Using large-scale local and cross-location experiments for smart grid system validation

Abstract

Abstract-For robust testing of new technologies used in future, intelligent power and energy systems, realistic testing environments are needed. Due to the dimensions of a real-world environment a field-based installation is often not viable. More efficient instead of a local installation is to connect existing and highly sophisticated labs with different focus of specialization. Today's experimental setups for the Smart Grid domain are very time-consuming solutions or specific implementations for a single project. To overcome this challenge, an innovative concept for a novel approach for large-scale co-simulation across locations (different labs) is presented in this paper.

Smart Grids Co-Simulations: Survey & Research Directions

“…The complexity of the modern smart power distribution network, the Smart Grid (SG), presents key challenges for the systems being developed. The plethora of technologies, communication protocols, and algorithms requires integrated approaches for system development, testing and validation (Buscher et al, 2015). One solution to tackle such complexity is to use simulations to test different scenarios and interactions with the environment-such as modelling renewable production and energy pricing interactions in microgrids (Luo et al, 2018;Hwang et al, 2017).…”

“…Furthermore, such simulations have to be contextualized to SG testbeds experiments (Cintuglu et al, 2017), large infrastructures for testing of SG components in terms of both functional and non-functional requirements. To conduct such large-scale experiments, multiple locations can be used and thus be part of the experiment (Buscher et al, 2015). Communication across large distances and multiple hardware / software solutions, can bring even more stringent real-time and synchronization challenges (Buscher et al, 2015).…”

“…To conduct such large-scale experiments, multiple locations can be used and thus be part of the experiment (Buscher et al, 2015). Communication across large distances and multiple hardware / software solutions, can bring even more stringent real-time and synchronization challenges (Buscher et al, 2015).…”

Cross-infrastructure holistic experiment design for cyber-physical energy system validation

“…Due to the dimensions and the costs of realistic testing environment, one single local validation in only one research infrastructure is often not feasible, due to lack of expertise or equipment. An adequate approach is connecting already existing and established laboratory infrastructures with complementary focus of specialization and facilities [4]. Such a setup would provide the possibility to reflect the real CPES as close as possible, to efficiently exploit the research infrastructures and to rapidly transfer new developments .…”

Laboratory infrastructure driven key performance indicator development using the smart grid architecture model

“…Therefore, it is of critical importance to formulate KPIs that do not depend on the peculiarities of individual laboratory setups and capabilities, in order to ensure that the results are comparable. This is a challenging task; for example, many relevant indicators of power system control performance, such as the rate of change of frequency during disturbances, are linked to time constants, which are highly specific to the system inertia, unit capabilities and signal delays inherent to the physical power system being measured [3][4][5].…”