Thimphu cloud energy storage project

Can cloud energy storage reduce operating costs?

Therefore, the optimal allocation of small energy storage resources and the reduction of operating costs are urgent problems to be solved. In this study, the author introduced the concept of cloud energy storage and proposed a system architecture and operational model based on the deployment characteristics of user-side energy storage devices.

What is cloud energy storage?

In the future, the cloud energy storage platform has broad applications in optimizing the dispatch of small devices on the user side. The existing research on cloud energy storage mainly focuses on resource planning and scheduling and economic optimal allocation, and there are few researches on user-side distributed energy storage.

What is a cloud energy storage integrated service platform?

The cloud energy storage integrated service platform is a cloud energy storage ecosystem built based on battery energy storage, combined with advanced technologies such as the Internet of Things, 5G, big data, cloud services and blockchain.

What is cloud energy storage service mechanism business process?

Cloud Energy Storage Service Mechanism Business Process. The advantage of the cloud energy storage model is that it provides an information bridge for both energy storage devices and the distribution grid without breaking industry barriers and improves the efficiency of energy exchange.

How does a cloud energy storage platform work?

The distribution network confirms the order and the cooperation between the two parties is reached. The platform service provider records each transaction in the form of cloud storage for subsequent data processing. At this stage, the cloud energy storage service platform, to determine the matching information between supply and demand.

Does cloud energy storage affect demand-side load data?

In this study, demand-side load data were collected before and after the participation of cloud energy storage in power grid FM service, and the comparison results are shown in Fig. 3. The load curve is smoother after optimization compared to before.