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AGENT-BASED APPROACH FOR ELECTRICITY DISTRIBUTION SYSTEMS. University of Jyväskylä. Acknowledgements:. Industrial Ontologies Group. University of Vaasa. Application area of Electricity Distribution Systems. Fault occurs in the primary process.
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AGENT-BASED APPROACH FOR ELECTRICITY DISTRIBUTION SYSTEMS University of Jyväskylä Acknowledgements: IndustrialOntologies Group University of Vaasa
Application area of Electricity Distribution Systems Fault occurs in the primary process Operator receives this information and performs the control operations needed
IEDs Web aware Electricity Distribution System Existing system Context Information Providers Web aware system Geo information (map of area) Weather condition Operator dashboard Process displays Alarm Lists Event Lists Trends Decision making WebServices for SYS 600 Network Control Center Disturbance file information MicroSCADA Pro Control System SYS 600 MicroSCADA Pro Distribution Management System DMS 600 WebServices for DMS 600 Fault Location algorithm 1 Fault Location algorithm 2 Electricity network nodes
Operator dashboard, Web based Human System Interface Events Substation Data Annotation Picture The base of maintenance team N1100 http://support.abb.com/1100 List of fault events: Substation 486900730080M1 has fault Substation 477902467309M1 has fault • 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 See Online demonstration: http://ttwin.techno.uwasa.fi/Dashboard
Global Understanding Environment (GUN) platform COMTRADE Service Agents Expert Agents Service Resources • 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 Fault Location web services Context information Providers Weather condition Web service (Algorithm1) Web service (Algorithm2) Geo information (map of area) GUN Operator Dashboard Device Agents Device Resources MicroSCADA Expert Resources
Entities in the prototype of Electricity Distribution System Network Structure Storage Operator Geo Data Service Risks Alert Service Fault Localization Service Directory Facilitator Ontology Feeder
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) Thank you! Whether some more information is needed, contact: marko.viitala@fi.abb.com