A Robust Multi-market Scheduling Strategy for Battery Energy Storage Systems
Sunho Jang, Siddharth Bhela, Nan Xue · 2024
In this paper, we propose a novel robust battery energy storage system (BESS) scheduling algorithm that makes offers to multiple ancillary service markets. The proposed algorithm enables BESS to provide frequency regulation and synchronized reserve services while concurrently fulfilling commitments to a long-term capacity market without violating any operational constraints. In particular, the offers to the ancillary service markets scheduled by the proposed algorithm remain valid under any possible frequency regulation signal and synchronized reserve events within the defined uncertainty set. The case study demonstrates that the proposed algorithm is robust to the given uncertainties and outperforms two selected benchmarks.