2 | Power transmission and distribution networks

The rapid growth of renewable energies and greater emphasis on improving grid sustainability and resilience will require changes in the ways that power transmission and distribution networks are operating. This grid of the future requires advances in transmission and distribution system management with algorithms to control and optimize how power is transmitted and distributed through the grid. However, the development of these algorithms is challenging due to the lack of high-fidelity, public, and large-scale data that realistically represent current and evolving grid properties. The proposed use case for an open-access repository of power systems models and data will enable more productive research collaborations. On a higher level, it improves the integration of renewable electricity onto the grid, which would help reduce reliance on carbon-emitting, fossil fuel generation. This use case goal is mimicking the characteristics of the actual electric grid without disclosing sensitive information. Existing FAIRification and opening activities EERAdata builds on are a) Creating a library of publicly available test data from prominent power system related organizations such as IEEE, the United States Department of Energy, and the International Smart Grid Action Network (ISGAN). The Repository pulls together grid models and related test data from across the utility industry to improve community access. Relevant data could also be coming from the European Network of Transmission System Operators (ENTSO-E) as well as from the Open Power System Data Platform. b) Validate use cases and the associated data toward the proposed EERAdata FAIR/O ecosystem especially on the impact of renewable energy on the low carbon energy system transformation. Multiple scenarios for data validation will be taken into account.

Name of database Type of metadata provided Extend of metadata provided Level of implementation of FAIR/O principles Frameworks for metadata used Technical implementation of metadata
OPSD Administrative 100%, Descriptive 100%, Structural 100% Rich F1 100% – F2 100% – F3 100% – F4 100% / A1.1 100% – A1.2 20% – A2 100%/ I1 100% – I2 100% – I3 100% / R1.1 50% – R1.2 100% – R1.3 100% Taxonomy xml, plain text, RDF, xml, csv, json, jupyter, etc.
EIA Administrative 80%, Descriptive 100%, Structural 100% Medium F1 50% – F2 50% – F3 30% – F4 50% / A1.1 100% – A1.2 20% – A2 50%/ I1 100% – I2 100% – I3 50% / R1.1 50% – R1.2 50% – R1.3 100% Taxonomy xml, csv, text, PDF
PSE Administrative 80%, Descriptive 90%, Structural 100% Medium F1 50% – F2 50% – F3 20% – F4 50% / A1.1 100% – A1.2 20% – A2 50% / I1 100% – I2 80% – I3 80% / R1.1 20% – R1.2 50% – R1.3 100%. Taxonomy xls, csv, pdf, etc.
ENTSO-E Transparency Platform Administrative 50%, descriptive 50%, structural 50% Medium-Low F1 50 % – F2 50% – F3 20% – F4 100% A1.1 100% – A1.2 100% – A2 50% I1 100% – I2 80% – I3 100% R1.1 50% – R1.2 50% – R1.3 90% Taxonomy csv, xlsx, xml, xml zip, graphs and charts