Optimal sizing of battery energy storage system for a large-scale offshore wind power plant considering grid code constraints: A Turkish case study

Date

2024-01-01

Author

Mokhtare, Mohammad Hossein
Keysan, Ozan

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

20
views

0
downloads

Cite This

Integration of large-scale wind farms (WFs) into the grid has to meet the critical constraints set in the national grid code. Wind farm operators (WFOs) are inclined to comply with these constraints and avoid heavy penalty costs for violating such regulations. However, this may result in reduced power sent to the grid. Moreover, the addition of new rules to account for the increased penetration of WFs brings challenges to the profitability of the WFs. A battery energy storage system (BESS), if sized optimally, can be a reliable method to fulfill the grid code requirements without sacrificing profit. This paper provides a techno-economic model to find the optimal rated capacity and power for a BESS in WFs. This optimization model takes the absolute production and delta production constraints into account. Two approaches are studied for integrating these constraints into the grid code. It is shown that the flexible strategy financially outperforms the strict addition of the new rules. This will be useful, especially to attract investments in wind energy projects despite the abovementioned limitations in the grid code. All the modeling and analysis are done for a potential offshore wind power plant (OWPP) in Turkey. Simulation results show the effectiveness of the optimal BESS in increasing the amount of energy delivered to the grid and improving the profitability of the OWPP.

Subject Keywords

energy storage, offshore installations, optimisation, wind power plants

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85186429746&origin=inward
https://hdl.handle.net/11511/109024

Collections

Department of Electrical and Electronics Engineering, Article