基于GSIG的分布式电源信息采集模型
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高 强(1960-),男,博士,教授,研究方向为电力通信网、信息处理;

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Research on information acquisition model of distributed generation based on GSIG
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    摘要:

    随着能源互联网的提出,分布式电源将成为电网的重要组成部分,大量处于疏管状态的分布式电源将会给电网造成不可估量的影响。结合地理空间信息网格对分布式电源信息采集进行了研究。利用现有电力基础设施以降低开发成本为前提,给出了基于地理空间信息网格的分布式电源信息采集服务模型,分析了各层功能。解决了分布式电源信息采集面临的多源异构与互操作问题。并与现有方案进行对比,分析了模型的优越性。最后,在搭建的实验平台上进行状态信息统计、发电能力预测功能实验,并对该模型数据处理能力做出分析与测试。

    Abstract:

    With the development of smart grids, distributed generation will be an increasingly important part of the grid. Distributed generations which lack of management will lead to heavy losses. Combining with geospatial information grid, the paper carries out research of information acquisition for distributed generations. To begin with, the use of existing power infrastructure to reduce development costs as the precondition, the information acquisition model of distributed generation based on GSIG is given, and functions corresponding to different layer are analyzed. Besides, problems of multi-source heterogeneous and interoperability during information acquisition are tackled. And compared with the existing schemes, the superiority of the model is analyzed. At last, in the experimental platform, the function of real time statistics and power generation capability prediction is carried out, and the real time analysis and simulation of the model are tested.

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高强,王霖.基于GSIG的分布式电源信息采集模型[J].电力系统保护与控制,2016,44(5):55-59.[GAO Qiang, WANG Lin. Research on information acquisition model of distributed generation based on GSIG[J]. Power System Protection and Control,2016,V44(5):55-59]

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历史
  • 收稿日期:2015-06-03
  • 最后修改日期:2015-12-04
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  • 在线发布日期: 2016-02-26
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