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Surapad Larbwisuthisaroj. Impact of AI data center integration on grid ramping in high-pv systems and mitigation via optimal bess sizing. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2026.
Impact of AI data center integration on grid ramping in high-pv systems and mitigation via optimal bess sizing
Name: Chalermjit Klansupar
Organization :
Thai-Nichi Institute of Technology. Department of Electrical Engineering
Email :
chalermjit.kla@tni.ac.th
Name: Surapad Larbwisuthisaroj
Organization :
Rajamangala University of Technology Krungthep. Division of Electrical Engineering
Email :
surapad.l@mail.rmutk.ac.th
LCSH:
Data centers
-- Energy consumption
LCSH:
Storage batteries
Abstract:
Thailand is actively moving toward renewable energy targets following the PDP2024 plan. However, the power grid currently faces a major challenge from the high penetration of solar PV combined with the new load from hyperscale AI data centers. This specific combination causes a severe 'ramping risk,' especially during the evening transition. During this interval, solar power decreases rapidly, but the AI data center load remains high due to continuous training tasks. This paper proposes a method to determine the optimal size of the Battery Energy Storage System (BESS) to effectively mitigate this risk. A multi-period optimization model based on Mixed-Integer Linear Programming (MILP) is employed. The simulation explicitly covers four representative weeks to capture seasonal effects across three horizons: 2025, 2030, and 2035. The results confirm that the calculated BESS capacity can effectively solve the ramping problems. Specifically, no BESS is required in 2025, but a capacity of 4,284 MW is mandatory by 2035 to help reduce unserved energy to near zero. In addition, the total operating cost is reduced by approximately 16.51 percent in the 2035 scenario compared to the case without battery storage.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2026
Modified:
2026-08-11
Issued:
2026-08-11
บทความ/Article
application/pdf
BibliograpyCitation :
In ECTI Association and Burapha University. Faculty of Engineering. 2026 23rd International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON 2026) (pp.570-575). Piscataway, NJ : IEEE
eng
©copyrights King Mongkut's University of Technology North Bangkok
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Chalermjit Klansupar
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|---|---|---|
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มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Chalermjit Klansupar;Surachai Chaitusaney | บทความ/Article | |
| Impact of AI data center integration on grid ramping in high-pv systems and mitigation via optimal bess sizing
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