Digital Twin System Framework and Implementation for Grid-Integrated Electric Vehicles DOI Creative Commons

Jason C Yu,

Kyu-Sang Cho,

Sung-Won Park

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(24), P. 6249 - 6249

Published: Dec. 11, 2024

Research on digital twins (DTs) in the power system field has mainly focused implementing DTs for specific resources, while few studies electric vehicle (EV)-based DT implementation have considered integration and interoperability between systems. This study introduces a DT-based EV operation framework to address aforementioned research gap. The implements individual EVs, charging stations, station operators (CPOs) as DTs, enabling integrated with grid. agent supports independent decision-making service participation by considering location information, distance, amount, spare time, incentives. In addition, CPO can establish an optimal incentive strategy induce users participate grid services. proposed systems map information grid, analysis verification of impact participants operation, stability, economic efficiency environment. effectiveness usability were verified through case incentive-based demand response program.

Language: Английский

Integrating type-2 fuzzy logic controllers with digital twin and neural networks for advanced hydropower system management DOI Creative Commons
Yali Zeng,

Zahraa A. Hussein,

Mustafa Habeeb Chyad

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 11, 2025

The increasing complexity of hydropower systems necessitates advanced control strategies to optimize performance and enhance system reliability. This paper presents a novel approach that integrates Type-2 Fuzzy Logic Controllers (T2FLC), Digital Twin technology, Neural Networks for comprehensive management systems. proposed hybrid aims improve load management, fault detection, operational efficiency. Our method employs Controller handle uncertainty imprecision in control. creates dynamic simulation model the system, allowing real-time monitoring predictive analysis. further this by providing insights based on historical data. Specifically, achieved 10.96% increase efficiency 12.64% reduction detection time compared traditional methods. contributed 18.21% improvement accuracy, while enhanced decisions, resulting 8.05% deviations. Furthermore, showed 11.48% overall reliability 13.04% maintenance costs, illustrating practical benefits integrating technologies. These results underscore effectiveness combining T2FLC, Twin, Networks, offering substantial advancement management. not only enhances but also provides robust framework future advancements intelligent strategies.

Language: Английский

Citations

1
The Concept of a Digital Twin for the Wały Śląskie Hydroelectric Power Plant: A Case Study in Poland DOI Creative Commons
A Machalski, Przemysław Szulc, Dominik Błoński

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(8), P. 2021 - 2021

Published: April 15, 2025

This paper introduces a conceptual framework for the development and implementation of digital twin specifically designed Wały Śląskie Hydroelectric Power Plant. The primary focus is on defining concept, addressing critical challenges encountered during its conceptualization, such as incomplete plant documentation, limited real-time data availability, complexities in system integration. architecture developed to address these issues features modular components, including acquisition, processing, visualization, integration layers, emphasizing scalability, adaptability, secure interoperability. Computational Fluid Dynamics (CFD) simulations AI-based modeling techniques are integrated into proposed essential tools, providing inputs efficiency operational analysis. concept ensures accurate reliable representation, facilitating informed decision-making efficient management within hydropower plants.

Language: Английский

Citations

0
Innovative Horizons for Sustainable Smart Energy: Exploring the Synergy of 5G and Digital Twin Technologies DOI

Mirjana Maksimović,

Srđan Jokić,

Marko Bošković

et al.

Process Integration and Optimization for Sustainability, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 14, 2025

Language: Английский

Citations

0
Innovative framework for fault detection and system resilience in hydropower operations using digital twins and deep learning DOI Creative Commons
Jun Yuan Tan,

Raoof Mohammed Radhi,

Kimia Shirini

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: May 5, 2025

Language: Английский

Citations

0
Digital Twin System Framework and Implementation for Grid-Integrated Electric Vehicles DOI Creative Commons

Jason C Yu,

Kyu-Sang Cho,

Sung-Won Park

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(24), P. 6249 - 6249

Published: Dec. 11, 2024

Research on digital twins (DTs) in the power system field has mainly focused implementing DTs for specific resources, while few studies electric vehicle (EV)-based DT implementation have considered integration and interoperability between systems. This study introduces a DT-based EV operation framework to address aforementioned research gap. The implements individual EVs, charging stations, station operators (CPOs) as DTs, enabling integrated with grid. agent supports independent decision-making service participation by considering location information, distance, amount, spare time, incentives. In addition, CPO can establish an optimal incentive strategy induce users participate grid services. proposed systems map information grid, analysis verification of impact participants operation, stability, economic efficiency environment. effectiveness usability were verified through case incentive-based demand response program.

Language: Английский

Citations

0