Abstrakti
Electricity networks are becoming more complex due to the integration of renewable and distributed energy resources, which necessitates tools to simulate more advanced management methods and multi-stakeholder interactions. To facilitate simulation, this article introduces a distributed communications platform. Unlike earlier platforms, this applies loose coupling and abstract software interfaces, enabling the users to flexibly select and parametrize simulation components. Furthermore, the components can operate on any software runtime. The components communicate via a RabbitMQ message bus, which provides asynchronous publish-subscribe communication. The work is in progress but has a functional prototype, enabling the simulation of an electricity grid and distributed energy resources. The prototypes under development will simulate the management of energy communities and electricity grids including the consideration of energy pricing, demand and weather conditions. The study contributes to the development of zero-emission energy systems and flexibility markets for grid operators and flexibility service providers.
Alkuperäiskieli | Englanti |
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Otsikko | 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings |
Kustantaja | IEEE |
Sivumäärä | 6 |
ISBN (elektroninen) | 9781665435970 |
DOI - pysyväislinkit | |
Tila | Julkaistu - 28 kesäk. 2021 |
OKM-julkaisutyyppi | A4 Artikkeli konferenssijulkaisussa |
Tapahtuma | IEEE PowerTech - Kesto: 28 kesäk. 2021 → 2 heinäk. 2021 |
Julkaisusarja
Nimi | 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings |
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Conference
Conference | IEEE PowerTech |
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Ajanjakso | 28/06/21 → 2/07/21 |
Rahoitus
This paper was financially supported by the European project H2020 ‘IN-TERRFACE’ (grant agreement number 824330) and national project ‘ProCem-Plus’ funded by Business Finland (diaries 842/31/2019 and 8211/31/2018). The authors want to express their sincere gratitude.
Julkaisufoorumi-taso
- Jufo-taso 1
!!ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Artificial Intelligence
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment