Integration of clustering power systems approach and data management infrastructure for smart grids

The power generation in power systems nowadays changes from the traditional centralized to contemporary decentralized structure that disperses widely in distribution grids. It results in power generation from the bottom level, i.e. in local area, which is contrary to the traditional centralized power generation that provides power flow in top-to-down direction. A way to handle the impact of power generation in the local area is introduced by using clustering power systems approach (CPSA). The concept of this approach is to enable stabilization of power systems in bottom-up direction from generation units in the distribution grids to the upstream transmission grids. To realize this concept and make it consistent with the emerging smart grid technology, a massive data must be taken into account. Hence, the data management infrastructure for the CPSA is proposed. It is based on the database system and designed for online data management. In addition, the web-based user interface is developed to manipulate data efficiently and achieve concurrently the flexibility in power systems control. Eventually, this paper demonstrates an experiment, a pragmatic real-time simulation of the integration of the CPSA and the proposed data management infrastructure. The focus of the experiment is to prove the application of the data management, and the realization of the cluster concept.