1 / 11

iGrid

iGrid. Aron Kondoro – University of Dar- es -Salaam - Tanzania ( awkondoro@gmail.com ) e-Research Summer Hackfest – Catania (Italy). Outline. Problem Proposed Solution: Use case Computing and data tasks Computing and data model Implementation strategy Summary & conclusion.

gibsonl
Download Presentation

iGrid

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


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

  2. Outline Problem Proposed Solution: Use case Computing and data tasks Computing and data model Implementation strategy Summary & conclusion

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

  4. Use Case – 1/2 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

  5. Use Case – 2/2 Scope • Power requirements analysis • Power harvesting solutions • Storage techniques • Control systems • Reliability and robustness • Monitoring and maintenance Challenges • Choice of communication technologies • Control architecture • Big data handling

  6. Computing and data tasks 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

  7. 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

  8. Implementation strategy – 1/2 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 • Data manipulation components i.e. GeoData, GIS • Performing load flow analysis – integrating simulation tools • Sharing models

  9. Implementation strategy – 2/2 Implementing web interface of iGrid SG • Liferay-based • Skeleton with all sections for tools for different stages Setting up use case infrastructure – deploy virtual machine • Instantiating, installing, configuring the iGrid SG web portal Creating an instance of gLibrary with a sample collection Cloning an instance of OAR Installing and configuring Kepler

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

  11. Thankyou! sci-gaia.eu info@sci-gaia.eu

More Related