Dissertation
Control of voltage-sourced converters considering internal limits
Doctor of Philosophy (PhD), Washington State University
01/2018
Handle:
https://hdl.handle.net/2376/118244
Abstract
Voltage-sourced converters (VSC) are widely used in a variety of applications including grid applications, vehicular applications, and high-performance motor control systems. There is a growing demand for highly efficient VSC topologies that have a small footprint and output a high-quality voltage. In addition to new VSC topologies, there is also a demand for new control algorithms that provide fast dynamics of a VSC while maintaining its stability and desirable performance in the steady state.
This dissertation presents experimental results for a previously-proposed granular multilevel converter (GMC) and shows its effectiveness in different operating conditions. It also proposes a new PWM-based asymmetric cascaded H-bridge (A-CHB) converter and proposes a switching algorithm, a method for stability analysis, and a design method for this converter.
This dissertation then focuses on the control of VSCs. It proposes a method to choose the trade-off DC-side voltage for a distribution STATCOM (D-STATCOM). The proposed method decreases the power losses of a D-STATCOM without compromising its dynamics. This dissertation also proposes the controllers for VSCs in a wholly converter-based power system. The proposed controllers control the real power and voltages of the generation units and facilitate constant-frequency operation of the power system without relying on high-level controllers and communication links.
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Details
- Title
- Control of voltage-sourced converters considering internal limits
- Creators
- Saleh Ziaieinejad
- Contributors
- Ali Mehrizi-Sani (Advisor)Anjan Bose (Committee Member)Vaithianathan Venkatasubramanian, (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
- 117
- Identifiers
- 99900581820301842
- Language
- English
- Resource Type
- Dissertation