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 battery...

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Bibliographic Details
Published inSerbian journal of electrical engineering Vol. 22; no. 2; pp. 243 - 265
Main Authors Çakır, Muhammed, Esen, Irem, Ceylan, Oğuzhan, Zehir, Mustafa, Zanaj, Elma
Format Journal Article
LanguageEnglish
Published Faculty of Technical Sciences in Cacak 01.01.2025
Subjects
ancillary services
batteries
grey wolf optimization
optimization
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ISSN1451-4869
2217-7183
2217-7183
DOI10.2298/SJEE2502243C

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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.
ISSN:1451-4869
2217-7183
2217-7183
DOI:10.2298/SJEE2502243C