基于GSIG的分布式電源信息采集模型研究
[Abstract]:With the development of the concept of energy Internet, distributed power generation will become an important part of the future energy Internet, and a large number of distributed power sources in the open state will cause incalculable consequences for large power grids when they are connected to the grid. The existing methods are difficult to meet the information management needs of hundreds of millions of distributed power sources in the future, so a new method is needed to manage distributed power sources. Geospatial information grid is a hot research topic in the field of international spatial information. Its main idea is to share and work together high performance multi-source heterogeneous resources in distributed network environment by forming loosely coupled autonomous nodes. In this paper, based on the investment of power system infrastructure in China, the information collection of distributed power source is studied, and a five-layer service model of distributed power information acquisition based on geospatial information grid is proposed, and the functions of each layer are analyzed. In the resource layer, the unified description of distributed power grid resources is realized by extending the grid resource model (GLUE), which provides the foundation for resource discovery services. In the structure layer, a kind of service registry pool is designed by using super P2P structure, which improves the efficiency of grid resource discovery, according to this model, the architecture of distributed power information collection and simulation experiment system is given. The main function modules of the simulation experiment system are analyzed, and the grid service interface of each function module is designed. Finally, On the platform of distributed power information acquisition and simulation, the function of state information statistics and power generation prediction of distributed power supply is designed and carried out, which verifies the validity of the model. At the same time, the data processing ability of the model is analyzed, and the results show that the data processing ability of the model is improved obviously.
【學(xué)位授予單位】:華北電力大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2016
【分類號(hào)】:TN86
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