Microgrid management system based on a multi-agent approach: An office building pilot
Open accessAbstract
Microgrids bring advantages to end-users and to the smart grid environment. However, adequate management software, enabling bringing to the field new energy management concepts, is not available yet. Small, single-tasked, software is usually proposed and tested while a clear overall system architecture for microgrid management required to take full advantage of the microgrids’ potential. Previous publications usually focus on energy-related problems and do not provide an efficient and viable solution for players’ representation and microgrid operation. This paper proposes a complete architecture for a microgrid management system based on a multi-agent approach – µGIM – allowing the easy implementation of different energy strategies. The µGIM agents can independently manage local resources while able to collaborate and/or compete with other agents. Designed to run in single-board computers, µGIM agents are light-weighted and easily deployed in buildings. To demonstrate these capabilities, the paper details and presents a microgrid deployment using µGIM solution.
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There is a significant gap between academic concepts and the physical implementations of microgrids.
“In this regard, as pointed by Gomes et al. [19], currently, there is a significant gap between academic concepts and the physical implementations of microgrids.”
From Innovative Multi-Layered Architecture for Heterogeneous Automation and Monitoring Systems: Application Case of a Photovoltaic Smart Microgrid (2021) · cites this paper as [19]
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References 62 · Cited by 44
Research works printed but not linked: 2
- The Linux Foundation, The Linux Foundation Launches LF ENERGY, New Open Source Coalition, 12 July 2018. Available (accessed 12/04/2019): https://www. linuxfoundation.org/press-release/2018/07/the-linux-foundation-launches-lf- energy-new-open-source-coalition/
- F.H. Malik, M. Lehtonen, A review: Agents in smart grids, Electric Power Systems Research 131 (2016) 71-79, https://doi.org/10.1016/j. epsr.2015.10.004. · DOI
- Authors
- Gomes, L., Vale, Z., & Corchado, J. M.
- Affiliations
- Universidade Técnica do Porto (PT)
- Universidad de Salamanca (ES)
- Venue
- Measurement
- Publisher
- Elsevier BV
- Published
- 2020-03
- Volume
- 154
- Pages
- 107427
- ISSN
- 0263-2241 (ISSN-L)
- OpenAlex
- W2995293121
- Cited by
- 44
- References
- 62
- Citations by year
- 2025: 2 · 2024: 10 · 2023: 10 · 2022: 5 · 2021: 11 · 2020: 6
- FWCI
- 3.05
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Measurement (publishedVersion, other-oa)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, other-oa)
- Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, cc-by-nc-nd)
- Funders
- Programa Operacional Temático Factores de Competitividade
- European Regional Development Fund
- Fundação para a Ciência e a Tecnologia (PTDC/EEI-EEE/28954/2017, UID/EEA/00760/2019, SFRH/BD/109248/2015)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Microgrid Control and Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid and Power Systems
- Keywords
- multi-agent systems, energy management strategy, single-board computer, smart grid, building energy management
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