iGrid Aron Kondoro – University of Dar-es-Salaam - Tanzania (awkondoro@gmail.com) e-Research Summer Hackfest – Catania (Italy)

Use case implementation stages Use case requirements Outline Problem Goal Use case implementation stages Use case requirements Computing and data Model Implementation strategy Summary & conclusion

Access to reliable and affordable electrical power supply for all Scientific problem Access to reliable and affordable electrical power supply for all Increase generation Extend access Traditional means => poor delivery reliability SCADA Intelligent Meters

Improve efficiency + optimize operational costs Use Case Design and demonstrate a prototype of an autonomous solar-powered LVDC nanogrid prototype, Serving an off-grid community of 10-100 households Can also be integrated in a higher voltage AC/DC grid if needed Automation of Monitoring Evaluation Analysis Control Management Improve efficiency + optimize operational costs

Scope Challenges Use Case Power requirements analysis Power harvesting solutions Storage techniques Control systems Reliability and robustness Monitoring and maintenance Challenges Choice of communication technologies Big data handling

Computing and data requirements Monitoring & Measurement Technologies PMU, GPS, Sensors A lot of real time data – BIG DATA Performance Analysis Tools Load flow analysis – peak load conditions, off-peak, components Models and algorithms Stability Analysis Tools Modeling power generation from varying resources (solar/wind) Voltage stability study algorithm Computation Tools Optimization – artificial intelligence, heuristics, neural networks Simulation Tools

Computing and data model PMU Measurements Bus voltage, bus current, phase, frequency, location Location Information KML, satellite imagery Optimization algorithms Neural networks, AI, heuristics Modeling Tools Power generated (I-V) from RER e.g. PV-DesignPro

Implementation strategy FutureGateway framework To implement an iGrid Gateway Provide a way to integrate tools for various stages of smart grid design Indigo DataCloud Computing resources gLibrary Provide easy access to collection of grid information i.e. topological information etc Open Access Repository Sharing publications, sensor data, analysis documents Kepler Workflow Manager Sharing grid configuration models Performing load flow analysis

Implementation strategy Implementing 1st draft of iGrid SG Skeleton with all sections for tools for different stages Provisioning & Configuring Indigo Virtual Machine Creating an instance of gLibrary with a sample collection Cloning an instance of OAR Installing and configuring Kepler

Summary and conclusions Using tools to facilitate collaboration Integrating tools to facilitate Design Validation Deployment Operation Maintenance … of LVDC nanogrid

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