Thesis
A Real Time Synchrophasor Data-Driven Approach for Event Detection in the Power Grid
Washington State University
Master of Science (MS), Washington State University
2017
Handle:
https://hdl.handle.net/2376/102408
Abstract
With the advent of phasor measurement units (PMUs), measurements can be obtained at a very fast rate like never before in power systems. Researchers across the power system community utilize the PMU measurements to develop wide-area monitoring and control applications. Algorithms have been developed to include PMU measurements in the state estimator, to estimate load models and several other applications. The high sampling rate of the PMU measurements enables to detect the power system events as they occur. Therefore, one of the major application is to support system operators to make better decisions based on the observed anomalies and relating to possible events using PMU measurements. The traditional field measurements of the power systems are usually obtained at 4 seconds (SCADA measurement). However, the state estimation takes even longer time to give the correct state of power system. The PMUs give measurement at a sampling rate of 30 samples/sec or higher. This thesis introduces a technique to detect power system events using the synchrophasor measurements. The developed method uses Density-based spatial clustering of data with noise (DBSCAN) assisted by physics-rule based decision tree methods. The effect of data anomalies on the event detection algorithm is developed and an anomaly detection algorithm to solve the problem has been discussed. The operators make decisions based on the different alarms that appear in the control system. Using the PMU measurement, the developed technique can give a real time wide area view of the power system, helping the operator to make better decisions. The Events are classified into Active Power i.e. Load Switching, Generator Drop Reactive Power i.e. Reactive Load change, Capacitor bank switching and transformer tap change and faults. Results indicate satisfactory performance of the developed techniques in event detection.
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Details
- Title
- A Real Time Synchrophasor Data-Driven Approach for Event Detection in the Power Grid
- Creators
- Shikhar Pandey
- Contributors
- Anurag K. Srivastava (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Electrical Engineering and Computer Science, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; [Pullman, Washington] :
- Identifiers
- 99900524880901842
- Language
- English
- Resource Type
- Thesis