Guzman, Noela SofiaCañizares, Claudio A.Bhattacharya, KankarSohm, Daniel2025-06-232025-06-232022-07-220378-7796https://doi.org/10.1016/j.epsr.2022.108550https://hdl.handle.net/10012/21898The final publication is available at Elsevier via https://doi.org/10.1016/j.epsr.2022.108550. © 2022. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/This paper presents a detailed methodology to develop Marginal Rate of Technical Substitution (MRTS) curves, which can be used to optimally determine the appropriate substitution of traditional regulation signals with fast regulation signals, considering different Energy Storage System (ESS) technologies and discharging times, scenarios, and seasons. The presented work is based on the Ontario Power System (OPS) managed by the Independent Electricity System Operator (IESO) of Ontario, Canada. Different comparisons of the MRTS curves are carried out and the criteria used to obtain 16 average optimized MRTS curves, four per season, are presented. Finally, the 16 MRTS curves obtained for the IESO and their parameters are presented, and the use of these curves is explained through an example.enAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/energy storagefast regulation signalfrequency regulationmarginal rate of technical substitutiontraditional regulation signalMarginal Rate of Technical Substitution curves for frequency regulation servicesArticle10.1016/j.epsr.2022.108550