1. AGENT-BASED APPROACH FOR ELECTRICITY DISTRIBUTION SYSTEMS University of Jyväskylä University of Vaasa Acknowledgements: Industrial Ontologies Group

2. Application area of Electricity Distribution Systems Fault occurs in the primary process Operator receives this information and performs the control operations needed

3. MicroSCADA Pro Control System SYS 600 Electricity network nodes IEDs MicroSCADA Pro Distribution Management System DMS 600 Network Control Center Process displays Alarm Lists Event Lists Trends Existing system Web aware system Weather condition Geo information (map of area) Context Information Providers Operator dashboard Decision making Fault Location algorithm 1 WebServices for DMS 600 Fault Location algorithm 2 Disturbance file information WebServices for SYS 600 Web aware Electricity Distribution System

4. Operator dashboard, Web based Human System Interface See Online demonstration: http://ttwin.techno.uwasa.fi/Dashboard Features: To assist decision making Integrating information from different sources Integrating different application (Disturbance Draw) Displaying information in suitable for the Operator: user profile positioning context device context Requirements for the underlying software products: Open application programming interfaces (APIs) to integrate other applications Web aware to enable WebServices Location information of objects (feeders, substations etc.) should be accessible via some standard format The base of maintenance team N1100 http://support.abb.com/1100 List of fault events: Substation 486900730080M1 has fault Substation 477902467309M1 has fault Events Picture Annotation Substation Data

5. MicroSCADACOMTRADE Device Agents DeviceResources Expert Agents Operator Dashboard Web service (Algorithm1) Web service (Algorithm2) Context information Providers Weather condition Geo information (map of area) ServiceResources Fault Location web services GUN Service Agents ExpertResources Global Understanding Environment (GUN) platform Features: Enables interfacing heterogeneous resources devices services systems human experts documents Arranges interaction between these resources web-accessible proactive cooperative Layers of GUN architecture: resource adapter agent

6. Directory Facilitator Operator Fault Localization Service Network Structure Storage Ontology Risks Alert Service Geo Data Service Entities in the prototype of Electricity Distribution System Feeder

7. Summary, Conclusions and Future work Summary: GUN platform was used as a future test bed for electricity distribution system Possible scenerios for importing and exporting information between different domains were recognized Utilizing the learning capabilities of agents, e.g. faults of the power network and their solutions can be shared between the agents Conclusions: Interoperability, automation and integration features of GUN platform were utilized Context information supports expert (Operator) in decision making process Dashboard hides the underlying applications and WebServices that provide the online information Future work: More complicated features of agents and their collaboration in Multiagent system (MAS) Whether some more information is needed, contact: marko.viitala@fi.abb.com Thank you!