Laboratory Infrastructure Driven Key Performance Indicator Development Using the Smart Grid Architecture Model

This paper presents a methodology for collaboratively designing laboratory experiments and developing key performance indicators for the testing and validation of novel power system control architectures in multiple laboratory environments. The contribution makes use of the smart grid architecture model (SGAM) as it facilitates the integration of individually developed control functions into a consolidated solution for laboratory validation and testing. The experimental results obtained across multiple laboratories can be efficiently compared, when the proposed methodology is adopted and thus the paper offers means of support for improved cooperation in smart grid validation and round robin testing.