Improving Fault Response with Real-time Fault Location Analysis through Combined Outage and Advanced Distribution Management
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1 Improving Fault Response with Real-time Fault Location Analysis through Combined Outage and Advanced Distribution Management David Lyons Georgia Power Brad Williams Oracle Kevin Costin - Oracle
2 Southern Company Southern Company serves a 120,000 square-mile territory in Alabama, Florida, Georgia, and Mississippi
3 Southern Company Overview Vertically Integrated Generation / Transmission / Distribution 4 Operating Companies, SoCo Services (IT, HR), Southern Linc (Telecom), Southern Nuclear, Southern Power (wholesale generation) Generation 43,000 MW Coal 68% Natural Gas / Oil 16% Nuclear 15% Hydro, Renewable 1%
4 Georgia Power Company 2.3 Million Customers 153 Counties 57,000 square miles Metro 1.1 Million Customers Outside Metro 1.2 Million Customers
5 Georgia Power Statistics (Distribution and Customer Service) Georgia Power Design, Construct, Operate, and Maintain: 1.8 million poles 800,000 street lights 640,000 transformers 68,000 miles of line 57,000 sq. miles of service territory Serve 2.3 Million Customers(customer = meter) Customer Service and Satisfaction Core Value
6 Background Presentations by other utilities utilizing waveform data to locate faults. GPC s deployment of SEL 351 Relays DEP for watts and Var data Replacement for failing Reclosing Relays
7 The Question Can we replicate the success of using fault values and waveforms to identify fault locations using the SEL 351S fault data?
8 Current System: DCC Operators Static fault values based upon CYME studies are placed in GIS at strategic locations and flow to TCMS model (500 of 2000 circuits completed) DSCADA system pulls fault data directly from SEL feeder relays Fault magnitude and type is displayed on SCADA screens Data is used by DCC Operators to locate probable fault location (manual process)
9 Current System: Engineers DSCADA system pulls fault data directly from SEL feeder relays Fault magnitude and type is displayed on SCADA screens and stored on a webpage Data is used by engineers to find temporary faults (using Socket or CYME) Static fault values placed in GIS are easily available in DistView and on TCMS maps at strategic locations
10 DistView Fault Location Wagon Wheels
11 Validate the concept Collect data about substation breaker operations / lockouts Targets and fault current magnitude (DSCADA webpage) Fault location and cause (TCMS reports) Calculate fault current at the fault location Calculate difference between the calculated value and actual value, measured in spans of wire
12 Validation summary 51 events were studied in Duluth, Lawrenceville, Atlanta, and Cartersville from March 2009 till February 2010 Average difference between actual fault current and predicted location was 6 spans 61% of the values were within 5 spans 92% of the values were within 15 spans
13 Desired System The desire is a system that will automatically: Retrieve fault data Identify fault location Present graphical information to operator Allow first responders to go directly to the fault (including temporary faults)
14 Visualization Tool Operators wanted visualization integrated into TCMS. Utilize Oracle fault calculation engine, work agenda item, and graphical displays Obtain fault data from SEL relay via existing SCADA-TCMS ICCP interface (enhanced to include analog values functionality exists, but not currently implemented)
15 Fault Location: Additional Enhancements, Data Requirements vs. Existing TCMS Enhancements to existing, GIS-derived TCMS electrical model Add source bus impedance (per feeder), wire impedance data (table) For accurate prediction, requires greater level of wire-size accuracy cleanup being done in conjunction with other stimulus project needs
16 GPC - Visualization Pilot 2 Substations electrical models provided to OMS Vendor (Oracle) Peachtree Corners 7 Circuits Tilly Mill 4 Circuits Oracle fault calculator took SEL fault values, converted them to an impedance, and matched the impedances to locations in TCMS Compared TCMS locations to known faults locations
17 Visualization Results The Fault Calculator, Visualization tool and ICCP data stream from DSCADA worked as designed Time requirements were met. Fault locations were displayed in TCMS within 45 seconds of the outage Fault locations were often, but not always, predicted closer to the substation than actual. This indicated that the fault values were too high.
18 Next Steps Finalized statement of work with Oracle to move the pilot to production in late 2011 Continue SEL penetration in substation breakers as part of SGIG. Currently 1600 out of 2018 Create a statement of work with Schweitzer to modify the fault magnitude value for increased accuracy Create a statement of work with Schweitzer to modify how the fault magnitude data is presented in the DNP map of the SEL351S to make it compatible with the new CRG and non IP SEL devices connected to RTUs.
19 Current (A) Voltage (V) AB SEL modification of Fault Magnitude data Oak Street /10/ :13: Va Vb Vc Ia Ib Ic Time (s) Electrotek/EPRI PQView Schweitzer Waveform data from two phase fault Report steady state value instead of maximum value
20 GPC Fault data flow TCMS SCADA Gateway(s) SCADA IP communication based Breaker Relays, Reclosers, and Fault indicators
21 Future Fault Data Flow TCMS SCADA Gateway(s) SCADA IP communication based Breaker Relays, Reclosers, and Fault indicators Non IP SCADA Devices
22 Expected Benefits Addresses Arc Flash issues by changing protection with Hot Line Tags Reduce SAIDI by knowing approximate fault locations Reduce MAIFE & SAIDI by identifying unknown operations before they repeat or become permanent Reduce labor associated with line patrolling Provide diagnostic data for breaker malfunctions & Customer complaints
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