Geomagnetic Disturbance Vulnerability Assessment Case Study Created by: Teshmont Consultants LP Presented to: Western Electricity Coordinating Council Technical Studies Subcommittee January 21, 2016 1 Presenters Jaryn Vaile, E.I.T. jvaile@teshmont.com (403) 705-8001 Dr. Sameh Kodsi, P.Eng., PE skodsi@teshmont.com (204) 228-6426 GMD Vulnerability Assessment Case Study 2 Agenda Geomagnetic Disturbance Overview NERC Standards Case Study Scope, Assumptions and Methodology Results Discussion and Recommendations Questions GMD Vulnerability Assessment Case Study Earth’s Geomagnetic Field 3 Geomagnetic Disturbance Overview GMD Vulnerability Assessment Case Study 4 Effects of a GMD on the Power Grid Induced quasi-dc geomagnetically-induced current (GIC) in transmission systems GMD Vulnerability Assessment Case Study 5 Effects of GIC in AC Systems Transformer half cycle saturation Transformer overheating due to excess flux in the core Repeated exposure to GIC causes damage to insulation and accelerated aging Increased Mvar consumption Decrease in voltage levels and stability margins Reactive compensation devices may be lost during a GMD event Failure can cause voltage instability in the system Inadvertent or intentional protection malfunction 1989 Hydro Quebec – Seven SVC’s tripped GMD Vulnerability Assessment Case Study 6 Effects of GIC in DC Systems Quasi-DC nature of GIC introduces harmonic components into the system SVCs and filter banks in HVDC converter stations are susceptible to harmonics GMD Vulnerability Assessment Case Study 7 NERC Standards GMD Vulnerability Assessment Case Study 8 NERC EOP-010-1 Based on FERC Order No. 779, NERC created two standards, EOP-010-1 and TPL-007-1 to address the effect of GMDs EOP-010-1: Effective April 1, 2015 Two entities: Reliability Coordinator (RC) and Transmission Operator (TO) 3 Requirements: R1: RC shall develop, maintain, and implement a GMD Operating Plan R2: RC shall disseminate forecasted and current space weather conditions as specified in the Operating Plan R3: TO shall develop, maintain, and implement a GMD Operating Procedure or Process to mitigate effects of a GMD GMD Vulnerability Assessment Case Study 9 NERC TPL-007-1 TPL-007-1: Likely to come into effect mid-2016, filed January 2015 Four entities: Planning Coordinator, Transmission Planner, Transmission Owner, Generator Owner Seven requirements for transmission system planned performance during a benchmark GMD Event 7 Requirements: R1: Identify the responsibilities of each entity • determines which entity fulfills each requirement R2: Maintain system models of the planning area R3: Maintain criteria for steady state voltage performance R4: Complete a GMD Vulnerability Assessment every 60 months GMD Vulnerability Assessment Case Study 10 NERC TPL-007-1 Requirements: R5: Provide GIC flow information to be used for transformer thermal assessment, including: • Maximum GIC flow • Effective GIC time series using the benchmark GIC event R6: Conduct a thermal assessment on power transformers where the GIC flow is ≥ 75 A per phase • Should include suggested mitigation actions, if necessary R7: If a system does not meet performance requirements (performs within defined steady state limits), a Corrective Action Plan must be developed GMD Vulnerability Assessment Case Study 11 Case Study GMD Vulnerability Assessment Case Study 12 Objective and Scope Objective: Investigate risks and effects of a GMD on a transmission system and equipment Scope: Study limited to 500 kV and 240 kV stations Create a DC GIC model Calculate