• Corpus ID: 173991186

Cloud Storage for Multi-Service Battery Operation (Extended Version)

@article{Rasouli2019CloudSF,
  title={Cloud Storage for Multi-Service Battery Operation (Extended Version)},
  author={Mohammad Rasouli and Tao Sun and Camille Pache and Patrick Panciatici and Jean Maeght and Ramesh Johari and Ram Rajagopal},
  journal={arXiv: Signal Processing},
  year={2019}
}

• M. Rasouli, Tao Sun, +4 authors R. Rajagopal
• Published 17 May 2019
• Computer Science
• arXiv: Signal Processing

Electrical batteries are able to provide a wide range of services to the electricity system. However, the main barrier to their development is the cost, which can be overcome by the provision of multiple services. This paper proposes a multi-service framework where large-scale batteries are shared between different users and use cases by defining operational metrics such as multiplexing gain and probability of blocking. We apply this framework to the specific case of sharing a battery between two services: grid congestion management and Cloud Storage for households. The proposed Cloud Storage service allows end users to have access to virtual storage capacities, while taking advantage of the flexibility of cloud services. An empirical analysis of this model based on a large set of household consumption data in California and a real grid use case from the French Transmission System Operator (RTE) evaluates the economic value of multi-service batteries providing Cloud Storage and grid congestion management.