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Implementing Fast Configurable Bolt-On Self-Healing Technology for Distribution Management Systems (DMS)

Implementing Fast Configurable Bolt-On Self-Healing Technology for Distribution Management Systems (DMS) . By Dan Roth – Cooper Power Systems Presented by Stef Budai. Mission Statement.

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Implementing Fast Configurable Bolt-On Self-Healing Technology for Distribution Management Systems (DMS)

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  1. Implementing Fast Configurable Bolt-On Self-Healing Technology for Distribution Management Systems (DMS) By Dan Roth – Cooper Power Systems Presented by Stef Budai

  2. Mission Statement Use all the data available on the power system to improve performance and maximize distribution of real power for profit.

  3. SmartGrid: Technologies

  4. Peer to Peer Architecture Devices communicate directly with each other Mostly proprietary protocols or hardware interfaces (IEC 61850 Goose Messaging changing this) Cycles Reconfiguration possible with some protocols Reconfiguration speed depends on communication infrastructure SCADA integration may require separate communication channel Most solutions have limited scalability

  5. DecentralizedArchitecture Substation Centric Optional SCADA and Communications Backhaul Uses standard SCADA protocols for greater device interoperability and communication flexibility Outside of corporate network firewall The SCADA protocols limit reconfiguration to seconds No ability to acquire data from enterprise level applications (IVVC, DR, etc)

  6. System Availability Redundancy Contingency Redundancy provides greater system availability than Contingency

  7. Centralized “In Line” Architecture Master Substation Centric or extended out of the substation to enterprise level System does not retrieve device data from SCADA , only passes SLAVE protocol data. System may be inside corporate network firewall Processes operational data not used by self-healing automation May use redundant automation platforms for greater system availability

  8. Centralized “bolt on” Architecture No direct communications with line devices, all data passes through SCADA or DMS system Inherently behind corporate firewall Only processes Self-Healing system necessary data for greater data efficiency and scalability No barriers or borders in automation algorithms Simplest integration with other applications such as IVVC, DR, etc

  9. Centralized “bolt-on” System Data Flow

  10. Engineering Tools: Key to Smart Grid • Distribution system is much larger than transmission and changes more frequently • Configurable solutions allow for faster deployment and future alterations • Tools must allow for intelligent communication system diagnostics, event logging, and template driven configuration

  11. Engineering Tools: Simulator • Increases confidence in system alterations • Powerful development & training tool • Software solution uses standard algorithms with configurable user interface & fully functional simulator • Most other solutions have no effective means to test without a complete lab setup.

  12. Conclusions: Centralized Self Healing Architecture • Greatest integration with existing and future technologies • Maximizes scalability with visibility to all devices within SCADA • Maximizes data management by only processing self healing necessary information • Well defined security perimeter within corporate network • Redundancy allows for greatest system availability • Improved engineering tools allows for rapid deployment and secure management

  13. Thank You

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