Smart Grid Modelling
Under the leadership of Brookhaven National Laboratory (U.S.), SIRFN has developed an online platform for a model-centric approach to smart grids. Using an integrated system model (ISM) that captures a one-to-one replica of real utility systems and a new approach to analysis called graph trace analysis (GTA), the modelling platform allows smart inverter testing and similar assessments to be performed using a holistic systems perspective that reveals the effects of technology deployment and interaction at scale without many of the costs of larger-scale field experiments. The results could be used, for example, for analysis of alternative smart grid investments. With the goal to develop an international community of practice for this approach, Brookhaven National Laboratory has begun a series of in-depth trainings for India’s Central Power Research Institute on the use and programming of the model.
Power System Testing
Previous experience reveals that power components testing is not enough to ensure system reliability and security.
A component that successfully passes a lab test might not behave as expected when integrated with other technologies in a real grid. As automated actions gain importance in grid systems, the interactions among control strategies must be understood. Failure in components and grids have already been reported in these increasingly complex, interdependent systems. To address this, systems-level testing is needed. Under the leadership of Fraunhofer IWES (Germany), SIRFN participants are working together to define the appropriate laboratory infrastructure and testing requirements for a systems-level testing approach. The approach entails identifying a set of relevant use cases, specifying the corresponding testing needs and then mapping this to the state-of-the-art testing capabilities and infrastructure. The outcome should be a common view on future testing needs in power systems and guidelines for future laboratory developments.