Computationally Efficient Predictive Control of Photovoltaic Central NPC Inverter with Constant Switching Frequency

Alexander Dahlmann; Venkata Yaramasu; Samir Kouro; Matias Aguirre

doi:10.1109/SPEC55080.2022.10058462

Computationally Efficient Predictive Control of Photovoltaic Central NPC Inverter with Constant Switching Frequency

Alexander Dahlmann, Venkata Yaramasu, Samir Kouro, Matias Aguirre

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

This paper proposes a computationally efficient modulated model predictive current control method for a three-phase neutral-point clamped (NPC) central inverter in the photovoltaic energy system. The proposed control method calculates the optimal sector number based on grid voltages, grid currents and maximum power point tracking and uses a subset of voltage vectors to reduce the number of calculations significantly, reducing the computational burden. The subset of voltage vectors are used to predict the future behavior of grid currents and DC-link capacitor voltages. A triangular-region based cost function chooses three optimal voltage vectors for a seven-segment switching method. The proposed control method provides low steady-state errors, fast transient response and a constant switching frequency. An 817 kW photovoltaic energy system is simulated to validate the proposed control method under transient and steady-state conditions.

Original language	English (US)
Title of host publication	2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350399882
DOIs	https://doi.org/10.1109/SPEC55080.2022.10058462
State	Published - 2022
Externally published	Yes
Event	7th IEEE Southern Power Electronics Conference, SPEC 2022 - Nadi, Fiji Duration: Dec 5 2022 → Dec 8 2022

Publication series

Name	2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022

Conference

Conference	7th IEEE Southern Power Electronics Conference, SPEC 2022
Country/Territory	Fiji
City	Nadi
Period	12/5/22 → 12/8/22

Keywords

DC/AC power conversion
constant switching frequency
current control
modulated model predictive control
optimal sector

ASJC Scopus subject areas

Computer Networks and Communications
Energy Engineering and Power Technology
Electrical and Electronic Engineering
Safety, Risk, Reliability and Quality

Access to Document

10.1109/SPEC55080.2022.10058462

Cite this

Dahlmann, A., Yaramasu, V., Kouro, S., & Aguirre, M. (2022). Computationally Efficient Predictive Control of Photovoltaic Central NPC Inverter with Constant Switching Frequency. In 2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022 (2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SPEC55080.2022.10058462

Computationally Efficient Predictive Control of Photovoltaic Central NPC Inverter with Constant Switching Frequency. / Dahlmann, Alexander; Yaramasu, Venkata; Kouro, Samir et al.
2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Dahlmann, A, Yaramasu, V, Kouro, S & Aguirre, M 2022, Computationally Efficient Predictive Control of Photovoltaic Central NPC Inverter with Constant Switching Frequency. in 2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022. 2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022, Institute of Electrical and Electronics Engineers Inc., 7th IEEE Southern Power Electronics Conference, SPEC 2022, Nadi, Fiji, 12/5/22. https://doi.org/10.1109/SPEC55080.2022.10058462

Dahlmann A, Yaramasu V, Kouro S, Aguirre M. Computationally Efficient Predictive Control of Photovoltaic Central NPC Inverter with Constant Switching Frequency. In 2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022). doi: 10.1109/SPEC55080.2022.10058462

Dahlmann, Alexander ; Yaramasu, Venkata ; Kouro, Samir et al. / Computationally Efficient Predictive Control of Photovoltaic Central NPC Inverter with Constant Switching Frequency. 2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022).

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abstract = "This paper proposes a computationally efficient modulated model predictive current control method for a three-phase neutral-point clamped (NPC) central inverter in the photovoltaic energy system. The proposed control method calculates the optimal sector number based on grid voltages, grid currents and maximum power point tracking and uses a subset of voltage vectors to reduce the number of calculations significantly, reducing the computational burden. The subset of voltage vectors are used to predict the future behavior of grid currents and DC-link capacitor voltages. A triangular-region based cost function chooses three optimal voltage vectors for a seven-segment switching method. The proposed control method provides low steady-state errors, fast transient response and a constant switching frequency. An 817 kW photovoltaic energy system is simulated to validate the proposed control method under transient and steady-state conditions.",

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N2 - This paper proposes a computationally efficient modulated model predictive current control method for a three-phase neutral-point clamped (NPC) central inverter in the photovoltaic energy system. The proposed control method calculates the optimal sector number based on grid voltages, grid currents and maximum power point tracking and uses a subset of voltage vectors to reduce the number of calculations significantly, reducing the computational burden. The subset of voltage vectors are used to predict the future behavior of grid currents and DC-link capacitor voltages. A triangular-region based cost function chooses three optimal voltage vectors for a seven-segment switching method. The proposed control method provides low steady-state errors, fast transient response and a constant switching frequency. An 817 kW photovoltaic energy system is simulated to validate the proposed control method under transient and steady-state conditions.

AB - This paper proposes a computationally efficient modulated model predictive current control method for a three-phase neutral-point clamped (NPC) central inverter in the photovoltaic energy system. The proposed control method calculates the optimal sector number based on grid voltages, grid currents and maximum power point tracking and uses a subset of voltage vectors to reduce the number of calculations significantly, reducing the computational burden. The subset of voltage vectors are used to predict the future behavior of grid currents and DC-link capacitor voltages. A triangular-region based cost function chooses three optimal voltage vectors for a seven-segment switching method. The proposed control method provides low steady-state errors, fast transient response and a constant switching frequency. An 817 kW photovoltaic energy system is simulated to validate the proposed control method under transient and steady-state conditions.

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Computationally Efficient Predictive Control of Photovoltaic Central NPC Inverter with Constant Switching Frequency

Abstract

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Keywords

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