael J.^c

Affiliations: [a] Department of Electrical Engineering, ZHCET, Aligarh Muslim University, Aligarh, India | [b] Department of Electrical Engineering, Indian Institute of Technology Ropar, Ropar, India | [c] Capability Systems Centre, School of Engineering & IT, UNSW Canberra at ADFA, Australia

Correspondence: [*] Corresponding author. Dr. Mohd Tariq, Department of Electrical Engineering, ZHCET, Aligarh Muslim University, Aligarh, India. E-mail: [email protected].

Abstract: This paper proposes a model predictive control strategy for 15 level Packed-U-Cell inverter that satisfies multiple-objectives of low current total harmonic distortion (THD), capacitor voltage balances, supply of desired active and reactive power, as well as lower switching and lower voltage stresses on the switching devices. The proposed device performs well under dynamic conditions and can successfully track the current command during step changes in the power demand. A detailed modeling is presented and discussed. MATLAB/Simulink is used for obtaining the simulation results, and the results are validated in the real time by using a hardware-in-the-loop (HIL) Typhoon 402 real-time emulator.

Keywords: Model predictive control, packed-U-Cell, reactive power compensation, multilevel inverter

DOI: 10.3233/JIFS-189749

Journal: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 2, pp. 793-806, 2022