Power Plant Model Validation & Parameter Estimation Using PMU Data

Transcription

1 Power Plant Model Validation & Parameter Estimation Using PMU Data Recent Experiences at PG&E Ron Markham Pacific Gas and Electric Operations Engineering March 26,

2 Quick Review Using PMU Data to Validate Models Field Measurement PMU located at gen facility. During System Disturbances Measure F, V, P, and Q. Simulation in PSLF Isolate generator under study Read in measured F and V Observe model response, P & Q 2

3 Example - Measurement Field Measurement Frequency Voltage Real Power Reactive Power PSLF Simulation Playin F and V Resultant P and Q?? 3

4 Example - Simulation Measured Data Simulation Data 4

5 What Part of Gen Model Causing Problems? One suspect is PSS. PSS easy to check. Review the most recent PSS tuning report and compared to the PSLF model. Differences found between model and PSS Report: Model gain setting is too high Model had only 1 lead/lag stage rather than 2 Model had no provision notch filter 5

6 Review of 2014 Disturbances and PSS Models To understand impact of model differences from test report, events from 2014 were reviewed using four different models: 1. Existing PSS model 2. Reduced gain parameter 3. Bullet 2 + addition of second lead/lag stage 4. Bullet 3 + addition of notch filter Plots for 2014 Events Four pages per event one page per model Measured data in Blue Simulated data in Red 6

7 April 15 NW Gen Drop Original Model Measured Data Simulation Data 7

8 April 15 NW Gen Drop Reduced Gain Measured Data Simulation Data 8

9 April 15 NW Gen Drop 2 LL Measured Data Simulation Data 9

10 April 15 NW Gen Drop 2 LL+NF Measured Data Simulation Data 10

11 April 29 InterMt Gen Drop - Original Model Measured Data Simulation Data 11

12 April 29 InterMt Gen Drop Reduced Gain Measured Data Simulation Data 12

13 April 29 InterMt Gen Drop 2 LL Measured Data Simulation Data 13

14 April 29 InterMt Gen Drop 2 LL+NF Measured Data Simulation Data 14

15 Recommendations for PSS Model Changes Reviewed numerous events from 2014 including Generation loss SLG and 3-phase faults Recommended PSS Model Changes Reduce model gain to that documented in the latest PSS test report. Ensure two lead/lag stages are modeled with appropriate settings rather than just one stage. Do not include notch filter parameters at this time. Further review is recommended. 15

16 Next Steps Continue to review data from new events. Review other model parameters. PPMV Project (EPIC) Install PMUs at four additional generator locations to directly monitor generator output. Compare various PPM Validation and Parameter Estimation Applications PNNL PPMV Tool Matlab/Simulink Parameter Estimation EPRI PPPD (Power Plant Parameter Derivation) Use RTDS Simulation Data from PG&E s POC Facility Known models provide excellent source data Another data source while awaiting data from additional PMUs. 16

17 Tentative Locations for EPIC Project PMUs Helms Gateway Colusa Belden 17

18 PNNL Power Plant Model Validation (PPMV) Tool Run validation for multiple events or power plants. Run with multiple models. View and edit dynamics files. Plots multiple models for comparison. Automatically create reports. 18

19 Matlab/Simulink Packages for Parameter Estimation Mathworks Toolboxes Required for Parameter Estimation Matlab Simulink SimPowerSystems Simscape Simulink Design Optimization Optimization Toolbox Parallel Computing Toolbox* *Recommended PG&E Evaluated Trial Version with Mathworks Demo PG&E provided generator model without exciter, governor or PSS parameters. PG&E provided PMU data from actual event. Mathworks built Simulink model and sample files for parameter estimation. 19

20 Matlab/Simulink Demo 20

21 Estimation Progress Plot Estimating select exciter and governor parameters. Estimations reported at left. Ability to estimate based on a set of events. And validate based on an independent set of events. 21

22 EPRI Power Plant Parameter Derivation (PPPD) PG&E just starting to review PPPD 22

23 Summary PG&E is reviewing PMU data from one power plant for model validation. Resulted in recommendation to update to PSS model. Ongoing review of new data and other model parameters. Project to install PMUs at four additional generator locations, and Evaluate various PPM validation and parameter estimation applications: PNNL PPMV Tool Matlab/Simulink parameter estimation tools EPRI PPPD Others? RTDS simulated data from PG&E s POC will be used as another data source in reviewing PPM validation and parameter estimation tools. 23

24 PPMV and Parameter Estimation at PG&E Thank You Ron Markham 24