Abstract
This paper presents a DC microgrid testbed setup that consists of various Distributed Energy Resources (DERs) including solar Photovoltaics (PV), supercapacitors for voltage regulation, and Battery Energy Storage Systems (BESS). The DC microgrid accommodates both non-flexible and flexible loads which can be dynamically adjusted based on PV power availability. The integration of the setup with the Hyphae Autonomous Power Interchange System (APIS) framework automates energy transfer within the BESS, ensuring efficient power management and optimizing the overall efficiency of the DC microgrid. Furthermore, the setup is validated in terms of the efficacy of the proposed model via real-time simulation, facilitated by the Speedgoat baseline real-time target Hardware-in-the-Loop (HIL) machine. The results demonstrate the model's adeptness in efficiently managing power sharing, emphasizing the capabilities of the DC microgrid setup in terms of performance and reliability in dynamic energy scenarios as well as enhancing the resilience of the grid amidst PV uncertainties.
Original language | English (US) |
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Title of host publication | 2024 12th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2024 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9798350362848 |
DOIs | |
State | Published - 2024 |
Event | 12th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2024 - Hong Kong, China Duration: May 13 2024 → … |
Publication series
Name | 2024 12th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2024 |
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Conference
Conference | 12th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2024 |
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Country/Territory | China |
City | Hong Kong |
Period | 05/13/24 → … |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- autonomous power interchange system
- battery energy storage systems
- Distributed energy resources
- flexible loads
- hardware-in-the-loop
ASJC Scopus subject areas
- Artificial Intelligence
- Information Systems and Management
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
- Safety, Risk, Reliability and Quality
- Modeling and Simulation