level of GIC and increased levels of reactive power consumption on the transmission system equipment Identify transformers with effective GIC ≥ 75 A per phase Provide recommendations for future actions GMD Vulnerability Assessment Case Study 13 Study Assumptions and Parameters The 2015/16 Winter Peak base case was used to model the transmission system. Where transmission lines crossed through areas of different geo-electric field magnitudes, the larger of the two magnitudes was applied. GMD Vulnerability Assessment Case Study 14 Study Assumptions and Parameters (2) When transformer DC resistance was unavailable, transformer modelling data was used. Transmission elements below 200 kV were excluded. A default value of 0.1 Ohm was used for the substation grounding resistance when data was unavailable. Neighbouring systems were modelled as the next path to ground away from the study network. GMD Vulnerability Assessment Case Study 15 Methodology – Model Development Followed NERC requirements and recommendations GIC Model includes: Two 500 kV HVDC lines and interties Multiple networks of 240 kV and above Another utility’s substations directly connected to the network were included using assumptions to model transmission elements All power transformers > 200 kV were included Earth conductivity structures were modeled using data from the Space Weather Hazard Assessment for the region The model included neighbouring networks by including the line to the first substation away and its resistance to ground GMD Vulnerability Assessment Case Study 16 Methodology – Model Development (2) Earth Conductivity Zones Simplified Map GMD Vulnerability Assessment Case Study 17 Methodology – Model Development (3) Earth Zone Mean (V/km) 95% Confidence Interval (V/km) 1 0.049 0.18 3.65 Extreme 1 in 100 Years (V/km) 4.23 2 0.045 0.17 3.28 3.81 3 0.023 0.09 1.61 2.03 4 0.037 0.14 2.76 2.96 5 0.034 0.13 2.43 2.84 6 0.036 0.13 2.57 2.89 7 0.087 0.30 3.95 4.39 8 0.055 0.19 2.50 2.67 9 0.082 0.28 3.79 3.72 10 0.073 0.25 3.37 3.27 Maximum (V/km) GMD Scenario Geo-electric Field Magnitudes GMD Vulnerability Assessment Case Study 18 Methodology – Scenario Development Four GMD scenarios were simulated based on the statistical analysis of actual recorded magnetic fields: 1. 2. 3. 4. Mean scenario represents the average recorded GMD level from over a 30 year period 95% Confidence Interval scenario was established by the cumulative counts of a GMD level as a percentage of the total time over a 30 year period Maximum scenario was established by the maximum recorded geomagnetic data over a 30 year period Extreme 1 in 100 years scenario was developed using the theory of extreme value statistics using recorded data over a 30 year period GMD Vulnerability Assessment Case Study 19 Methodology – Transformer Mvar Loss Modelling Increases in reactive power losses resulting from half- cycle saturation of transformers in presence of high GIC can affect system voltages and lead to voltage collapse under extreme conditions The reactive power losses corresponding to the GIC in a transformer obey a linear relationship The calculated reactive losses were added in the base case power flow model as reactive constant current loads GMD Vulnerability Assessment Case Study 20 Methodology – Transformer Mvar Loss Modelling Generic GIC to Mvar Scaling Factors (PSS®E PAG) GMD Vulnerability Assessment Case Study 21 High Risk Transformer GIC and Mvar Losses Transformers with Effective GIC ≥75 A/Phase (High Risk) Substation Transformer Maximum Effective GIC (A/Phase) Reactive Geo-Electric Power Loss Field (Mvar) Orientation 1-75 T 17501 138.87 19.33 180° Extreme 1 in 100 Years 2-75 Phase-Shifting Trans (PST) 94.65* 27.26 120° Extreme 1 in 100 Years 3-75 T 37501 91.37 12.72 110° Extreme 1 in 100 Years 4-75 T 47501 90.03 12.53 110° Extreme 1 in 100 Years 5-75 T 57501 88.22 12.28 60° Extreme 1 in 100 Years 6-75 HVDC Converter Transformer 88.13 103.99 30° 7-75 T 77501, 02, 03 87.23 102.93 30° Scenario Applied Extreme 1 in 100 Years Extreme 1 in 100 Years *94.65 A/phase occurred with the series compensation in service GMD Vulnerability Assessment Case Study 22 Transformer GIC and MVAR Losses Transformers with Effective GIC 50-75 A/Phase Maximum Reactive Geo-Electric Effective GIC Power Loss Field Scenario Applied (Mvar) Orientation (A/Phase) Substation Transformer 1-50 HVDC Converter Trans 70.01 39.66 60° Extreme 1 in 100 Years 2-50 T 25001, 03, 04 69.77 82.32 40° Extreme 1 in 100 Years 3-50 T 35000, 01, 02 68.92 81.32 90° Extreme 1 in 100 Years 4-50 T 45004, 05, 06 62.37 73.60 130° Extreme 1 in 100 Years 3-50 T 35003 62.21 18.04 90° Extreme 1 in 100 Years 5-50 HVDC Converter Trans 62.17 73.36 60° Extreme 1 in 100 Years 4-50 T 45007, 08, 13 62.07 73.24 130° Extreme 1 in 100 Years 6-50 T 65002 56.17 67.93 40° Extreme 1 in 100 Years 6-50 T 65003 56.17 67.93 40° Extreme 1 in 100 Years 7-50 T 75001 53.10 7.39 160° Extreme 1 in 100 Years 7-50 T 75002 53.10 7.39 160° Extreme 1 in 100 Years GMD Vulnerability Assessment Case Study 23 Transformer GIC and MVAR Losses NORTH CITY Transformers with Effective GIC >10 A/Phase Substation Transformer Maximum Effective GIC (A/Phase) Reactive Power Loss (Mvar) Geo-Electric Field Orientation Scenario Applied NC-1 T 05 25.26 3.52 180° Extreme 1 in 100 Years NC-2 T 03 24.43 7.08 60° Extreme 1 in 100 Years NC-3 T 01 22.90 3.19 90° Extreme 1 in 100 Years NC-2 T 01 19.77 5.73 60° Extreme 1 in 100 Years NC-4 T 02 15.73 2.19 50° Extreme 1 in 100 Years NC-4 T 01 15.73 2.19 50° Extreme 1 in 100 Years NC-2 T 02 13.85 4.02 60° Extreme 1 in 100 Years NC-5 T 02 11.24 1.56 130° Extreme 1 in 100 Years NC-5 T 01 11.18 1.56 130° Extreme 1 in 100 Years GMD Vulnerability Assessment Case Study 24 Transformer GIC and MVAR Losses SOUTH CITY Transformers effective GIC Substation Transformer Maximum Effective GIC (A/Phase) Reactive Power Loss (Mvar) Geo-Electric Field Orientation Scenario Applied SC-1 T 01 20.86 2.90 130° Extreme 1 in 100 Years SC-1 T 02 20.30 2.83 130° Extreme 1 in 100 Years SC-2 T 01 10.53 1.47 40° Extreme 1 in 100 Years SC-3 AUTO 01 9.25 1.29 160° Extreme 1 in 100 Years SC-3 AUTO 02 9.25 1.29 160° Extreme 1 in 100 Years SC-2 T 02 8.16 1.14 40° Extreme 1 in 100 Years SC-2 T 03 8.16 1.14 40° Extreme 1 in 100 Years SC-3 GSU 01 3.25 0.45 160° Extreme 1 in 100 Years SC-3 GSU 02 2.08 0.29 160° Extreme 1 in 100 Years GMD Vulnerability Assessment Case Study 25 SS 4-75, T 47501 GIC and MVAR Loss SS 4-75, T 47501 GIC GMD Vulnerability Assessment Case Study SS 4-75, T 47501 MVAR 26 SS 5-75, T 57501 GIC and MVAR Loss SS 5-75, T 57501 GIC GMD Vulnerability Assessment Case Study SS 5-75, T 57501 MVAR 27 SS 7-75, T 77501/02/03 GIC and MVAR Loss SS 7-75, T 77501/02/03 GIC GMD Vulnerability Assessment Case Study SS 7-75, T 77501/02/03 MVAR 28 Effect of Series Compensation on GIC Maximum Effective GIC (A/phase) 94.65 74.34 Series Compensation Geo-Electric Field Orientation (°) In-Service 110 By-Passed 120 GMD Vulnerability Assessment Case Study 29 Transmission Line GIC Transmission Lines with GIC Flow ≥ 5% of “Winter Rating” Current Length (km) Geo-Electric