Oscillation Monitoring System

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1 Oscillation Monitoring System Mani V. Venkatasubramanian Washington State University Pullman WA

2 Oscillation Monitoring System IEEE C Real-time PMU data stream TCP or UDP OpenPDC OMS SQL server OMS results txt file OMS action adapter built into OpenPDC 64 bit version 1.4 sp1. Available for beta testing. 2

3 Start OMS Flowchart Read data from PDC Event? Yes Damping Monitor Engine No FDD analysis for ambient data Prony analysis for postdisturbance data Event Analysis Engine Moving window crosscheck Moving window crosscheck Poorly damped mode detected? Yes Alarm Controller trigger No 3

4 Complementary Engines Event Analysis Engine Three algorithms: Prony, Matrix Pencil and Hankel Total Least Square. Aimed at events resulting in sudden changes in damping Damping Monitor Engine Ambient noise based. Continuous. Frequency Domain Decomposition Provides early warning on poorly damped modes 4

5 Voltage (V) 5.15 x 10 5 Results from Two Engines Bus Voltage Magnitude at Cumberland Event Analysis Ambient Noise Analysis 1.2 Hz at +1.8% damping. Local Mode Hz at +1.5% damping. Local Mode Time (s) Nov. 29th 2007 TVA event 5

6 Event Monitor Engine OMS Engines Automated Prony type analysis of oscillatory ringdown responses Ten seconds of PMU data analyzed every one second Damping Monitor Engine Automated analysis of ambient noise data Five minutes of PMU data analyzed every ten seconds Multiple PMUs Fast and Accurate 6

7 WECC Project CERTS/DOE Projects Evaluation of OMS tools using MiniWECC and PSLF simulation data and WECC archived data. Entergy Project Implementation of OMS tools for analyzing Entergy PMUs. Damping Monitor Engine: 5 minute data length, 10 second refresh time, 30+ PMUs. Excellent feedback from operations: New developments: Estimation confidence measures, Mode Energy measures, Novel displays (STI). 7

8 FY12 Technical Progress Damping Monitor Engine Four minute and two minute engines developed and tested Efficient post-processing algorithms developed Real-time engine implemented in WECC test server since November 2011 Event Analysis Engine Real-time version updated to openpdc 1.4 sp1 Handles streaming PMU data Outputs to SQL server database 8

9 FY12 Technical Objectives WECC system and Entergy system Design and Testing of Damping Monitor Engine for shorter data lengths Design and Testing of Event Analysis Engine for handling complex events Portability and Cybersecurity of algorithms Engineer friendly and operator friendly Robust algorithms towards data quality issues Develop off-line versions for engineers 9

10 FY12 Technical Work Damping Monitor Engine Field demonstration of real-time engine at Entergy Off-line engine prototype for WECC Event Analysis Engine Field demonstration of real-time engine at Entergy Off-line engine prototype for WECC 10

11 FY12 Risk Factors Data quality issues Different PMU vendors Computational burden OpenPDC updates Validation of results 11

12 FY13 Technical Work WECC system and Entergy system Extend engines to handle hundreds of PMU data in real-time by efficient multithreading Robust algorithms for addressing data quality issues Improve Damping Monitor Engine by running multiple tasks while using shorter data lengths Improve Event Analysis Engine for handling complex events among multiple processors Develop off-line versions for engineers 12

13 Back-up slides 13

14 Damping Monitor Estimation Results Dominant modes are analyzed for each data set (every ten seconds) For each mode: Mode frequency Mode damping ratio Mode energy Mode shape Estimation summary flag Estimation confidence level 14

15 Confidence level, % Mode Energy Damping Ratio / % Frequency / Hz 0.36 Western Data Analysis Case BPA sec Refresh Estimation Results for 0.34 Hz with 0.5 min averaging Time / minutes, Ave.= Hz, Std.= Hz Mode Frequency Time / minutes, Ave.= %, Std.= % Damping Ratio Time / minutes, Ave.= , Std.= Energy Estimate Estimate Confidence Time / minutes, Ave.= , Std.=

16 Damping Ratio / % Fr 0.3Rapid Changes in System Damping Time / minutes, Ave.= Hz, Std.= Hz Western System Event Time / minutes, Ave.= %, Std.= Time (minutes) % 16

17 MALN_Malin_Bus_Voltage_VMag Rules for Real-time Prony Analysis MALN_Malin_Bus_Voltage_VMag vs time Time (s) Three types of Consistency Crosscheck rules Different Curve-fitting Methods (Redundancy) Different Signal Groups (Superposition) Moving Window Analysis (Linearity of Reponses) 17 17

18 Event Analysis Engine Start Read data from PDC and data clean-up Event detection Local PMU Analysis and Crosscheck Local PMU Analysis and Crosscheck Local PMU Analysis Inter-area Mode Analysis and Crosscheck Inter-area Mode Analysis Display 18 18

19 Event Analysis Example Eastern System Event Local oscillations at a generating plant 1.18 Hz oscillations 19 19

20 Case Study 1 Local PMU Analysis PMU5 PMU6 20

21 Case Study 1 Multiple PMU Analysis Consistent estimate at 352 sec Oscillation frequency = 1.18 Hz Mean damping ratio = 0.09% 21

22 Case Study 2 Western event PMU Bus Voltage Event Analysis Damping Estimate -2 22

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