A grey wolf optimization based approach to provide ancillary services for battery owners
As is known, batteries have started to be used increasingly in both power distribution and transmission networks. This study develops a near-optimal approach for ancillary services in power networks from the perspective of the battery owner. We first model the optimization algorithm for the...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Faculty of Technical Sciences in Cacak
2025-01-01
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| Series: | Serbian Journal of Electrical Engineering |
| Subjects: | |
| Online Access: | https://doiserbia.nb.rs/img/doi/1451-4869/2025/1451-48692502243C.pdf |
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| Summary: | As is known, batteries have started to be used increasingly in both power
distribution and transmission networks. This study develops a near-optimal
approach for ancillary services in power networks from the perspective of
the battery owner. We first model the optimization algorithm for the battery
owner, then utilize a grey wolf optimization approach, where near-optimal
actions are selected daily from available services. We use real data of
frequency, voltage magnitude, combined home and Photovoltaic system, and
transformer load to perform the simulations. The simulation results show
that battery owners may profit from these services and help the system
operators solve the issues such as over-voltage, under-voltage, frequency,
and similar. |
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| ISSN: | 1451-4869 2217-7183 |