Field Orientation Scenario Applied Line Voltage (kV) Maximum GIC (A/Phase) L01 500 -118 229 40° Extreme 1 in 100 Years L02 240 -57 97 40° Extreme 1 in 100 Years L03 240 103 63 180° Extreme 1 in 100 Years L04 240 76 65 180° Extreme 1 in 100 Years L05 240 -68 53 70° Extreme 1 in 100 Years L06 240 64 82 180° Extreme 1 in 100 Years L07 240 62 13 50° Extreme 1 in 100 Years L08 240 -61 8 50° Extreme 1 in 100 Years L09 240 60 46 10° Extreme 1 in 100 Years L10 240 60 20 30° Extreme 1 in 100 Years L11 240 40 124 170° Extreme 1 in 100 Years GMD Vulnerability Assessment Case Study 30 0° N Orientation, Extreme 1 in 100 Years Scenario GIC Flows in Transmission Lines and Substation Grounds GMD Vulnerability Assessment Case Study 31 60° NE Orientation, Extreme 1 in 100 Years Scenario GIC Flows in Transmission Lines and Substation Grounds GMD Vulnerability Assessment Case Study 32 90° NE Orientation, Extreme 1 in 100 Years Scenario GIC Flows in Transmission Lines and Substation Grounds GMD Vulnerability Assessment Case Study 33 130° NE Orientation, Extreme 1 in 100 Years Scenario GIC Flows in Transmission Lines and Substation Grounds GMD Vulnerability Assessment Case Study 34 System-Wide Reactive Power Increases Maximum GeoSystem Electric Reactive Power Field Loss (Mvar) Orientation GMD Vulnerability Assessment Case Study Scenario Applied 884 60° Extreme 1 in 100 Years 773 60° Maximum 40 60° 95% Confidence Interval 11 60° Mean 35 System AC Voltages with Reactive Power Increases GMD Vulnerability Assessment Case Study 36 System AC Voltages > 200 kV with Reactive Power Increases - N-0 @ 60° Geo-Electric Field Orientation GMD Vulnerability Assessment Case Study 37 Single Contingency Results – Transformer Effective GIC Transformers with Effective GIC ≥75 A/Phase in Contingency (High Risk) N-0 Change in Geo-Electric Maximum Maximum Field Effective GIC Effective GIC Orientation (A/Phase) (A/Phase) Substation Transformer N-1 Maximum Effective GIC (A/Phase) 8-75 T 87501 80.5 - 828 46.0 – 811 34.6 30° Extreme 1 in 100 Years 8-75 T 87502 79.33 - 828 44.0 – 811 35.33 30° Extreme 1 in 100 Years 9-75 T 97501 89.87 – 622 53.1 - 682 36.77 150° Extreme 1 in 100 Years 10-75 T 107500, 01, 02 101.76 - 828 69.71 - 802 32.05 90° Extreme 1 in 100 Years 10-75 T 107504 108.79 - 734 62.21 - 802 46.58 90° Extreme 1 in 100 Years 11-75 T 117533, 28, 27 104.45 - 499 63.46 - 548 40.99 130° Extreme 1 in 100 Years 12-75 HVDC Converter Transformer 98.14 - 911 70.01 - 884 28.13 60° Extreme 1 in 100 Years 13-75 T 137513, 15, 16 80.57 - 773 72.95 - 836 7.62 30° Extreme 1 in 100 Years Scenario Applied 38 Single Contingency Results – Voltage Stability Worst Case Point of System Voltage Collapse Contingency Point of Geo-Electric Collapse Field Amplification Orientation Factor* Total GIC Scaled Geo-electric Field Magnitude (V/km) Reactive Power Demand Zone Zone Zone Zone Zone Zone Zone Zone Zone Zone 1 2 3 4 5 6 7 8 9 10 (Mvar) N-0 3.6 60° 3150 15.1 13.6 7.2 10.5 10.1 10.3 15.6 9.5 13.3 11.6 Contingency 1 1.9 60° 1700 7.93 7.14 3.81 5.55 5.33 5.42 8.23 5.01 6.98 6.13 Contingency 2 1.9 0° 1409 7.93 7.14 3.81 5.55 5.33 5.42 8.23 5.01 6.98 6.13 Contingency 3 2.0 90° 1606 8.46 7.62 4.06 5.92 5.68 5.78 8.78 5.34 7.44 6.54 Contingency 4 2.6 90° 2054 10.84 9.76 5.20 7.59 7.28 7.41 11.25 6.84 9.53 8.38 Contingency 5 2.6 90° 2054 10.84 9.76 5.20 7.59 7.28 7.41 11.25 6.84 9.53 8.38 Contingency 6 2.6 60° 2266 10.84 9.76 5.20 7.59 7.28 7.41 11.25 6.84 9.53 8.38 Contingency 7 2.6 30° 2173 11.10 10.00 5.33 7.77 7.46 7.59 11.52 7.01 9.77 8.58 SKK2 SKK1 *Amplification Factor