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Distributed Intelligence Provides Self-Healing for the Grid Session 5 Paper 1199.

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Presentation on theme: "Distributed Intelligence Provides Self-Healing for the Grid Session 5 Paper 1199."— Presentation transcript:

1 Distributed Intelligence Provides Self-Healing for the Grid Session 5 Paper 1199

2 Frankfurt (Germany), 6-9 June 2011 Distributed Intelligence  Distributed Intelligence makes sense: Traditional centralized generation and one-way power flow model is changing Traditional centralized generation and one-way power flow model is changing Distributed Energy Resources will connect at distribution voltages Distributed Energy Resources will connect at distribution voltages Local logic for bi-directional protection and automation acts on real-time information Local logic for bi-directional protection and automation acts on real-time information Devices are becoming more intelligent and sensing more data. Devices are becoming more intelligent and sensing more data. Onboard computation enables calculations and decision capabilities Onboard computation enables calculations and decision capabilities Old New

3 Frankfurt (Germany), 6-9 June 2011 Smart Switching for the Smart Grid 15 Test 1Test 2Initial Trip Time (sec) Test 1Test 2Initial Trip Fault- Pulses Time (sec) Fault- Pulses Sensors, communications, protection, measurements, standalone or system integrated New Types of switching – “Pulse closing” significantly reduce the damaging impacting of full fault current reclosing – 98% reduction in fault energy RecloserIntelliRuper™

4 Frankfurt (Germany), 6-9 June 2011 Point-on-Wave Closing  Closing angle = 90° (voltage peak) symmetrical fault current Voltage Current

5 Frankfurt (Germany), 6-9 June 2011 Point-on-Wave Closing  A closing angle of 118° after a voltage zero yields an initial minor loop CLOSING ANGLE 118 ° AFTER VOLTAGE ZERO Voltage Current This Is the Pulse!

6 Frankfurt (Germany), 6-9 June 2011 Pulse Closing Energy  Fault I 2 t let-through is typically less than 2% compared to a conventional recloser Fault 1 Fault 2 Fault 3

7 Frankfurt (Germany), 6-9 June 2011 Reclosing Vs Pulse Closing Energy  Conventional reclosers close, or reclose  Close and reclose are the same action three-phase group operated random point-on-wave

8 Frankfurt (Germany), 6-9 June 2011 Conventional Reclosing B Phase Permanent Fault Test 1Test 2Initial Trip Time (Not to Scale) Additional Sht Ccts applied to the system

9 Frankfurt (Germany), 6-9 June 2011 Pulseclosing B Phase Permanent Fault Test 1Test 2Initial Trip Fault- Pulses Time (Not to Scale)

10 Frankfurt (Germany), 6-9 June 2011 Circuit Protection  Station breaker relay curve Min Response Tolerance Breaker clearing time  Downstream interrupting devices Fuses Reclosers  Room for more LARGEST FUSE ON CIRCUIT ON CIRCUIT SUBSTATIONBREAKER MAX CLEAR MIN RESPONSE

11 Frankfurt (Germany), 6-9 June 2011 Protection Setup  Substation relay settings  Enter downstream fuse characteristics  Generate Curve A1 TCCFUSE TCCA1 A2 TCCFUSE

12 Frankfurt (Germany), 6-9 June 2011 Protection Setup  Repeat process until cannot coordinate A1 TCCFUSE A2 A3 TCCFUSETCCFUSE A3 A4

13 Frankfurt (Germany), 6-9 June 2011 Communication Enhanced Coordination  Discrete TCC’s coordinate  Shared Curves could use CEC (future)  Key Elements 100ms minimum response Overcurrent Detect TCCA1 TCCA2 TCCA3 TCCA4100ms

14 Frankfurt (Germany), 6-9 June 2011 PulseFinder  Non-communicating automatic sectionalizing & restoration  Coordination as much as possible  Shared curves for remaining devices

