Abstract
As a result of the energy transition, an increasing number of Decentralized Energy Systems (DES) will be installed in the distribution grid in the future. Accordingly, new methods to systematically integrate the growing DES in distribution power systems must be developed utilizing the constantly evolving Information and Communication Technologies (ICT). This paper proposes the Automated Data Model Integration of DES (ADMID) approach for the integration of DES into the ICT environment of the Distribution System Operator (DSO). The proposed ADMID utilizes the data model structure defined by the standard-series IEC 61850 and has been implemented as a Python package. The presented two Use Cases focus on the Supervisory Control and Data Acquisition (SCADA) on the DSO operational level following a four-stage test procedure, while this approach has enormous potential for advanced DSO applications. The test results obtained during simulation or real-time communication to field devices indicate that the utilization of IEC 61850-compliant data models is eligible for the proposed automation approach, and the implemented framework can be a considerable solution for the system integration in future distribution grids with a high share of DES. As a proof-of-concept study, the proposed ADMID approach requires additional development with a focus on the harmonization with the Common Information Model (CIM), which could significantly improve its functional interoperability and help it reach a higher Technology Readiness Level (TRL).
Highlights
The energy transition is currently playing an important role in the fight against global warming
There are plenty of studies handling this issue; the authors of [21], for example, addressed new challenges for the modeling; in [22], the smart data architecture was outlined based on several research projects; the contents of [23] give us an overview on essential subsystems of a smart grid system, including the energy system, information system, communication system, management system and protection system
The operators associatedare mapping logics aare to beDAs denoted assource operations where the logical underlined, si represents in the 61850 variables provided by the parsing logic; gi specifies the RDF/XML information object definitions given by Experimental Distribution Control Center (EDCC); pi implies the parameters configuration of a certain Data Attributes (DA); ci refers to the Common Data Classes (CDC) and Functional Constraint (FC) constraints given by the IEC 61850 definition; and V and L(G) in the where condition indicate the rules for the information transformation between S and G
Summary
The energy transition is currently playing an important role in the fight against global warming. A future power supply system adopting smart grid technologies will no longer be organized in the same way as traditional physical systems as a result of this significant technological evolution, but in the form of a cyber-physical system (CPS) as described in [6] During this transition process, the whole energy branch is confronted with various new challenges, where participants on all voltage levels are more or less involved. The proposed ADMID was implemented in a Python framework and has been demonstrated for the integration of IEC 61850-compliant DES data models into an experimental DSO grid control center, which is located in the Smart Grid Laboratory at the. ADMID approach utilizing comprehensive IEC 61850 DES data models, which automatically integrates the DES information model into DSO SCADA, enables the telecommunication to the integrated DES, and provides grid operators with GUI for the measurement visualization and control commands; this can facilitate the DES integration process in future distribution grids.
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