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MPP estimation of PV systems keeping power reserves under fast irradiance changes

MPP estimation of PV systems keeping power reserves under fast irradiance changes
MPP estimation of PV systems keeping power reserves under fast irradiance changes

Maintaining power reserves in a photovoltaic (PV) system, i.e. operating at a curtailed power level, is a promising method towards grid support functions without energy storage. A major challenge in this approach is to monitor the maximum power (i.e. the available headroom) as it changes over time with the irradiance and temperature. This paper presents a new method to estimate the maximum power point (MPP) power and voltage in real-time, designed for very fast irradiance changes. While keeping reserves, the single-diode PV model equations are applied to voltage and current samples to estimate the conditions and maximum power, rather than using potential erroneous irradiance and temperature sensors. This is the first model-based method to guarantee estimation robustness regardless of the irradiance transient. Furthermore, the operating point perturbation is infrequent and limited, resulting in near-perfect MPPT efficiency at zero reserve levels. The effectiveness of the proposed method is validated via simulations in MATLAB/Simulink on a 10 kW PV system assuming noisy measurements.

Active power control, Headroom, Maximum power point (MPP), MPPT, Photovoltaic (PV) system, Reserves, Single-diode model
1944-9925
IEEE
Batzelis, Efstratios I.
2a85086e-e403-443c-81a6-e3b4ee16ae5e
Junyent-Ferre, Adria
84ee1d4a-1915-4dd0-b51a-d07f224acf31
Pal, Bikash C.
c062978e-53eb-4d5d-ace8-746ccafa5fb0
Batzelis, Efstratios I.
2a85086e-e403-443c-81a6-e3b4ee16ae5e
Junyent-Ferre, Adria
84ee1d4a-1915-4dd0-b51a-d07f224acf31
Pal, Bikash C.
c062978e-53eb-4d5d-ace8-746ccafa5fb0

Batzelis, Efstratios I., Junyent-Ferre, Adria and Pal, Bikash C. (2020) MPP estimation of PV systems keeping power reserves under fast irradiance changes. In 2020 IEEE Power and Energy Society General Meeting, PESGM 2020. vol. 2020-August, IEEE.. (doi:10.1109/PESGM41954.2020.9281698).

Record type: Conference or Workshop Item (Paper)

Abstract

Maintaining power reserves in a photovoltaic (PV) system, i.e. operating at a curtailed power level, is a promising method towards grid support functions without energy storage. A major challenge in this approach is to monitor the maximum power (i.e. the available headroom) as it changes over time with the irradiance and temperature. This paper presents a new method to estimate the maximum power point (MPP) power and voltage in real-time, designed for very fast irradiance changes. While keeping reserves, the single-diode PV model equations are applied to voltage and current samples to estimate the conditions and maximum power, rather than using potential erroneous irradiance and temperature sensors. This is the first model-based method to guarantee estimation robustness regardless of the irradiance transient. Furthermore, the operating point perturbation is infrequent and limited, resulting in near-perfect MPPT efficiency at zero reserve levels. The effectiveness of the proposed method is validated via simulations in MATLAB/Simulink on a 10 kW PV system assuming noisy measurements.

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More information

Published date: 2 August 2020
Additional Information: Funding Information: This research was supported by the Royal Academy of Engineering under the Research Fellowship scheme (no. RF\201819\18\86). Publisher Copyright: © 2020 IEEE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
Venue - Dates: 2020 IEEE Power and Energy Society General Meeting, PESGM 2020, , Montreal, Canada, 2020-08-02 - 2020-08-06
Keywords: Active power control, Headroom, Maximum power point (MPP), MPPT, Photovoltaic (PV) system, Reserves, Single-diode model

Identifiers

Local EPrints ID: 449603
URI: http://eprints.soton.ac.uk/id/eprint/449603
ISSN: 1944-9925
PURE UUID: bdd69e34-bbbe-4660-a014-03410f84f914
ORCID for Efstratios I. Batzelis: ORCID iD orcid.org/0000-0002-2967-3677

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Date deposited: 08 Jun 2021 16:33
Last modified: 18 Mar 2024 04:00

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Contributors

Author: Efstratios I. Batzelis ORCID iD
Author: Adria Junyent-Ferre
Author: Bikash C. Pal

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