![]() ![]() The data-intensive network topology processing (NTP) is implemented, and demonstrated for six IEEE test networks and one practical 400 kV Maharashtra network. An integration of CIMGDB and power system applications is discussed by an implementation architecture. A CIM based object-graph mapping (OGM) methodology is proposed to automate the process. Therefore, the CIM semantics needs to be added to the artifacts of GDB for every instance of CIM objects storage. The CIMGDB does not need a predefined database schema. ![]() Three significant advantages of the CIMGDB are: 1) efficient data retrieval and storage, 2) agility to adapt dynamic changes in CIM profile, and 3) greater flexibility of modeling CIM unified modeling language (UML) in GDB. This paper presents a design of CIM oriented graph database (CIMGDB) for storing and processing the largely connected-data of power system applications. The graph database is gaining wide acceptance for storing and processing of largely connecteddata for various applications. As the power network models resemble largely connected-data sets, the design of CIM oriented database has to support high-speed data retrieval of the connected-data and efficient storage for processing. Storing, processing, retrieving and providing concurrent access of the large power network models to the various power system applications in CIM framework are the current challenges faced by utility operators. Over 95\% of substation OLNDs are decently presented and the rest are corner cases, needing extra effort to do specific reconfiguration.ĬIM is widely adopted by many utilities since it offers interoperability through standard information models. Evaluation of the proposed approach is presented using a real provincial power system. ![]() This tool takes the substation CIM/E model as input, then automatically computes the coordinates of all components and generates the substation OLND based on its components attributes and connectivity relations. This paper presents a tool on substation OLND automatic generation and visualization. Besides, the substation layouts can be altered from the typical formats in textbooks based on factors of economy, efficiency, engineering practice, etc. Currently, there is no standard rule to draw the substation OLND. To save the time and efforts to draw and maintain OLNDs, and provide the capability to share the OLNDs, a tool to automatically develop substation based upon Common Information Model (CIM) standard is needed. Meanwhile, the manually created diagrams are hard to be shared among the on-line and off-line systems. The work is tedious, time-consuming and ease to make mistake. Large-scale power system OLND is usually manually developed and maintained. In Energy Management System (EMS) applications and many other off-line planning and study tools, one-line diagram (OLND) of the whole system and stations is a straightforward view for planners and operators to design, monitor, analyze, and control the power system. Many papers are analyzed and the issues are classified into CIM extension, harmonization, and validation to address the issues that arise when establishing an integrated information exchange system. This paper aims to offer a comprehensive understanding by summarizing and categorizing the research on the practical use of CIM for interoperability in smart grids. However, as CIM provides a basic framework for information exchange, various practical issues arise in establishing an energy management system capable of exchanging information using CIM. CIM provides a robust framework for accurate data sharing, merging, and transformation into reusable information. The international electrotechnical commission has established the Common Information Model (CIM) tool, which is a standard application programming interface for the exchange of semantic information in power systems. To achieve interoperability, it is required to exchange the semantic information within the different domains. Smart grids with interoperability improve grid reliability by collecting system information and transferring it to an energy management system and associated applications through a seamless end-to-end connection.
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