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Near-optimal MPC algorithm for actively damped grid-connected PWM-VSCs with LCL filters

Near-optimal MPC algorithm for actively damped grid-connected PWM-VSCs with LCL filters
Near-optimal MPC algorithm for actively damped grid-connected PWM-VSCs with LCL filters
This paper proposes and investigates a novel near-optimal finite-control-set model predictive control (NOP-MPC) algorithm to control the grid-connected, pulsewidth-modulator-driven voltage source converters with LCL filters. Exploiting the convex and elliptical paraboloid properties of the cost error, NOP-MPC adopts a systematic iterative algorithm within each control cycle to progressively synthesize finite sets of virtual voltage vectors (VVs) for the control optimization stage. The synthesis has the inherent features of respecting the converter voltage limits and converging the sets of VV candidates toward the global optimal point. The fixed-switching-frequency feature of NOP-MPC is expected to ease the LCL filter design. Effects of computational delay, pulsewidth modulation delay, and deadtime are considered and compensated successfully. A two-vector-variable cost function is used to actively damp the inherent LC resonance through an adjustable, weighting-factor-based damping level. This paper is substantiated by theoretical consideration, simulation and experimental results, parameter sensitivity study, and a comparative study with the standard finite-control-set model predictive control that uses only actual VVs.
Active damping (AD), cost function, finite control set (FCS), model predictive control (MPC), optimal control, proportional-derivative voltage feedback
0278-0046
4578-4589
Lim, Chee Shen
616d0697-a5d5-4079-adaa-6686e5a758fe
Lee, Sze Sing
47f36964-db27-4f5e-a4d3-4b0ba78ce29e
Nutkani, Inam Ullah
f192fbff-209b-403e-b7eb-79d749419ce6
Kong, Xin
6c507809-960a-4d8b-9162-db7dc7e83c4b
Goh, Hui Hwang
ebfacf54-f171-4cca-a64e-e9d9a7d4ae53
Lim, Chee Shen
616d0697-a5d5-4079-adaa-6686e5a758fe
Lee, Sze Sing
47f36964-db27-4f5e-a4d3-4b0ba78ce29e
Nutkani, Inam Ullah
f192fbff-209b-403e-b7eb-79d749419ce6
Kong, Xin
6c507809-960a-4d8b-9162-db7dc7e83c4b
Goh, Hui Hwang
ebfacf54-f171-4cca-a64e-e9d9a7d4ae53

Lim, Chee Shen, Lee, Sze Sing, Nutkani, Inam Ullah, Kong, Xin and Goh, Hui Hwang (2020) Near-optimal MPC algorithm for actively damped grid-connected PWM-VSCs with LCL filters. IEEE Transactions on Industrial Electronics, 67 (6), 4578-4589, [8752270]. (doi:10.1109/TIE.2019.2924872).

Record type: Article

Abstract

This paper proposes and investigates a novel near-optimal finite-control-set model predictive control (NOP-MPC) algorithm to control the grid-connected, pulsewidth-modulator-driven voltage source converters with LCL filters. Exploiting the convex and elliptical paraboloid properties of the cost error, NOP-MPC adopts a systematic iterative algorithm within each control cycle to progressively synthesize finite sets of virtual voltage vectors (VVs) for the control optimization stage. The synthesis has the inherent features of respecting the converter voltage limits and converging the sets of VV candidates toward the global optimal point. The fixed-switching-frequency feature of NOP-MPC is expected to ease the LCL filter design. Effects of computational delay, pulsewidth modulation delay, and deadtime are considered and compensated successfully. A two-vector-variable cost function is used to actively damp the inherent LC resonance through an adjustable, weighting-factor-based damping level. This paper is substantiated by theoretical consideration, simulation and experimental results, parameter sensitivity study, and a comparative study with the standard finite-control-set model predictive control that uses only actual VVs.

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More information

Accepted/In Press date: 30 May 2019
e-pub ahead of print date: 1 July 2019
Published date: June 2020
Keywords: Active damping (AD), cost function, finite control set (FCS), model predictive control (MPC), optimal control, proportional-derivative voltage feedback

Identifiers

Local EPrints ID: 443528
URI: http://eprints.soton.ac.uk/id/eprint/443528
ISSN: 0278-0046
PURE UUID: 83047065-0c02-4dd9-b4e4-dbbfe1fa4c03
ORCID for Sze Sing Lee: ORCID iD orcid.org/0000-0003-2455-5783

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Date deposited: 28 Aug 2020 16:30
Last modified: 09 Oct 2020 16:34

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Contributors

Author: Chee Shen Lim
Author: Sze Sing Lee ORCID iD
Author: Inam Ullah Nutkani
Author: Xin Kong
Author: Hui Hwang Goh

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