Software-in-the-loop testing of a distributed optimal scheduling strategy for microgrids' aggregators
| Autor: | Bonassi, F., La Bella, A., Fagiano, L., Scattolini, R., Zarrilli, D., Almaleck, P., Serra, P. |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Distributed scheduling Computer science 020209 energy Distributed computing Testing Software in the loop 02 engineering and technology Power (physics) Energy management system 020901 industrial engineering & automation Optimal scheduling Factor (programming language) Scalability 0202 electrical engineering electronic engineering information engineering Benchmark (computing) Microgrids computer computer.programming_language |
| Zdroj: | ISGT-Europe |
| Popis: | Recent regulations have explicitly endorsed the provision of ancillary services by Microgrids (MGs). However, the associated technical requirements (e.g. minimum power reserve) still represent an impeding factor for most MGs given their reduced capability. For this reason, approaches to pool MGs into Aggregators, allowing to jointly coordinate MGs to fulfill such requirements, have been proposed but their practical feasibility has been not proved. Therefore, the goal of this paper is to test a previously proposed distributed day-ahead scheduling algorithm on a realistic benchmark with ABB e-mesh™ EMS, an industrial-grade MG energy management system. The results show that the approach can deal systematically with different MG units and controllers, maintaining its scalable and optimal performances. |
| Databáze: | OpenAIRE |
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