Study On Big Data Visualization Of Intelligent Dispatching

With the in-depth development of smart grid, we have now entered the age of big data in power industry, the construction of smart grid is facing enormous challenges and opportunities. As the guardian of safe and stable operation in power system, dispatching department have important responsibility for many business in power system, such as monitoring and controlling the operation and management of smart grid, and so on. With the rapid advance of smart grid, big data of power system is approaching, monitoring and controlling business is facing an unprecedented new challenges, new methods of surveillance and monitoring is imperative especially in the era of massive data. In order to detect, identify and control the operation risk, improving level of safe and stable operation and supply high quality, efficient service for the customers perfectly, a research of information visualization in power system dispatching will be given in this paper.First of all, characteristics of the monitoring information is analyzed detailly, which including four important parts (power generation, power transmission, power distribution and power utilization) of power dispatching and operation. Meanwhile, visualization on main electric components (generators, power plants, transformers, substations, lines and so on) of intelligent dispatching is given; After that, bad flow data identification with the minimum flow algorithm and corresponding visualization is proposed on the basis of the existing problem of bad data in dispatching system, which complete visualization analysis of bad power flow. And then, on account of visual contrast analysis on the multiple schemes of power flow, visual comparison based on single line diagram is put forward, which give rapid judgment on appropriate operation and emergency handling plan-making by offering comparison results of each power flow calculation ways in time. Examples prove that the three solutions in this paper (visualization on main electric components of intelligent dispatching, visualized analysis of bad power flow and visualized contrast analysis of the multiple power flow) approach for big data visualization of intelligent dispatching have some particular consulting significance to it, which is clear, intuitive, multiple and efficient.