15 Frankfurt (Germany), 6-9 June 2011 PulseFinder  T=0  Fault in segment 5  All PulseClosers with A3 curve trip

16 Frankfurt (Germany), 6-9 June 2011 PulseFinder  T=1 sec  IR-2 pulses

17 Frankfurt (Germany), 6-9 June 2011 PulseFinder  T=1 sec  IR-2 pulses and closes

18 Frankfurt (Germany), 6-9 June 2011 PulseFinder  T=1.5 sec  IR-3 pulses

19 Frankfurt (Germany), 6-9 June 2011 PulseFinder  T=1.5 sec  IR-3 pulses and closes

20 Frankfurt (Germany), 6-9 June 2011 PulseFinder  T=2 sec  IR-4 pulses

21 Frankfurt (Germany), 6-9 June 2011 PulseFinder  T=2 sec  IR-4 pulses and continues PulseClosing test sequence

22 Self Healing

23 Frankfurt (Germany), 6-9 June 2011 Self Healing  Each device is enabled to talk to other team members  Exchange information on voltage, current, status, capacity  With loss of supply the team knows actual system status and reconfigures network to bring on new sources while dropping load if so required according to prioritization  Requires communication between devices, lower latency reasonable bandwidth.

24 Frankfurt (Germany), 6-9 June 2011 Rapid Self-Healing SRC 1 SRC 2 SRC 4 TEAM1 60A TEAM3 70A TEAM4 30A TEAM5 40A TEAM6 60A 100A Max 350A Max 400A Max Normal circuit condition. Note source capacities. Loss of SRC A 0A N.O. SRC 3 TEAM2 120A 260A N.O. IR3 IR9 IR2 IR7IR8 IR6 IR4 IR1 IR5

25 Frankfurt (Germany), 6-9 June 2011 TEAM1 60A TEAM3 70A TEAM4 30A TEAM5 40A TEAM6 60A Rapid Self-Healing SRC 1 SRC 2 SRC 4 100A Max 350A Max 400A Max IR5 senses loss of voltage, opens, and immediately initiates Rapid Self-Healing. 120A 0A N.O. SRC 3 TEAM2 120A 260A N.O. IR3 IR9 IR2 IR7IR8 IR6 IR4 IR1 IR5

26 Frankfurt (Germany), 6-9 June 2011 Rapid Self-Healing SRC 1 SRC 2 SRC 4 TEAM1 60A TEAM3 70A TEAM4 30A TEAM5 40A TEAM6 60A 100A Max 350A Max 400A Max IR8 is chosen as preferred source due to higher capacity. IR5 opens and IR8 closes to restore TEAMS 1, 3, 4, 5, 6. Restoration complete! 120A 260A 0A N.O. SRC 3 TEAM2 120A 0A0A N.O. IR3 IR9 IR2 IR7IR8 IR6 IR4 IR1 IR5

27 Frankfurt (Germany), 6-9 June 2011 Integration with DMS/GIS  Benefits Only maintain one master database: GIS Ensures restoration system in the field is up- to-date with latest field ‘as build data’ System propagates to each team member ie only one needs to be updated

28 Frankfurt (Germany), 6-9 June 2011 Integration with DMS/GIS GIS Database Get connectivity model and device attributes

29 Frankfurt (Germany), 6-9 June 2011 Integration with DMS/GIS GIS Database Daily updates of field work, such as new devices installed, or lines reconductored Automatic daily push of updated circuits Display updated IT-SG configurations for user to acknowledge

30 Frankfurt (Germany), 6-9 June 2011 Integration with DMS/GIS DMS Automatic push of updated circuits Display updated IT-SG configurations for user to acknowledge GIS Database DMS planning functions may desire a new “normal” configuration

31 Frankfurt (Germany), 6-9 June 2011 Layered Intelligence™ Hybrid control systems (centralized and distributed) complement each other: Distributed Intelligence acts in real-time for protection and restoration, takes care of the problem and reports complete status to central system Distributed Intelligence acts in real-time for protection and restoration, takes care of the problem and reports complete status to central system operators can then fine-tune the system operators can then fine-tune the system integrating Distributed Intelligence with centralized integrating Distributed Intelligence with centralized  exchange of information  example: implement “new normal” configuration  turn data (Scada) into information

32 Frankfurt (Germany), 6-9 June 2011 Operational Time frame Centralized Control Distributed Intelligence

33 Frankfurt (Germany), 6-9 June 2011 Systems with distributed Intelligence Smart Switching Energy Storage Communications Substation based Existing Switching Devices: upgrade to distributed intelligence Pad Mounted SCADA switches Status & Data Control Centre

34 Questions?


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