Font Size: a A A

Microgrid Energy Monitoring And Dispatching System Based On Ali Cloud

Posted on:2017-02-08Degree:MasterType:Thesis
Country:ChinaCandidate:Z H HuFull Text:PDF
GTID:2272330503485063Subject:Pattern Recognition and Intelligent Systems
Abstract/Summary:PDF Full Text Request
Microgrid consists of distributed generation, energy storage devices, control devices, load and other devices, which is a important way to make use of renewable energy generation. Without the support of large grid, the inertia of the stand-alone microgrid is small. The output power fluctuations of some renewable energy such as solar and wind, will impact the stability and power quality of the microgrid system. But the real-time monitoring and dispatching for microgrid energy is an effective means to solve this problem. In addition, with the rapid development of the Internet, people’s lifestyle has changed greatly, and this also provides a new solution for the real-time monitoring of microgrid. Based on the above two points, this paper designs a energy monitoring and dispatching system for microgrid which based on Ali cloud.First of all, combined with distributed generation forecasting, this paper proposes a energy management strategy based on fuzzy control and nonlinear optimization. The strategy uses optimization method to control energy storage devices, distributed generation and other devices according to their characteristics, can achieve security and stability operation, and can improve energy efficiency at the same time.Then, with the help of Ali cloud platform, this paper designs a monitoring and scheduling system. System consists of three parts which are intelligent hardware module, cloud server and remote client. Intelligent hardware module is responsible for data collection and uploading device data to the cloud server directly. The main work of cloud server is data processing and storage, and providing background services for the remote client which includes mobile client and browser. Users can view the real-time device data through remote client, and can manually dispatch devices if users upload instructions to the cloud server. And this paper finally migrates energy management strategy to the cloud server, then users can automatically dispatch devices according to needs.
Keywords/Search Tags:microgrid, energy management, monitoring, cloud
PDF Full Text Request
Related items