Two level demand response planning for retail multi-tenant datacenters.

 

Autor(es):
Muraña, Jonathan ; Nesmachnow, Sergio ; Iturriaga, Santiago ; Montes de Oca, Sebastián ; Belcredi, Gonzalo ; Monzón, Pablo ; Tchernykh, Andrei
Tipo:
Preprint
Versión:
Enviado
Financiadores:
Agencia Nacional de Investigación e Innovación FSE_1_2017_1_144789
Resumen:

This article presents a two level planning approach for the participation of datacenters in the electricity market, by providing appropriate actions to demand response events, a relevant issue to contribute to the smart grid paradigm. A planning strategy is proposed for retail collocation datacenters, considering their heterogeneity. A negotiation is applied at the datacenter level and scheduling heuristics are used at the tenants level. Three heuristics are evaluated, accounting for different features of tasks submitted for execution. The proposed approach is evaluated considering realistic infrastructures (servers and air conditioning system) and workloads. The main results suggest that the proposed approach provides appropriate plannings for demand response events, significantly improving over Business-as-Usual operation and when there is not electricity load shedding. The Nash+PL heuristic computed the best results regarding cost while accounting for appropriate quality of service.

Año:
2021
Idioma:
Inglés
Temas:
Demand response
Computational intelligence
Planning, Datacenters
Institución:
Universidad de la República
Repositorio:
COLIBRI
Enlace(s):
https://hdl.handle.net/20.500.12008/26941
Nivel de acceso:
Acceso abierto