Millions of points of measurement Dense spatial and temporal data Need visual analytic tools as conventional analyses are too inefficient Visualization.

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Presentation transcript:

Millions of points of measurement Dense spatial and temporal data Need visual analytic tools as conventional analyses are too inefficient Visualization supports knowledge discovery Intelligent, parallel monitoring algorithms Decision making through expert system engine Not just metrology but significant network traffic Cyber-security, anomaly/intrusion detection … sPMU... … … Smart meters sPMU 30 smart meter microgrid currently under developed at Purdue

Voltage Power factor Energy usage Network statistics Other data Use image processing and pattern recognition techniques for aggregate analysis of multiple data layers Parallel processing such as artificial neural networks, software agents Visual analytics is optimal since humans have a natural strength in visual processing

New lab under development with 30 smart meters for simulation of microgrid information networks Cyber-security on microgrids, network architectures Application development, load management Data analysis and collection techniques Other labs include Power electronics labs for motor drives, inverters, solid state transformers Rotating machines development lab PEV lab for research in incorporating EVs Rooftop solar power microgrid on campus integrated to building energy system HVAC Shipboard scale DC microgrid DoD ESTCP Microgrid Project