Intelligence based coordination of large scale grid-connected photovoltaic systems
Intelligence based coordination of large scale grid-connected photovoltaic systems
This paper explores the possibility of optimizing two control strategies currently available for photovoltaic (PV) plants, namely additional reactive power and active power reduction. As the penetration of PV plants is expected to increase, controlling such plants during faults becomes increasingly important. The stability of the power system during a fault and immediately after is affected by the system capability to control the reactive and active power flows. Motivated by the fact that curtailing active and injecting reactive power during faults impacts on the system behavior, the two available controllers are tuned and optimized in such a way that the system stability during the disturbance is secured with the help of Particle Swarm Optimization (PSO) algorithm. The optimization process uses the locally measured voltage and frequency at the Point of Common Coupling (PCC) of the PV. The study takes into account various circumstances, such as levels of PV penetration and faults.
active current reduction, fault-ride-through, frequency stability, grid codes, K-factor, photovoltaic, power system stability, voltage stability
1-6
Swandaru, Akbar
8138b7e5-a0e3-4507-994b-b31a9cf76f5e
Rotaru, Mihai D.
c53c5038-2fed-4ace-8fad-9f95d4c95b7e
Sykulski, Jan K.
1b14ab09-cbef-4efc-b753-88a3a26f5cd0
2 July 2016
Swandaru, Akbar
8138b7e5-a0e3-4507-994b-b31a9cf76f5e
Rotaru, Mihai D.
c53c5038-2fed-4ace-8fad-9f95d4c95b7e
Sykulski, Jan K.
1b14ab09-cbef-4efc-b753-88a3a26f5cd0
Swandaru, Akbar, Rotaru, Mihai D. and Sykulski, Jan K.
(2016)
Intelligence based coordination of large scale grid-connected photovoltaic systems.
In Proceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016.
vol. 2017-January,
IEEE.
.
(doi:10.1109/UPEC.2016.8114135).
Record type:
Conference or Workshop Item
(Paper)
Abstract
This paper explores the possibility of optimizing two control strategies currently available for photovoltaic (PV) plants, namely additional reactive power and active power reduction. As the penetration of PV plants is expected to increase, controlling such plants during faults becomes increasingly important. The stability of the power system during a fault and immediately after is affected by the system capability to control the reactive and active power flows. Motivated by the fact that curtailing active and injecting reactive power during faults impacts on the system behavior, the two available controllers are tuned and optimized in such a way that the system stability during the disturbance is secured with the help of Particle Swarm Optimization (PSO) algorithm. The optimization process uses the locally measured voltage and frequency at the Point of Common Coupling (PCC) of the PV. The study takes into account various circumstances, such as levels of PV penetration and faults.
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More information
Published date: 2 July 2016
Additional Information:
Funding Information:
The first author wishes to thank the Indonesia Endowment Fund for Education (Lembaga Pengelola Dana Pendidikan LPDP), Ministry of Finance, The Republic of Indonesia, for providing a PhD scholarship to Akbar Swandaru to pursue his PhD at the University of Southampton, UK.
Publisher Copyright:
© 2016 IEEE.
Venue - Dates:
51st International Universities Power Engineering Conference, UPEC 2016, , Coimbra, Portugal, 2016-09-06 - 2016-09-09
Keywords:
active current reduction, fault-ride-through, frequency stability, grid codes, K-factor, photovoltaic, power system stability, voltage stability
Identifiers
Local EPrints ID: 477729
URI: http://eprints.soton.ac.uk/id/eprint/477729
PURE UUID: a91266f5-06a0-4ecf-832c-1973e6a41393
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Date deposited: 13 Jun 2023 17:23
Last modified: 17 Mar 2024 13:20
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Contributors
Author:
Akbar Swandaru
Author:
Mihai D. Rotaru
Author:
Jan K. Sykulski
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