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Dominions Application of Pseudo-Measurements to Aid in State Estimation Joseph L. Brown, Ming Zhou, Solomon Yirga, and R. Matthew Gardner So o o ga, a d a e Ga d e Dominion Virginia Power Dominion Virginia Power 28,200 megawatts


  1. Dominion’s Application of Pseudo-Measurements to Aid in State Estimation Joseph L. Brown, Ming Zhou, Solomon Yirga, and R. Matthew Gardner So o o ga, a d a e Ga d e Dominion Virginia Power

  2. Dominion Virginia Power  28,200 megawatts of generation 28,200 megawatts of generation  6,300 miles of high-voltage transmission lines up to 500kV transmission lines, up to 500kV  54,000 miles of distribution lines  2.4 million franchise electric retail customer accounts in VA and NC

  3. State Estimator at Dominion  Operates on a version of Alstom’s “e- p terraplatform”  Over 4,000 buses  Coverage • Internal area: MW and MVAR • E ternal area MW onl • External area: MW only  State Estimation Philosophy • High accuracy for internal buses High accuracy for internal buses • Focus on the accuracy in solving the MW power flow for external buses • Less effort is spent toward the accuracy in solving the MVAR power flow for external buses

  4. State Estimation Network Model PJM PJM DOM Service Area DOM Service Area

  5. State Estimation Network Model  4,975 injections 4,975 injections  863 units (90% of units have MW measurements) measurements)  4,112 loads (64% of loads have MW measurements and 18% have MVAR measurements)  SCADA measurements  Weights are determined by the assigned accuracy class y

  6. Pseudo-measurements  Pseudo-measurements apply when: Pseudo measurements apply when: – No measurement is modeled in SCADA – Telemetry failure Telemetry failure  Pseudo-measurement weight: – An assigned accuracy class that determines the weight

  7. Pseudo-measurement Value  Model value of unit MW output M d l l f it MW t t – Area Watt Regulation (AWR) Mode respect area transactions – Free Flow Mode respect total island load

  8. Pseudo-measurement Value  Model value of load: Model value of load: – MW model value: • Load  load area  associated schedule with a base and parent fraction value for every hour • load hierarchy: • Internal: Load  station load area  division Internal: Load  station load area  division load area  load area • External: Load  division load area  load area area – MVAR model value: • Calculated from MW model value and model power f factor t

  9. Dominion Pseudo-Measurements  Problem: Problem: • Automatically assign the same weight to MW and MVAR pseudo-measurements p • Competing between real measurements and pseudo-measurements  Solution: • Separately weight the MW and MVAR pseudo- p y g p measurements

  10. Cautions and Possibilities for Enhanced Use of Pseudo-Measurements Use of Pseudo-Measurements  Non-redundant measurements • Do not help with bad data identification and detection • Bias is absorbed completely Bias is absorbed completely • Carefully calculating/forecasting the value of pseudo-measurements  Misidentifying bad data with highly weighted biased pseudo-measurements • Assign smaller weights to pseudo-measurements A i ll i ht t d t • Check the estimation results against the real measurements

  11. Future Planned Questions? PMU Installations PMU Installations to be incorporated into system into system developed under thi this grant. t

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