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Real-time Energy Management in Multi-Source, Multi-Charge Systems : Power Hardware-in-the-Loop Validation

Obeid, Hussein ; Li, Huan LU orcid ; El Iali, Ahmad Eid and Gualous, Hamid (2024) 50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024 In IECON Proceedings (Industrial Electronics Conference)
Abstract

This paper implements and validates a real-time Energy Management System (EMS) for DC microgrid operation using a power hardware-in-the-loop (PHIL) test bench. The test bench replicates renewable sources, a general load, and a Hybrid Energy Storage System (ESS) comprising a battery, an emulated fuel cell, an emulated electrolyzer, and a virtual hydrogen tank. Constructed with dSPACE and Simulink, the PHIL test bench facilitates the control and monitoring of DC sources, DC loads, and controllable DC/DC converters. The EMS technique combines an Optimal Dispatching (OD) algorithm with Model Predictive Control (MPC). While OD effectively reduces the total cost of grid utilization, it falls short in responding to actual disruptions and... (More)

This paper implements and validates a real-time Energy Management System (EMS) for DC microgrid operation using a power hardware-in-the-loop (PHIL) test bench. The test bench replicates renewable sources, a general load, and a Hybrid Energy Storage System (ESS) comprising a battery, an emulated fuel cell, an emulated electrolyzer, and a virtual hydrogen tank. Constructed with dSPACE and Simulink, the PHIL test bench facilitates the control and monitoring of DC sources, DC loads, and controllable DC/DC converters. The EMS technique combines an Optimal Dispatching (OD) algorithm with Model Predictive Control (MPC). While OD effectively reduces the total cost of grid utilization, it falls short in responding to actual disruptions and uncertainties. To address these issues, MPC is integrated with OD. This combination of OD with MPC offers two main advantages: it ensures a reduction in grid utilization and effectively manages perturbations and sudden interruptions.

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Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Microgrid, MPC, Optimization, PHIL, Real-time EMS
host publication
IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society, Proceedings
series title
IECON Proceedings (Industrial Electronics Conference)
publisher
IEEE Computer Society
conference name
50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024
conference location
Chicago, United States
conference dates
2024-11-03 - 2024-11-06
external identifiers
  • scopus:105000990456
ISSN
2162-4704
2577-1647
ISBN
9781665464543
DOI
10.1109/IECON55916.2024.10905275
language
English
LU publication?
yes
id
43968879-557f-47f0-95f6-b5ebec64d904
date added to LUP
2025-09-12 13:25:43
date last changed
2025-09-12 13:26:10
@inproceedings{43968879-557f-47f0-95f6-b5ebec64d904,
  abstract     = {{<p>This paper implements and validates a real-time Energy Management System (EMS) for DC microgrid operation using a power hardware-in-the-loop (PHIL) test bench. The test bench replicates renewable sources, a general load, and a Hybrid Energy Storage System (ESS) comprising a battery, an emulated fuel cell, an emulated electrolyzer, and a virtual hydrogen tank. Constructed with dSPACE and Simulink, the PHIL test bench facilitates the control and monitoring of DC sources, DC loads, and controllable DC/DC converters. The EMS technique combines an Optimal Dispatching (OD) algorithm with Model Predictive Control (MPC). While OD effectively reduces the total cost of grid utilization, it falls short in responding to actual disruptions and uncertainties. To address these issues, MPC is integrated with OD. This combination of OD with MPC offers two main advantages: it ensures a reduction in grid utilization and effectively manages perturbations and sudden interruptions.</p>}},
  author       = {{Obeid, Hussein and Li, Huan and El Iali, Ahmad Eid and Gualous, Hamid}},
  booktitle    = {{IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society, Proceedings}},
  isbn         = {{9781665464543}},
  issn         = {{2162-4704}},
  keywords     = {{Microgrid; MPC; Optimization; PHIL; Real-time EMS}},
  language     = {{eng}},
  publisher    = {{IEEE Computer Society}},
  series       = {{IECON Proceedings (Industrial Electronics Conference)}},
  title        = {{Real-time Energy Management in Multi-Source, Multi-Charge Systems : Power Hardware-in-the-Loop Validation}},
  url          = {{http://dx.doi.org/10.1109/IECON55916.2024.10905275}},
  doi          = {{10.1109/IECON55916.2024.10905275}},
  year         = {{2024}},
}