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Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/D1277916-E2C4-4A8A-B95B-9DDD9ABC86F6 | - |
| Identifier | https://doi.org/10.3390/systems11030157 | - |
| Identifier | https://www.mdpi.com/2079-8954/11/3/157 | - |
| Language | en | - |
| Extent | 28 pages | en |
| Title | Engineering IoT-based open MAS for large-scale V2G/G2V | en |
| Creator | Spanoudakis Nikolaos | en |
| Creator | Σπανουδακης Νικολαος | el |
| Creator | Akasiadis Charilaos | en |
| Creator | Iatrakis Georgios | en |
| Creator | Ιατρακης Γεωργιος | el |
| Creator | Chalkiadakis Georgios | en |
| Creator | Χαλκιαδακης Γεωργιος | el |
| Publisher | MDPI | en |
| Description | This paper is an extended version of our paper published in PAAMS2022—The 21st International Conference on Practical Applications of Agents and Multi-Agent Systems, L’Aquila, Italy, 13–15 July 2022. | en |
| Content Summary | In this paper, we aimed to demonstrate how to engineer Internet of Things (IoT)-based open multiagent systems (MASs). Specifically, we put forward an IoT/MAS architectural framework, along with a case study within the important and challenging-to-engineer vehicle-to-grid (V2G) and grid-to-vehicle (G2V) energy transfer problem domain. The proposed solution addresses the important non-functional requirement of scalability. To this end, we employed an open multiagent systems architecture, arranging agents as modular microservices that were interconnected via a multi-protocol Internet of Things platform. Our approach allows agents to view, offer, interconnect, and re-use their various strategies, mechanisms, or other algorithms as modular smart grid services, thus enabling their seamless integration into our MAS architecture, and enabling the solution of the challenging V2G/G2V problem. At the same time, our IoT-based implementation offers both direct applicability in real-world settings and advanced analytics capabilities via enabling digital twin models for smart grid ecosystems. We have described our MAS/IoT-based architecture in detail; validated its applicability via simulation experiments involving large numbers of heterogeneous agents, operating and interacting towards effective V2G/G2V; and studied the performance of various electric vehicle charging scheduling and V2G/G2V-incentivising electricity pricing algorithms. To engineer our solution, we used ASEME, a state-of-the-art methodology for multiagent systems using the Internet of Things. Our solution can be employed for the implementation of real-world prototypes to deliver large-scale V2G/G2V services, as well as for the testing of various schemes in simulation mode. | 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 | 2025-05-05 | - |
| Date of Publication | 2023 | - |
| Subject | Internet of things (IoT) | en |
| Subject | Open multiagent systems | en |
| Subject | Smart grid | en |
| Subject | Engineering multiagent systems (EMASs) | en |
| Subject | Digital twin | en |
| Bibliographic Citation | N. I. Spanoudakis, C. Akasiadis, G. Iatrakis and G. Chalkiadakis, “Engineering IoT-based open MAS for large-scale V2G/G2V,” Systems, vol. 11, no. 3, Mar. 2023, doi: 10.3390/systems11030157. | en |
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