Institutional Repository
Technical University of Crete
Technical University of Crete
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EL
| URI | http://purl.tuc.gr/dl/dias/ECB180C1-3886-4166-84BD-301FCED92591 | - |
| Identifier | https://doi.org/10.1016/j.segan.2023.101229 | - |
| Identifier | https://www.sciencedirect.com/science/article/pii/S2352467723002370 | - |
| Language | en | - |
| Extent | 12 pages | en |
| Title | Multi-agent-based real-time operation of microgrids employing plug-in electric vehicles and building prosumers | en |
| Creator | Kyriakou Dimitra | en |
| Creator | Κυριακου Δημητρα | el |
| Creator | Kanellos Fotios | en |
| Creator | Κανελλος Φωτιος | el |
| Creator | Ipsakis Dimitrios | en |
| Creator | Ιψακης Δημητριος | el |
| Publisher | Elsevier | en |
| Content Summary | Real-time operation of microgrids holds significant importance due to its ability to enhance energy resilience and efficiency. Real-time control in conjunction with continuous monitoring and energy supply and demand fluctuations adaptation, ensures a stable and reliable power supply for local communities, even during grid disturbances or outages. Moreover, real-time operation supports demand response mechanisms, enabling users to actively manage their energy consumption and costs. Overall, it plays a pivotal role in modernizing and future-proofing contemporary energy infrastructure, making it more sustainable. In this paper, an efficient, easily applied multi-agent-based real-time energy management and control system for microgrids employing Plug-In Electric Vehicles (PEVs) and building prosumers is developed. The primary goal of this proposed approach is to determine the optimal power set-points for all microgrid components with the objective to reduce the overall daily operation expenses under fluctuating electricity price, while simultaneously satisfying a wide range of constraints. Well-defined flexibilities of all microgrid components to adjust their power are harnessed to execute optimal power dispatch. The implementation of the proposed method resulted in a noteworthy cost reduction of 14.3% when contrasted with a typical operation of the microgrid. | en |
| Type of Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2025-04-30 | - |
| Date of Publication | 2024 | - |
| Subject | Real-time control | en |
| Subject | Smart building prosumers | en |
| Subject | Energy efficiency | en |
| Subject | Plug-in electric vehicles | en |
| Subject | Thermal comfort | en |
| Subject | Sustainability | en |
| Subject | Optimization | en |
| Subject | Demand response | en |
| Subject | Power management | en |
| Subject | Optimal power dispatch | en |
| Bibliographic Citation | D. G. Kyriakou, F. D. Kanellos, and D. Ipsakis, “Multi-agent-based real-time operation of microgrids employing plug-in electric vehicles and building prosumers,” Sustainable Energy Grids Networks, vol. 37, Mar. 2024, doi: 10.1016/j.segan.2023.101229. | en |
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