Title Optimal Self-Scheduling of Battery Energy Storage Systems for Energy and Power Balance Provision Services: A Robust Framework
Authors Khazali, Amirhossein , RODRÍGUEZ CORTÉS, PEDRO, SÁNCHEZ DE LA NIETA LÓPEZ, AGUSTÍN ALEANDRO
External publication No
Means IEEE Power Energy Soc. Gen. Meet.
Scope Proceedings Paper
Nature Científica
SJR Impact 0.345
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099147614&doi=10.1109%2fPESGM41954.2020.9281467&partnerID=40&md5=5d7f4e7de87eee46264230a9ee9069ff
Publication date 01/01/2020
ISI 000679246600083
Scopus Id 2-s2.0-85099147614
DOI 10.1109/PESGM41954.2020.9281467
Abstract Battery energy storage systems (BESS) are among interesting devices for providing frequency regulation services due to their fast response to frequency variations. Considering the uncertain nature of frequency regulation signals (FRS), dedicating the proper amount of capacity for providing frequency regulation becomes a challenging task for BESS owners. In this research, a robust framework is presented for optimal bidding of a BESS regarding uncertainties caused by prices and FRSs which are sent by the system operator. The robust approach assures that enough capacity will be provided for responding to the FRS in the worst case. In addition to the frequency regulation market, the BESS fulfills the routine arbitrage for energy markets. The study is conducted on a 2MWh/1MW BESS and the results show the main profit is obtained by the dedication of the BESS capacity to the frequency regulation service. In addition, compared to the deterministic approach, the self-scheduling is protected against uncertainty realization in the cost of a lower profit.
Keywords Battery energy storage system; Frequency regulation service; Robust optimization
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