SMART GRID PROJECTS, RESULTS AND LESSONS LEARNED
Business applications - smart controllers
- Case study – Smart Grid Agri Project California, USA
- Project – Modular smart grid for business parks
- Project – Smart heat grid on TU Delft campus
- Position Paper University of Denmark
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Electrical vehicle & transport
Internet of Things (IoT) connects the city
SMART GRID MODELS
EU Power Dispatch
The Model can be defined as a minimum cost dispatch model whose optimization is coded in the General Algebraic Modeling System (GAMS) using CPLEX, a high-performance mathematical programming solver from IBM. The off-line input/output data processing is performed using Matlab.
Smart Reloading for grid balance
ResLoadSim is a tool for residential electric load simulation. The program allows predicting residential loads. It uses a probabilistic approach based on statistics to predict the electric load profiles of individual households by summing up all appliances consumption in a household.
Beside using the tool for load prediction it is also possible to study the potential for load shifting in private households by implementing different control mechanisms based e.g. on variable pricing. This is instrumental to evaluate the potential of smart homes in the smart grid, which is important when defining regulations for the future electricity market.
IDE4L FP7 project model
Performance of the grid model is shown through sample real-time simulation results and a hardware-in-the-loop setup for PMU-based grid monitoring applications.
The model was simulated in real-time using the OPAL-RT simulator and was utilized in a hardware-in-the-loop setup to develop grid monitoring applications that exploit PMU measurements.
SGAM Model for Smart Grids
With the Smart Grid Architecture Model (SGAM), Siemens has developed an open standards model whereby power supply companies and industry can display aspects of smart grid systems. The model can be used for the visualization, validation, and configuration of smart grid projects, and also for standardization within smart grids.