Title: Microgrid digital twins: concepts and their controlling through multi-agent systems

Authors: Gaurav Singh Negi; Anupama Mishra; Mukul Kumar Gupta; Nitin Kumar Saxena; DilipKumar Jang Bahadur Saini; Kapil Joshi

Addresses: Electrical and Electronics Engineering, Uttaranchal Institute of Technology, Uttaranchal University, Dehradun, 248007, India ' Department of Computer Science and Engineering, Himalayan School of Science and Technology, Swami Rama Himalayan University, Dehradun, Uttarakhand, 248140, India ' School of Engineering, University of Petroleum and Energy Studies, Dehradun, 248006, India; Department of Electronics & Instrumentation Engineering, MJP Rohilkhand University, Bareilly, UP, 243006, India ' Electrical and Electronics Engineering, KIET Group of Institutions, Ghaziabad, 201206, India; Electrical and Computer Engineering, University of Denver, Denver, 80210, USA ' Department of Computer Science and Engineering, School of Engineering and Technology, Pimpri Chinchwad University, Pune, 411044, India ' Department of CSE, Uttaranchal Institute of Technology, Uttaranchal University, Dehradun, 248007, India

Abstract: Real-time grid analysis is made possible by the electric digital twin grid, which combines history and present data to convey system status and project future circumstances. Cooperative smart agents that can solve problems bigger than one agent's scope make up a multi-agent system (MAS). A micro-grid digital twin (MGDT) uses real-time data interchange and high-fidelity models to simulate a microgrid's operation. Hybrid energy storage systems are managed by agents who maximise renewable resources and minimise expenses. Microgrids combine sensing, control, and intelligence technology in utility networks. Plant management, communication protocols, and power system operations are all made easier with MAS-based control. For dependable microgrid operation, dispersed energy resources are coordinated by MAS. In order to handle complexity and improve resilience and control of the energy system, this study investigates the application of MAS in microgrid control. Energy management and agent communication in microgrids are the main topics of MAS research. Integrating microgrid digital twins with MAS holds promise for advancing energy systems.

Keywords: microgrid; digital twins; MASs; multi-agent systems; renewable energy sources; smart energy infrastructure.

DOI: 10.1504/IJHPSA.2023.139898

International Journal of High Performance Systems Architecture, 2023 Vol.11 No.4, pp.225 - 236

Received: 23 Aug 2023
Accepted: 11 Dec 2023
Published online: 09 Jul 2024 *

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