Dissertation
LINEAR SYSTEM IDENTIFICATION METHODS FOR POWER SYSTEMS USING SYNCHROPHASORS
Doctor of Philosophy (PhD), Washington State University
01/2020
Handle:
https://hdl.handle.net/2376/112289
Abstract
The behavior of real physical systems can be examined and emulated by using mathematical models. Large interconnected power systems consist of tens of thousands of components such as synchronous generators and loads. The accuracy of the system overall model depends on the accuracy of individual models of each system component. Post-mortem analysis of one of the most sever blackouts in the Unites States on August 10, 1996 demonstrated that the Western Interconnection dynamic model lacked enough accuracy and details, not allowing the system operators to effectively handle the situation based on the system model where it led to the
islanding of the entire Western Interconnection. Since then, there have been a great deal of interest and research into obtaining more and more accurate models. Accordingly, two frameworks are proposed in this dissertation to overcome the model uncertainties and
inaccuracies. The first one aims in improving the accuracy of the available system model by improving the accuracy of models of individual components. To do so, we propose a method based on subspace identification to identify the synchronous generator model parameters using Phasor Measurement Units (PMUs) ambient data. The proposed method does not require any testing on the generator or on the power grid and utilizes only the ambient signals which are available under the grid normal operation. In the second framework, we basically assume that no accurate system model is available and we rely only on the Wide-Area Measurement System (WAMS) to identify and damp out the low-frequency electromechanical oscillations of the system. To do so, first, a novel identification technique is proposed to characterize the modal properties; next, a new measure to determine the best input location and the best feedback signal
is proposed. Finally, appropriate controllers are designed to damp out the poorly damped oscillatory modes.
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Details
- Title
- LINEAR SYSTEM IDENTIFICATION METHODS FOR POWER SYSTEMS USING SYNCHROPHASORS
- Creators
- Mohammadreza Hatami
- Contributors
- Vaithianathan “Mani” Venkatasubramanian (Advisor)Anjan Bose (Committee Member)Sandip Roy (Committee Member)Krishnamoorthy Sivakumar (Committee Member)
- Awarding Institution
- Washington State University
- Academic Unit
- Electrical Engineering and Computer Science, School of
- Theses and Dissertations
- Doctor of Philosophy (PhD), Washington State University
- Number of pages
- 65
- Identifiers
- 99900581613601842
- Language
- English
- Resource Type
- Dissertation