Grid-Forming Control for Solar PV Systems with Real-Time MPP Estimation
Grid-Forming Control for Solar PV Systems with Real-Time MPP Estimation
Grid-forming control (GFC) for photovoltaic (PV) systems is seen lately as a promising solution for enhanced grid support and improved power system stability. However, various factors, such as the non-monotonic nature of the power-voltage (P-V) characteristic and the maximum power point (MPP) estimation accuracy, affect the controller performance and reliability. This paper presents a GFC scheme with real-time MPP estimation that overcomes these challenges. The adopted model-based MPP estimation algorithm performs most satisfactorily, even during fast irradiance changes. The proposed control scheme considers the converter power losses when translating the available reserves from the PV side to the grid side, usually neglected in the literature. Furthermore, the GFC method is designed in such a way that it can afford reasonable MPP miscalculations with no stability issues, resulting in guaranteed reliable operation. Simulations in Matlab/Simulink on a modified WSCC 9-bus test system at load and irradiance disturbances validate the favorable operation of the proposed method.
Ancillary services, grid support, grid-forming control, MPP estimation, MPPT, power reserves, renewables integration, solar PV
Pawar, Bandopant
8f13fd75-3145-477f-a62f-2f6d684f1b01
Chakrabarti, Saikat
f359566a-5ebd-4842-984f-89b466abc8b2
Batzelis, Efstratios I.
2a85086e-e403-443c-81a6-e3b4ee16ae5e
Pal, Bikash C.
c062978e-53eb-4d5d-ace8-746ccafa5fb0
21 July 2021
Pawar, Bandopant
8f13fd75-3145-477f-a62f-2f6d684f1b01
Chakrabarti, Saikat
f359566a-5ebd-4842-984f-89b466abc8b2
Batzelis, Efstratios I.
2a85086e-e403-443c-81a6-e3b4ee16ae5e
Pal, Bikash C.
c062978e-53eb-4d5d-ace8-746ccafa5fb0
Pawar, Bandopant, Chakrabarti, Saikat, Batzelis, Efstratios I. and Pal, Bikash C.
(2021)
Grid-Forming Control for Solar PV Systems with Real-Time MPP Estimation.
In 2021 IEEE Power and Energy Society General Meeting, PESGM 2021.
vol. 2021-July,
IEEE Computer Society..
(doi:10.1109/PESGM46819.2021.9638020).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Grid-forming control (GFC) for photovoltaic (PV) systems is seen lately as a promising solution for enhanced grid support and improved power system stability. However, various factors, such as the non-monotonic nature of the power-voltage (P-V) characteristic and the maximum power point (MPP) estimation accuracy, affect the controller performance and reliability. This paper presents a GFC scheme with real-time MPP estimation that overcomes these challenges. The adopted model-based MPP estimation algorithm performs most satisfactorily, even during fast irradiance changes. The proposed control scheme considers the converter power losses when translating the available reserves from the PV side to the grid side, usually neglected in the literature. Furthermore, the GFC method is designed in such a way that it can afford reasonable MPP miscalculations with no stability issues, resulting in guaranteed reliable operation. Simulations in Matlab/Simulink on a modified WSCC 9-bus test system at load and irradiance disturbances validate the favorable operation of the proposed method.
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Published date: 21 July 2021
Additional Information:
Funding Information:
This work was supported in part by the Department of Science and Technology, Government of India, under the grant DSTIEE/2017092 at Indian Institute of Technology Kanpur and UKSRC and the Royal Academy of Engineering under the Engineering for Development Research Fellowship scheme (no. RF\201819\18\86).
Publisher Copyright:
© 2021 IEEE.
Copyright:
Copyright 2022 Elsevier B.V., All rights reserved.
Venue - Dates:
2021 IEEE Power and Energy Society General Meeting, PESGM 2021, , Washington, United States, 2021-07-26 - 2021-07-29
Keywords:
Ancillary services, grid support, grid-forming control, MPP estimation, MPPT, power reserves, renewables integration, solar PV
Identifiers
Local EPrints ID: 455105
URI: http://eprints.soton.ac.uk/id/eprint/455105
ISSN: 1944-9925
PURE UUID: 5848010c-6d8d-4ef2-8fc4-70c7e2890c0e
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Date deposited: 09 Mar 2022 17:39
Last modified: 18 Mar 2024 04:01
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Contributors
Author:
Bandopant Pawar
Author:
Saikat Chakrabarti
Author:
Efstratios I. Batzelis
Author:
Bikash C. Pal
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