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Power reserves control for PV systems with real-time MPP estimation via curve fitting

Power reserves control for PV systems with real-time MPP estimation via curve fitting
Power reserves control for PV systems with real-time MPP estimation via curve fitting

In order for a photovoltaic (PV) system to provide a full range of ancillary services to the gird, including frequency response, it has to maintain active power reserves. In this paper, a new control scheme for the dc/dc converter of a two-stage PV system is introduced, which permits operation at a reduced power level, estimating the available power (maximum power point - MPP) at the same time. This control scheme is capable of regulating the output power to any given reference, from near-zero to 100% of the available power. The proposed MPP estimation algorithm applies curve fitting on voltage and current measurements obtained during operation to determine the MPP in real time. This is the first method in the literature to use the nonsimplified single-diode model for the determination of the MPP and the five model parameters while operating at a curtailed power level. The developed estimation technique exhibits very good accuracy and robustness in the presence of noise and rapidly changing environmental conditions. The effectiveness of the control scheme is validated through simulation and experimental tests using a 2-kW PV array and a dc/dc converter prototype at constant and varying irradiance conditions.

Active power control, curve fitting, linearized converter model, maximum power point tracking (MPPT), photovoltaic (PV), power reserves, single-diode model
1949-3029
1269-1280
Batzelis, Efstratios I.
2a85086e-e403-443c-81a6-e3b4ee16ae5e
Kampitsis, Georgios E.
4bba7bcf-6422-4bf9-8996-528e7da1984e
Papathanassiou, Stavros A.
49cbcb43-649a-47c2-b294-9bc4d88898b9
Batzelis, Efstratios I.
2a85086e-e403-443c-81a6-e3b4ee16ae5e
Kampitsis, Georgios E.
4bba7bcf-6422-4bf9-8996-528e7da1984e
Papathanassiou, Stavros A.
49cbcb43-649a-47c2-b294-9bc4d88898b9

Batzelis, Efstratios I., Kampitsis, Georgios E. and Papathanassiou, Stavros A. (2017) Power reserves control for PV systems with real-time MPP estimation via curve fitting. IEEE Transactions on Sustainable Energy, 8 (3), 1269-1280, [7864452]. (doi:10.1109/TSTE.2017.2674693).

Record type: Article

Abstract

In order for a photovoltaic (PV) system to provide a full range of ancillary services to the gird, including frequency response, it has to maintain active power reserves. In this paper, a new control scheme for the dc/dc converter of a two-stage PV system is introduced, which permits operation at a reduced power level, estimating the available power (maximum power point - MPP) at the same time. This control scheme is capable of regulating the output power to any given reference, from near-zero to 100% of the available power. The proposed MPP estimation algorithm applies curve fitting on voltage and current measurements obtained during operation to determine the MPP in real time. This is the first method in the literature to use the nonsimplified single-diode model for the determination of the MPP and the five model parameters while operating at a curtailed power level. The developed estimation technique exhibits very good accuracy and robustness in the presence of noise and rapidly changing environmental conditions. The effectiveness of the control scheme is validated through simulation and experimental tests using a 2-kW PV array and a dc/dc converter prototype at constant and varying irradiance conditions.

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More information

Published date: July 2017
Additional Information: Publisher Copyright: © 2017 IEEE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.
Keywords: Active power control, curve fitting, linearized converter model, maximum power point tracking (MPPT), photovoltaic (PV), power reserves, single-diode model

Identifiers

Local EPrints ID: 449671
URI: http://eprints.soton.ac.uk/id/eprint/449671
ISSN: 1949-3029
PURE UUID: cf003926-45fd-4145-a774-4410e61fe1b2

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Date deposited: 10 Jun 2021 16:31
Last modified: 10 Jun 2021 16:31

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Contributors

Author: Efstratios I. Batzelis
Author: Georgios E. Kampitsis
Author: Stavros A. Papathanassiou

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