Accurate Fault Location Using Modeling and Simulation Dr.Mladen Kezunovic and Dr. Ali Abur Status User interface is developed Static system model is tuned under the situation of no additional field data available Testing using fault cases and a new version of software is completed Design and user document is developed Process of Converting PSS/E data into CAPE is initiated Future work Completing process of converting PSS/E data into CAPE is initiated Investigating software performance with CAPE data Customizing the software so that it can be used with CAPE Finishing the Final report A Central Office B C D E F Communication link (DFR Data) Transmission line DFR Substation Fault Unsynchronized phasors and pre-fault breaker status Tuning static system model Apply the GA Obtain a list of faulty branch candidates DFR Assistant DFR raw data DFR data COMTRADE format Faulty branch and fault type Interpretation file Information file entered by the user System model file in PSS/E format PSS/E Short Circuit Program Output: Fault location and fault resistance PSS/E Load Flow Program DFR data synchronization OBJECTIVE ESTIMATING THE FAULT LOCATION FOR THE CASE WHERE ONLY DATA FROM DFRs SPARSELY LOCATED AT SUBSTATIONS ARE AVAILABLE SOFTWARE TESTING USING FAULT DATA COLLECTED FROM DIFFERENT UTILITY SYSTEMS EVALUATING THE PERFORMANCE OF FAULT LOCATION SOFTWARE Load power updated by the user Line data updated by the user Test report Interface Fault data inputted by the user Generator power updated by the user Tuning static model Obtaining the bus numbers of all monitored substations Picking the minimum fitness value and obtaining corresponding index of updated model Obtaining a list of the parameters for selected system model Save the selected model Convergent? End Obtaining the generator bus number in the substation based on the above information Using a specified “search depth” to obtain a list of the load bus numbers Obtaining the generator parameters by invoking the IPLAN program “gen_loadbus.irf” Tuning the selected generators and loads data based on a specific strategy Calculating load flow using updated system model Calculating the fitness value using N Generating enough models? Test results Case # DFR Files Utilized Old Result New Old |Error| (miles) New |Error| Quantities matched 1 Event 676 Event 680 4211-4281 and 50.0% from 4211 4211-4281 and 5.6% from 4211 0.40 0.80 Ckt. 84 (4111-4110) and Ckt. 86 (4411-4281) current 2 Event 679 4278-4746 and 55.2% from 4278 4278-4746 and 56.1% from 4278 1.10 1.05 All recorded currents and voltages 3 Event 627 4062-4492 and 55% from 4062 4036-4492 and 60.8% from 4036 4.20 0.46 Ckt. 03 (4278-4710) current 4 Event 316 4055-4234 and 45.5% from 4181 4055-4234 and 53.7% from 4055 0.60 0.3 Currents in all affected branches 5 Event 365 4416-4530 and 60% from 4416 4416-4530 and 74.1% from 4416 5.70 2.57 All currents and voltages 6 Event 439 4415-4729 and 2.0% from 4415 4416-4530 and 64.4% from 4416 5.20 4.71 Westfield Ckt. 81, external 7 Event 474 4416-4729 and 51.2% from 4416 4416-4729 and 56.8% from 4416 0.70 0.94 All monitored voltages 8 Event 581 54% from 4416 4530-4679 and 0.3% from 4530 4.80 3.02 All monitored currents and voltages 9 Event 805 5915-9073 and 86.6% from 5915 5915-9073 and 78.0% from 5915 15.0 7.20 All monitored currents and voltages, external 10 Event 860 4058-4270 and 69.8% from 4058 4058-4270 and 26.9% from 4058 2.90 1.41 11 Event 250 Event 252 4270-4485 and 89.6% from 4270 15.0% from 4270 3.00 1.46 All monitored currents 12 Event 865 Event 875 3390-4401 and 81.3% from 3390 3390-4001 and 5.80 5.81 Currents on affected Ckt. 98 13 Event 867 Event 876 3391-4676 and 2.26% from 3391 3391-4401 and 46.3% from 3391 4.91 2.13 14 Event 870 Event 877 3391-4401 and 95.9% from 3391 3391-4401 and 21.5% from 3391 7.27 0.48 15 Event 872 3390-4401 and 82.0% from 3390 3390-4401 and 27.4% from 3390 0.14 All currents