1. OISE Project Optimization and Integration of Electrical Systems

2. Electric Smart Grid: Context/Objectives Distributed Energy Resource Integration of intermittent energy (Solar, wind) Energy Storage and mobility (Electric vehicle batteries, ) Demand/Response ( Peak demand management, dynamic rate) Demand side management 3. Requirements Monitoring, Reporting, Control, Optimization Thanks to Information & Communication Technology : Software, Network, Protocols, Interoperability, Distributed devices, Algorithms 4. State of the Art Centralized production and transport network already very well equipped and monitored Not the case at the decentralized level (distribution network, micro grid, local producer, consumer ) Numbers of smart grid experimentations Information Technology infrastructure ready optimization software are mainly used at the R&D level 5. Existing Works A lot of academic works: optimization (technical or economic criteria) Smart grid experimentations: equipment, energy storage, renewable energy, smart metering Smart Grid Architecture Model (CEN, CENELEC, ETSI) 6. Smart Grid Architecture 7. Approach Provide solutions to implement any use case at any level of the electric grid: Use of communication standards Common data exchange protocols Share of existing functions (open source) Merging the progress of existing works with optimization algorithms distribution 8. Objectives/Deliverables Providing a software integrated development environment for smart grid: interoperable applications, and tools (testing, configuration) Among them targeting most of user cases Service Oriented Architecture