Study On Knowledge Visulization Engine Of Smart Grid

Smart Grid is one of the main development direction of power grid in the future, which is considered as major technological innovation and development tendency in the 21st century. Smart-Grid technology includes advanced phasor measurement technique and widearea measurement technology; advanced three-dimensional dynamic visualization technology; Distributed Power Generation Systems and Electric Power energy management etc.A kind of advanced technology of 3-Dimension and dynamic visualization based on knowledge is different from the traditional 2-D or 3-D display mode, the advanced technology which is based on material objects, creats 3-D virtual models of electrical equipment in the smart grid and replicates real world scenarios realisticly in order to give people a visual impact and make the information expression of power system so real, rich, specific and accurate. From the static data processing to dynamic, graphical development, fundamentally, it guarantees the stable operation of the power system. In this paper, the following research has been done in the smart grid visualization.⑴The ''smart power grid knowledge visualization engine'' architecture is designed. It makes a deep research on the weak opennesses and difficulties for a new development and system integration with the traditional visualization system and suggestes a architecture that based on SOA knowledge visualization engine. It makes the massive data integration, mining, mapping, virtually shows in the smart power grid using the konwledge reasoning function of the engine. What's more, it integrates the functional modules in a component way so that the developers don't need to care about the details of key technology realizing the knowledge visualization, making it possible to use the engine as a core implement to develope a variety of visualization system in the smart power grid, thus greatly reducing the developer's work and difficulties and speeding up the construction of the smart power grid visualization, effectively solve the problem -- ''information islet'' in many power enterprises.⑵The method of the knowledge extraction in the smart grid is presented in this paper. With the deep analysis of the features of massive data-flow of power grid and historical data, the classification model of knowledge is designed in accordance with the characteristics of themselves and the extraction method of knowledge is presented.For the flow of data, it proposes a sliding window model, discretes wavelet transform and improves SSWAT (approximation tree) algorithm to preprocess and selects sample set according to the flow of the data which has been preprocessed. Then it establishes condition attributes and decision-making table discernibility matrix with running knowledge unit according to the formation of grid. The completion of knowledge inference bases on the establishment of a mathematical model which relys on PFCM. For historical data, the paper introduces E-Grp algorithm for data pre-processing; and adopts improved Apriori algorithm and decision-tree algorithm to complete the extraction of association and predictive knowledge of the power system.⑶A model of knowledge three-dimensional visualization based on Integration Model is proposed. It visualizs the characteristics of applications for the power system, proposes the establishment of carrier based on the pixel visual, and uses the improved BP neural network algorithm for the integration model of texture feature extraction and model generation; It also proposes the scene organization method based on electrical characteristics and the dynamic load balancing algorithm based on space division, So that it achieves a virtual reality interaction mechanism based on semantic understanding .⑷The control mechanism of knowledge visualization engine which based on software service bus is design.Service bus includes Transport Adapter,Service Adapterr,Core Service,MetaData Base and System Management.They divide service granularity,distribute service,find service and bind service which cooperate each other is to accomplish the whole operation.⑸The substation experiment system of knowledge visualization which based on the knowledge-visualization engine of smart grid is developed. Application results show that on the one hand, the knowledge visualization engine improve the visualization of a smart grid-related application systems development efficiency, on the other, it transfomrs data that is from the bottom of the power grid operation into knowledge. At the same time,the knowledge is shown by three-dimensional images that are based on virtual reality technology. The engine make easy monitoring and maintenance of power system monitoring.