Day-ahead optimal battery operation in islanded hybrid energy systems and its impact on greenhouse gas emissions

Lujano-Rojas, Juan M. (Universidad de Zaragoza) ; Yusta, José M. (Universidad de Zaragoza) ; Artal-Sevil, Jesús Sergio (Universidad de Zaragoza) ; Domínguez-Navarro, José Antonio (Universidad de Zaragoza)

Resumen: This paper proposes a management strategy for the daily operation of an isolated hybrid energy system (HES) using heuristic techniques. Incorporation of heuristic techniques to the optimal scheduling in day-head basis allows us to consider the complex characteristics of a specific battery energy storage system (BESS) and the associated electronic converter efficiency. The proposed approach can determine the discharging time to perform the load peak-shaving in an appropriate manner. A recently proposed version of binary particle swarm optimization (BPSO), which incorporates a time-varying mirrored S-shaped (TVMS) transfer function, is proposed for day-ahead scheduling determination. Day-ahead operation and greenhouse gas (GHG) emissions are studied through different operating conditions. The complexity of the optimization problem depends on the available wind resource and its relationship with load profile. In this regard, TVMS-BPSO has important capabilities for global exploration and local exploitation, which makes it a powerful technique able to provide a high-quality solution comparable to that obtained from a genetic algorithm.

Idioma: Inglés

DOI: 10.3390/app9235221

Año: 2019

Publicado en: Applied Sciences (Switzerland) 9, 23 (2019), 5221 [30 pp.]
ISSN: 2076-3417

Factor impacto JCR: 2.474 (2019)

Categ. JCR: PHYSICS, APPLIED rank: 62 / 154 = 0.403 (2019) - Q2 - T2
Categ. JCR: ENGINEERING, MULTIDISCIPLINARY rank: 32 / 91 = 0.352 (2019) - Q2 - T2
Categ. JCR: CHEMISTRY, MULTIDISCIPLINARY rank: 88 / 176 = 0.5 (2019) - Q2 - T2
Categ. JCR: MATERIALS SCIENCE, MULTIDISCIPLINARY rank: 161 / 314 = 0.513 (2019) - Q3 - T2

Factor impacto SCIMAGO: 0.418 - Engineering (miscellaneous) (Q1) - Fluid Flow and Transfer Processes (Q2) - Process Chemistry and Technology (Q2) - Instrumentation (Q2) - Materials Science (miscellaneous) (Q2) - Computer Science Applications (Q3)

Financiación: info:eu-repo/grantAgreement/ES/DGA/T28-17R-Building Aragon from Europe
Financiación: info:eu-repo/grantAgreement/ES/MINECO/ENE2016-77172-R

Tipo y forma: Article (Published version)

Área (Departamento): Área Ingeniería Eléctrica (Dpto. Ingeniería Eléctrica)