Multi-Objective Sizing of Battery Energy Storage Systems for Stackable Grid Applications

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dc.contributor.authorArias, Nataly Banol
dc.contributor.authorLopez, Juan Camilo
dc.contributor.authorHashemi, Seyedmostafa
dc.contributor.authorFranco, John F. [UNESP]
dc.contributor.authorRider, Marcos J.
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.contributor.institutionTechnical University of Denmark
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2021-06-25T10:18:28Z
dc.date.available2021-06-25T10:18:28Z
dc.date.issued2021-05-01
dc.description.abstractThe deployment of battery energy storage systems (BESS) is rapidly increasing as a prominent option to support future renewable-based energy systems. However, despite its benefits from a technical perspective, there are still challenges related to its economic viability. On the other hand, sizing BESS considering only their economic viability can be impractical because financial objectives could be in conflict with other aspects, such as battery degradation and grid impact. This article proposes a multi-objective approach to determine the optimal size of BESS providing stackable services, such as frequency regulation and peak shaving. The proposed optimization method comprises financial and technical aspects represented by the payback period, battery life span, and grid impact. Given a set of market rules, a cost-benefit function, a regulation signal, consumption profiles and grid data, an enumerative approach is adopted to provide a set of Pareto optimal solutions. The performance of the proposed method is validated using the regulation market structure from PJM interconnection. Furthermore, a real 240-node distribution grid is used to assess the grid impact via OpenDSS. Simulations demonstrate that the proposed approach is a flexible and practical decision-making tool that investors can exploit when designing new BESS.en
dc.description.affiliationDepartment of Energy Systems School of Electrical and Computing of Engineering University of Campinas
dc.description.affiliationDepartment of Electrical Engineering Center for Electric and Energy Technical University of Denmark
dc.description.affiliationSchool of Energy Engineering São Paulo State University (UNESP)
dc.description.affiliationUnespSchool of Energy Engineering São Paulo State University (UNESP)
dc.format.extent2708-2721
dc.identifierhttp://dx.doi.org/10.1109/TSG.2020.3042186
dc.identifier.citationIEEE Transactions on Smart Grid, v. 12, n. 3, p. 2708-2721, 2021.
dc.identifier.doi10.1109/TSG.2020.3042186
dc.identifier.issn1949-3061
dc.identifier.issn1949-3053
dc.identifier.scopus2-s2.0-85097923005
dc.identifier.urihttp://hdl.handle.net/11449/205617
dc.language.isoeng
dc.relation.ispartofIEEE Transactions on Smart Grid
dc.sourceScopus
dc.subjectBattery energy storage systems
dc.subjectfrequency regulation
dc.subjectPareto optimality
dc.subjectpeak shaving
dc.subjectstackable services
dc.titleMulti-Objective Sizing of Battery Energy Storage Systems for Stackable Grid Applicationsen
dc.typeArtigo
unesp.author.orcid0000-0001-9711-4626[1]
unesp.author.orcid0000-0001-5646-8612[2]
unesp.author.orcid0000-0001-6482-1236[3]
unesp.author.orcid0000-0002-7191-012X[4]
unesp.author.orcid0000-0001-5484-1161[5]

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