基于GSIG的分布式电源信息采集模型研究

发布时间：2018-07-28 11:25

【摘要】：随着能源互联网概念的提出,分布式电源将成为未来能源互联网的重要组成部分,而大量处于疏管状态的分布式电源并网发电时会给大电网造成不可估量的后果。现有方法难以满足未来数以亿计的分布式电源信息管理需求,因此需要一种新的方法对分布式电源进行管理。地理空间信息网格是当前国际空间信息领域的研究热点,其主要思想是在分布的网络环境中通过形成松散耦合的自治节点实现高性能的多源异构资源共享与协同工作。本文结合我国目前电力系统基础设施的投入情况,对分布式电源信息采集进行了研究,提出了基于地理空间信息网格的分布式电源信息采集五层服务模型,分析了各层功能。其中,在资源层通过对网格资源模型GLUE的扩展,实现了分布式电源网格资源的统一描述,为资源发现服务提供基础。在构造层,采用超级P2P结构设计了一种服务注册中心池,提高了网格资源的发现效率;根据该模型,给出了分布式电源信息采集仿真实验系统架构,分析了仿真实验系统的主要功能模块,并对各个功能模块网格服务接口进行了设计;最后,在分布式电源信息采集仿真实验平台上设计并进行分布式电源状态信息统计和发电量预测功能实验,验证了模型的有效性。同时,对该模型的数据处理能力进行分析,结果表明该模型下的数据处理能力明显提升。
[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.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TN86

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