Data management and visualization for cluster-based grid operations
| Autor: | Egon Ortjohann, J. Kortenbruck, D. Holtschulte, T. Premgamone, S. Leksawat, Danny Morton, A. Schmelter |
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| Rok vydání: | 2017 |
| Předmět: |
business.industry
Computer science 020209 energy Distributed computing Data management Interoperability 02 engineering and technology Grid Visualization Data visualization Smart grid Embedded system Scalability 0202 electrical engineering electronic engineering information engineering business Cluster analysis |
| Zdroj: | 2017 6th International Conference on Clean Electrical Power (ICCEP). |
| DOI: | 10.1109/iccep.2017.8004819 |
| Popis: | The concept of smart grids has been widely introduced to cope with energy transition towards sustainable energy, which results in decentralization of the energy supply. Among various solutions to accomplish the smart grids, clustering power systems approach (CPSA) is proposed. This approach creates active decentralized areas in the form of interconnected cluster areas equipped with their own controller. The CPSA can be flexibly applied at any grid level in a manner that enables consistency in both grid structure and control. In this paper, to facilitate implementation of the CPSA, a data management infrastructure is proposed for the controller. It enables scalability, interoperability, and flexibility to the cluster area applications. In addition, to support users in monitoring of the cluster areas, data visualization on the web-based graphical user interface of the controller is presented. Lastly, a demonstration of applying the data management and data visualization is delivered. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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