Szczegóły publikacji
Opis bibliograficzny
Digital twin model for resource-constrained power system maintenance activities / Yorlandys SALGADO-DUARTE, Janusz SZPYTKO // W: Innovative intelligent industrial production and logistics : 5th international conference, IN4PL 2024 : Porto, Portugal, November 21–22, 2024 : proceedings, Pt. 2 / eds. Michele Dassisti, Kurosh Madani, Hervé Panetto. — Cham : Springer, cop. 2025. — (Communications in Computer and Information Science ; ISSN 1865-0929 ; vol. 2373). — ISBN: 978-3-031-80774-9; e-ISBN: 978-3-031-80775-6. — s. 453–474. — Bibliogr., Abstr. — Publikacja dostępna online od: 2025-02-14
Autorzy (2)
Dane bibliometryczne
| ID BaDAP | 158218 |
|---|---|
| Data dodania do BaDAP | 2025-03-20 |
| DOI | 10.1007/978-3-031-80775-6_30 |
| Rok publikacji | 2025 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Czasopismo/seria | Communications in Computer and Information Science |
Abstract
This paper presents a Digital Twin (DT) model designed to address the process of coordinating distributed maintenance activities of resource-constrained Power Systems with green energy integrated, employing Machine Learning (ML) for model calibration and Heuristic Optimization (HO) to solve the underlying coordination process. The model integrates real-time operational data collected by a Supervisory Control and Data Acquisition (SCADA) system and centralized in a Structured Query Language (SQL) database. The model performs predictive and prescriptive analyses to minimize convergence risks between maintenance planning, historical system degradation, and operating capacity, over a predefined time horizon, by merging all underlying processes into a single and intuitive risk indicator estimated via the Monte Carlo method, and by using a digital representation of all interconnected modeled processes in MATLAB, but also integrating Python packages into the modeling methodology. Here, the paper mainly describes the role of the DT framework in addressing this solution in practical terms and lists all components modeled with the corresponding link to the operating data. The Power System used as a case study includes a wide matrix of green energy sources and the associated resource constraint of each primary energy source considered.
