On the Use of Common Information Model for Smart Grid Applications — A Conceptual Approach
On the Use of Common Information Model for Smart Grid Applications — A Conceptual Approach
复制标题
关于智能电网应用通用信息模型的使用——一种概念方法
DOI：
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发表时间：
2021
影响因子：
9.6
通讯作者：
Gabriele Morgante
中科院分区：
文献类型：
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作者：
Kamal Shahid;Karthikeyan Nainar;R. Olsen;F. Iov;M. Lyhne;Gabriele Morgante
低压配电网中来自不同数据源的数据集成对于配电系统运营商(DSO)具有重要意义。用户端的电能测量需要与电网拓扑、线路参数等其他数据一起处理，以部署实时电网监控和电压调节等智能电网应用程序(SGA)。对数据服务组织来说，最具挑战性的任务是收集和整合来自多个来源的数据，因为数据管理涉及多个实体，而且对数据库的访问受到限制。本文提供了一个操作<；粗体；E<；/粗体&>n公共信息<；内联公式&>；<；文本数学符号=“LaTeX”>；${M}$<；/文本-数学符号=“LaTeX”>；${R}$<；/内嵌-公式；odel(CIM)<；斜体；BA<；/italic>；sed SMA<；内联-公式&>；<；文本-数学符号=“Laex”>；${R}$<；/tex-ath；<；/inline-form>；t网格应用程序框架；inline-form>；<；tex-ath notation=“LaTeX”>；${K}$<；/tex-ath&>(<；italic&>t；)，以应对上述挑战。<；italic&>/italic>；是一种高效、模块化和可扩展的体系结构，用于从各种资产管理数据库中提取与网格相关的信息。一种新颖的数据管理功能是<；italic&>Bookk<；/italic&>的一部分，支持以数据驱动的方式更新智能电网应用程序背后的算法的设置和参数。利用丹麦一家中型配电网运营商的电网数据进行了验证和数值验证。本文提出的体系结构可以支持从规划到实际运行的所有阶段，即自动建立模型以执行潮流、电网影响研究、规划、资产管理等。
Data integration from heterogeneous data sources in low-voltage (LV) power distribution grids will be valuable to distribution system operators (DSOs). The power measurements from customer premises need to be processed with other data such as grid topology, line parameters etc., to deploy smart grid applications (SGA) such as real-time grid monitoring and voltage regulation. The most challenging task for DSOs is to collect and integrate data from several sources as several entities are involved in the data management and access to databases are restricted. This paper presents an op<bold>E</bold>n common information <inline-formula> <tex-math notation="LaTeX">${M}$ </tex-math></inline-formula>odel (CIM) <italic>BA</italic>sed sma<inline-formula> <tex-math notation="LaTeX">${R}$ </tex-math></inline-formula>t grid application framewor<inline-formula> <tex-math notation="LaTeX">${K}$ </tex-math></inline-formula> (<italic>EMBARK</italic>) to address the above-mentioned challenge. <italic>EMBARK</italic> is developed to be an efficient, modular and scalable architecture for extracting relevant grid related information from various asset management databases. A novel data management functionality is a part of <italic>EMBARK</italic> that enables data-driven update of settings and parameters of the algorithms behind smart grid applications. The proposed approach is demonstrated and numerically validated using grid data from a medium-sized distribution grid operator in Denmark. The architecture developed and presented in this paper can support all the phases from planning to the actual smart grid operation, i.e., automatically building the models to perform load flows, grid impact studies, planning, asset management etc.