is number of times the “Benchmark 1 in 100 Years GMD Magnitude” 39 Slide 39 SKK1 we may call it amplification factor or something like that SKK2 Not sure what the points from 1 to 10 means rgarding the scaled GEO-electric field. are these the numbers associated with the plots in the next slide? please explain. Sameh K.M. Kodsi, 2016/01/19 Sameh K.M. Kodsi, 2016/01/19 SVC Contingency Results – Voltage Stability 40 System AC Voltage with Reactive Power Increases – N-0 @ 60° GeoElectric Field Orientation 41 General Discussion DC winding resistances were unavailable for 55% of transformers Grounding resistance data unavailable for 36% of substations Lower voltage (less than 240 kV) network outside of the scope Seven transformers exceeded the 75 A per phase threshold Preliminary investigation of the system voltage stability performance under benchmark 1 in 100 years GMD scenario, shows no concern of voltage instability GMD Vulnerability Assessment Case Study 42 Discussion - Modeling Autotransformers provide a path for the GIC to travel between the high and low voltage sides Autotransformers represent half of the transformers modeled for this study Two Winding Autotransformer DC Equivalent Exclusion of low voltage side of transformers may affect total GIC flows and the associated increase in the reactive power loading. GMD Vulnerability Assessment Case Study 43 Discussion - Autotransformers In the PSS®E Program Application Guide: Volume 1 the formula for effective GIC in a two-winding autotransformer is given as: Where: ∗ is the number of turns in the series winding is the number of turns in the common winding is the nominal voltage of the high voltage side is the nominal voltage of the low voltage side is the GIC current in the series winding is the GIC current in the common winding GMD Vulnerability Assessment Case Study 44 Discussion - Autotransformers The formulation for effective GIC is derived from equating the sum of the magneto-motive force (MMF) in the series and common windings to a total MMF for the transformer The sign convention for GIC in PSS®E results in and having opposite signs while in reality these currents flow in the same direction through the winding When PSS®E performs the calculation for effective GIC the opposite signs of and result in a cancellation of the MMF in the two windings when the MMFs are actually in the same direction GMD Vulnerability Assessment Case Study 45 Discussion - Autotransformers When the proper sign convention is used in the calculation, significantly higher values of effective GIC in autotransformers are observed than what is reported by PSS®E Teshmont reported this error to PSS®E and received confirmation that this will be fixed in future releases To complete the study, a script was written to perform the correct effective GIC calculations for autotransformers After the corrections 5 additional transformers (7 in total) were found to be above the 75 A per phase limit and 288 Mvar of additional reactive power at the worst-case storm orientation GMD Vulnerability Assessment Case Study 46 Recommendations Perform thermal assessments for transformers that exceed the 75 A/phase (IEEE/ANSI C57.163 – C57.91) Sensitivity of results to the inclusion of lower voltage networks GIC Studies with the inclusion of the entire high voltage network PSCAD/EMTDC studies on harmonic generation due to half-cycle saturation of transformers and interaction with AC filters and SVCs GMD Vulnerability Assessment Case Study 47 THANK YOU! QUESTIONS? GMD Vulnerability Assessment Case Study 48